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ORCIDJournal of the American Medical Informatics Association, Volume 28
Volume 28, Number 1, January 2021
- Suzanne Bakken
:
The maturation of clinical research informatics as a subdomain of biomedical informatics. 1-2 - Khaled El Emam, Lucy Mosquera, Chaoyi Zheng:
Optimizing the synthesis of clinical trial data using sequential trees. 3-13 - Jae Hyun Kim, Casey N. Ta, Cong Liu, Cynthia Sung, Alex M. Butler, Latoya A. Stewart, Lyudmila Ena, James R. Rogers, Junghwan Lee, Anna Ostropolets, Patrick B. Ryan, Hao Liu, Shing M. Lee, Mitchell S. V. Elkind, Chunhua Weng:
Towards clinical data-driven eligibility criteria optimization for interventional COVID-19 clinical trials. 14-22 - Grace Wang, Julia Wignall, Dylan Kinard, Vidhi Singh, Carolyn Foster, Sherri Adams, Wanda Pratt, Arti D. Desai:
An implementation model for managing cloud-based longitudinal care plans for children with medical complexity. 23-32 - Rumi Chunara, Yuan Zhao, Ji Chen, Katharine Lawrence, Paul A. Testa, Oded Nov, Devin M. Mann:
Telemedicine and healthcare disparities: a cohort study in a large healthcare system in New York City during COVID-19. 33-41 - Yejin Kim, Shuyu Zheng, Jing Tang, W. Jim Zheng, Zhao Li, Xiaoqian Jiang:
Anticancer drug synergy prediction in understudied tissues using transfer learning. 42-51 - Jeremy J. Michel, Emilia J. Flores, Lauren Dutcher, Nikhil K. Mull, Amy Y. Tsou:
Translating an evidence-based clinical pathway into shareable CDS: developing a systematic process using publicly available tools. 52-61 - Gary Lin, Sauleh Siddiqui, Jen Bernstein, Diego A. Martinez, Lauren Gardner, Tenley Albright, Takeru Igusa:
Examining association between cohesion and diversity in collaboration networks of pharmaceutical clinical trials with drug approvals. 62-70 - Alyssa Long, Alexander Glogowski, Matthew Meppiel, Lisa De Vito, Eric Engle, Michael Harris, Grace Ha, Darren Schneider, Andrei E. Gabrielian, Darrell E. Hurt, Alex Rosenthal:
The technology behind TB DEPOT: a novel public analytics platform integrating tuberculosis clinical, genomic, and radiological data for visual and statistical exploration. 71-79 - Ronilda Lacson, Laila Cochon, Patrick R. Ching, Eseosa Odigie, Neena Kapoor, Staci Gagne, Mark M. Hammer, Ramin Khorasani:
Integrity of clinical information in radiology reports documenting pulmonary nodules. 80-85 - Joanna Abraham, William L. Galanter, Daniel Touchette, Yinglin Xia, Katherine J. Holzer, Vania Leung, Thomas George Kannampallil:
Risk factors associated with medication ordering errors. 86-94 - Lin Shen, Adam Wright, Linda S. Lee, Kunal Jajoo, Jennifer Nayor, Adam B. Landman:
Clinical decision support system, using expert consensus-derived logic and natural language processing, decreased sedation-type order errors for patients undergoing endoscopy. 95-103 - Tomasz Oliwa, Brian Furner, Jessica Schmitt, John A. Schneider, Jessica Ridgway:
Development of a predictive model for retention in HIV care using natural language processing of clinical notes. 104-112 - Jennifer Panich, Natalee Larson, Luanne Sojka, Zach Wallace, James Lokken:
Assessing automated product selection success rates in transmissions between electronic prescribing and community pharmacy platforms. 113-118 - Celeste Campos-Castillo, Denise L. Anthony:
Racial and ethnic differences in self-reported telehealth use during the COVID-19 pandemic: a secondary analysis of a US survey of internet users from late March. 119-125 - Sarah DeLozier, Peter Speltz, Jason Brito, Leigh Anne Tang, Janey Wang, Joshua C. Smith, Dario A. Giuse, Elizabeth Phillips, Kristina Williams, T. Stephen Strickland, Giovanni Davogustto, Dan M. Roden, Joshua C. Denny:
Real-time clinical note monitoring to detect conditions for rapid follow-up: A case study of clinical trial enrollment in drug-induced torsades de pointes and Stevens-Johnson syndrome. 126-131 - Sarvesh Soni, Kirk Roberts:
An evaluation of two commercial deep learning-based information retrieval systems for COVID-19 literature. 132-137 - Alexander V. Alekseyenko, Bashir Hamidi, Trevor D. Faith, Keith A. Crandall, Jennifer G. Powers, Christopher Metts, James E. Madory, Steven L. Carroll, Jihad S. Obeid, Leslie A. Lenert:
Each patient is a research biorepository: informatics-enabled research on surplus clinical specimens via the living BioBank. 138-143 - James R. Rogers, Junghwan Lee, Ziheng Zhou, Ying Kuen Cheung, George Hripcsak, Chunhua Weng:
Contemporary use of real-world data for clinical trial conduct in the United States: a scoping review. 144-154 - Rose Sisk, Lijing Lin, Matthew Sperrin, Jessica K. Barrett, Brian D. M. Tom, Karla Diaz-Ordaz, Niels Peek, Glen P. Martin:
Informative presence and observation in routine health data: A review of methodology for clinical risk prediction. 155-166 - Peter J. Gates, Rae-Anne Hardie, Magdalena Z. Raban, Ling Li, Johanna I. Westbrook:
How effective are electronic medication systems in reducing medication error rates and associated harm among hospital inpatients? A systematic review and meta-analysis. 167-176 - Bethany A. Van Dort, Wu Yi Zheng, Vivek Sundar, Melissa T. Baysari:
Optimizing clinical decision support alerts in electronic medical records: a systematic review of reported strategies adopted by hospitals. 177-183 - Vignesh Subbian, Anthony Solomonides, Melissa D. Clarkson, Vasiliki Nataly Rahimzadeh, Carolyn Petersen, Richard Schreiber, Paul R. DeMuro, Prerna Dua, Kenneth W. Goodman, Bonnie Kaplan, Ross Koppel, Christoph U. Lehmann, Eric C. Pan, Yalini Senathirajah:
Ethics and informatics in the age of COVID-19: challenges and recommendations for public health organization and public policy. 184-189 - Eliane Röösli, Brian Rice, Tina Hernandez-Boussard:
Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19. 190-192 - Yoshua Bengio, Daphne Ippolito, Richard Janda, Max Jarvie, Benjamin Prud'homme, Jean-Franois Rousseau, Abhinav Sharma, Yun William Yu:
Inherent privacy limitations of decentralized contact tracing apps. 193-195 - Martijn J. Schuemie, Patrick B. Ryan, Nicole Pratt, Ruijun Chen, Seng Chan You, Harlan M. Krumholz, David Madigan, George Hripcsak, Marc A. Suchard:
Erratum to: Large-Scale Evidence Generation and Evaluation across a Network of Databases (LEGEND): Assessing Validity Using Hypertension as a Case Study. 196
Volume 28, Number 2, February 2021
- Kim M. Unertl, Joanna Abraham, Suzanne Bakken:
Building on Diana Forsythe's legacy: the value of human experience and context in biomedical and health informatics. 197-208 - Uba Backonja, Lisa Taylor-Swanson, Andrew D. Miller, Se-Hee Jung, Shefali Haldar, Nancy Fugate Woods:
"There's a problem, now what's the solution?": suggestions for technologies to support the menopausal transition from individuals experiencing menopause and healthcare practitioners. 209-221 - Ari H. Pollack, Sonali R. Mishra, Calvin R. Apodaca, Maher Khelifi, Shefali Haldar, Wanda Pratt:
Different roles with different goals: Designing to support shared situational awareness between patients and clinicians in the hospital. 222-231 - Jennifer Y. Hong, Catherine H. Ivory, Courtney B. Vanhouten, Christopher L. Simpson, Laurie Lovett Novak:
Disappearing expertise in clinical automation: Barcode medication administration and nurse autonomy. 232-238 - Sarah D. Fouquet, Laura Fitzmaurice, Y. Raymond Chan, Evan M. Palmer:
Doctors documenting: an ethnographic and informatics approach to understanding attending physician documentation in the pediatric emergency department. 239-248 - Jimmy Phuong, Christina Bandaragoda, Shefali Haldar, Kari A. Stephens, Patricia Ordóñez, Sean D. Mooney, Andrea L. Hartzler:
Information needs and priority use cases of population health researchers to improve preparedness for future hurricanes and floods. 249-260 - Christina Higa, Elizabeth J. Davidson, Joanne R. Loos:
Integrating family and friend support, information technology, and diabetes education in community-centric diabetes self-management. 261-275 - Nicole S. Goedhart, Teun Zuiderent-Jerak, Joey Woudstra, Jacqueline E. W. Broerse, Afke Wieke Betten, Christine Dedding:
Persistent inequitable design and implementation of patient portals for users at the margins. 276-283 - Chrysanthi Papoutsi, Joseph P. Wherton, Sara E. Shaw, Clare Morrison, Trisha Greenhalgh:
Putting the social back into sociotechnical: Case studies of co-design in digital health. 284-293 - Joan S. Ash, Sky M. Corby, Vishnu Mohan, Nicholas Solberg, James Becton, Robby Bergstrom, Benjamin Orwoll, Christopher Hoekstra, Jeffrey Allen Gold:
Safe use of the EHR by medical scribes: a qualitative study. 294-302 - Kristine D. Cantin-Garside, Maury A. Nussbaum, Susan W. White, Sunwook Kim, Chung Do Kim, Diogo M. G. Fortes, Rupa S. Valdez:
Understanding the experiences of self-injurious behavior in autism spectrum disorder: Implications for monitoring technology design. 303-310 - Raniah Aldekhyyel, Jwaher A. Almulhem, Samar Binkheder, Ruaim A. Muaygil, Shahad N Aldekhyyel:
What it means to be a woman in the field of biomedical informatics: exploring the lived experiences of women managers in the kingdom of Saudi Arabia. 311-321 - Anne M. Turner, Jean O. Taylor, Andrea L. Hartzler, Katie P. Osterhage, Alyssa Bosold, Ian S. Painter, George Demiris:
Personal health information management among healthy older adults: Varying needs and approaches. 322-333 - Dawn Dowding, David Russell, Margaret V. McDonald, Marygrace Trifilio, Jiyoun Song, Carlin Brickner, Jingjing Shang:
"A catalyst for action": Factors for implementing clinical risk prediction models of infection in home care settings. 334-341 - Gregory L. Alexander, Kimberly R. Powell, Chelsea B. Deroche:
An evaluation of telehealth expansion in U.S. nursing homes. 342-348 - Elaine C. Khoong, Blythe A. Butler, Omar Mesina, George Su, Triveni B. Defries, Malini Nijagal, Courtney R. Lyles:
Patient interest in and barriers to telemedicine video visits in a multilingual urban safety-net system. 349-353 - Nyiramugisha K. Niyibizi, Candace D. Speight, Charlie Gregor, Yi-An Ko, Stephanie A. Kraft, Andrea R. Mitchell, Bradley G. Phillips, Kathryn M. Porter, Seema K. Shah, Jeremy Sugarman, Benjamin S. Wilfond, Neal W. Dickert:
Public attitudes toward an authorization for contact program for clinical research. 354-359 - Carlos Sáez, Nekane Romero, J. Alberto Conejero, Juan M. García-Gómez:
Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset. 360-364 - Courtney R. Lyles, Urmimala Sarkar, Urvashi Patel, Sarah Lisker, Allison Stark, Vanessa Guzman, Ashwin Patel:
Real-world insights from launching remote peer-to-peer mentoring in a safety net healthcare delivery setting. 365-370 - Kea Turner, Ara Jo, Grace Wei, Amir Alishahi Tabriz, Alecia Clary, Heather S. L. Jim:
Sharing patient-generated data with healthcare providers: findings from a 2019 national survey. 371-376 - Jon W. McKeeby, Christopher M. Siwy, Josanne Revoir, Seth D. Carlson, Maria D. Joyce, Heike Bailin, Karen M. Frank, Mike Krumlauf, Ann Marie Matlock, Laura M. Lee, Mary Sparks, Tony Barnes, Yenshei Liu, Chung-Hee Row, James M. Schmitt, Danielle Smith, Adrian M. Zelazny, Daniel Lonnerdal, Patricia S. Coffey:
Unveiling the silent threat among us: leveraging health information technology in the search for asymptomatic COVID 19 healthcare workers. 377-383 - Kim M. Unertl, Colin G. Walsh, Ellen Wright Clayton:
Combatting human trafficking in the United States: how can medical informatics help? 384-388 - Rupa S. Valdez, Courtney C. Rogers, Henry Claypool, Lucy Trieshmann, Olivia Frye, Claire A. Wellbeloved-Stone, Poorna Kushalnagar:
Ensuring full participation of people with disabilities in an era of telehealth. 389-392 - Subha Madhavan, Lisa Bastarache, Jeffrey S. Brown, Atul J. Butte, David A. Dorr, Peter J. Embí, Charles P. Friedman, Kevin B. Johnson, Jason H. Moore, Isaac S. Kohane, Philip R. O. Payne, Jessica D. Tenenbaum, Mark G. Weiner, Adam B. Wilcox, Lucila Ohno-Machado:
Use of electronic health records to support a public health response to the COVID-19 pandemic in the United States: a perspective from 15 academic medical centers. 393-401 - Mustafa I. Hussain, Mayara Costa Figueiredo, Brian D. Tran, Zhaoyuan Su, Stephen Molldrem, Elizabeth V. Eikey, Yunan Chen:
A scoping review of qualitative research in JAMIA: past contributions and opportunities for future work. 402-413 - Tianrong Chen, Calvin Kalun Or, Jiayin Chen:
Effects of technology-supported exercise programs on the knee pain, physical function, and quality of life of individuals with knee osteoarthritis and/or chronic knee pain: A systematic review and meta-analysis of randomized controlled trials. 414-423
Volume 28, Number 3, March 2021
- Suzanne Bakken:
Biomedical and health informatics approaches remain essential for addressing the COVID-19 pandemic. 425-426 - Melissa A. Haendel, Christopher G. Chute, Tellen D. Bennett, David A. Eichmann, Justin Guinney, Warren A. Kibbe, Philip R. O. Payne, Emily R. Pfaff, Peter N. Robinson, Joel H. Saltz, Heidi Spratt, Christine Suver, John Wilbanks, Adam B. Wilcox, Andrew E. Williams, Chunlei Wu, Clair Blacketer, Robert L. Bradford, James J. Cimino, Marshall Clark, Evan W. Colmenares, Patricia A. Francis, Davera Gabriel, Alexis Graves, Raju Hemadri, Stephanie S. Hong, George Hripcsak, Dazhi Jiao, Jeffrey G. Klann, Kristin Kostka, Adam M. Lee, Harold P. Lehmann, Lora Lingrey, Robert T. Miller, Michele Morris, Shawn N. Murphy, Karthik Natarajan, Matvey B. Palchuk, Usman Sheikh, Harold Solbrig, Shyam Visweswaran, Anita Walden, Kellie M. Walters, Griffin M. Weber, Xiaohan Tanner Zhang, Richard L. Zhu, Benjamin R. C. Amor, Andrew T. Girvin, Amin Manna, Nabeel Qureshi, Michael G. Kurilla, Sam G. Michael, Lili M. Portilla, Joni L. Rutter, Christopher P. Austin, Ken R. Gersing:
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment. 427-443 - Zhi Qiao, Austin Bae, Lucas M. Glass, Cao Xiao, Jimeng Sun:
FLANNEL (Focal Loss bAsed Neural Network EnsembLe) for COVID-19 detection. 444-452 - Jacqueline M. Ferguson, Josephine Jacobs, Maria Yefimova, Liberty Greene, Leonie Heyworth, Donna M. Zulman:
Virtual care expansion in the Veterans Health Administration during the COVID-19 pandemic: clinical services and patient characteristics associated with utilization. 453-462 - Farkhondeh Hassandoust, Saeed Akhlaghpour, Allen C. Johnston:
Individuals' privacy concerns and adoption of contact tracing mobile applications in a pandemic: A situational privacy calculus perspective. 463-471 - Xiang Gao, Qunfeng Dong:
A Bayesian framework for estimating the risk ratio of hospitalization for people with comorbidity infected by SARS-CoV-2 virus. 472-476 - Keiko Yamashita, Shintaro Oyama, Tomohiro Otani, Satoshi Yamashita, Taiki Furukawa, Daisuke Kobayashi, Kikue Sato, Aki Sugano, Chiaki Funada, Kensaku Mori, Naoki Ishiguro, Yoshimune Shiratori:
Smart hospital infrastructure: geomagnetic in-hospital medical worker tracking. 477-486 - Meera Subash, Matthew Sakumoto, Jeremy Bass, Peter Hong, Anoop Muniyappa, Logan Pierce, Colin Purmal, Priya Ramaswamy, Reiri Sono, Colby Uptegraft, David Feinstein, Raman R. Khanna:
The emerging role of clinical informatics fellows in service learning during the COVID-19 pandemic. 487-493 - Siaw-Teng Liaw, Rui Zhou, Sameera Ansari, Jun Gao:
A digital health profile & maturity assessment toolkit: cocreation and testing in the Pacific Islands. 494-503 - William Digan, Aurélie Névéol, Antoine Neuraz, Maxime Wack, David Baudoin, Anita Burgun, Bastien Rance:
Can reproducibility be improved in clinical natural language processing? A study of 7 clinical NLP suites. 504-515 - Denis Newman-Griffis, Guy Divita, Bart Desmet, Ayah Zirikly, Carolyn P. Rosé, Eric Fosler-Lussier:
Ambiguity in medical concept normalization: An analysis of types and coverage in electronic health record datasets. 516-532 - Andrew Zhang, Ling Teng, Gil Alterovitz:
An explainable machine learning platform for pyrazinamide resistance prediction and genetic feature identification of Mycobacterium tuberculosis. 533-540 - Filipe R. Lucini, Karla D. Krewulak, Kirsten M. Fiest, Sean M. Bagshaw, Danny J. Zuege, Joon Lee, Henry T. Stelfox:
Natural language processing to measure the frequency and mode of communication between healthcare professionals and family members of critically ill patients. 541-548 - Noam Barda, Gal Yona, Guy N. Rothblum, Philip Greenland, Morton Leibowitz, Ran D. Balicer, Eitan Bachmat, Noa Dagan:
Addressing bias in prediction models by improving subpopulation calibration. 549-558 - Hossein Estiri, Sebastien Vasey, Shawn N. Murphy:
Generative transfer learning for measuring plausibility of EHR diagnosis records. 559-568 - Yadan Fan, Sicheng Zhou, Yifan Li, Rui Zhang:
Deep learning approaches for extracting adverse events and indications of dietary supplements from clinical text. 569-577 - Amol A. Verma, Sachin V. Pasricha, Hae Young Jung, Vladyslav Kushnir, Denise Y. F. Mak, Radha Koppula, Yishan Guo, Janice L. Kwan, Lauren Lapointe-Shaw, Shail Rawal, Terence Tang, Adina Weinerman, Fahad Razak:
Assessing the quality of clinical and administrative data extracted from hospitals: the General Medicine Inpatient Initiative (GEMINI) experience. 578-587 - Paul C. Tang, Sarah Miller, Harry Stavropoulos, Uri Kartoun, John Zambrano, Kenney Ng:
Precision population analytics: population management at the point-of-care. 588-595 - Ziqi Zhang, Chao Yan, Thomas A. Lasko, Jimeng Sun, Bradley A. Malin:
SynTEG: a framework for temporal structured electronic health data simulation. 596-604 - Jason M. Baron, Ketan Paranjape, Tara Love, Vishakha Sharma, Denise Heaney, Matthew Prime:
Development of a "meta-model" to address missing data, predict patient-specific cancer survival and provide a foundation for clinical decision support. 605-615 - Yingcheng Sun, Alex M. Butler, Fengyang Lin, Hao Liu, Latoya A. Stewart, Jae Hyun Kim, Betina Ross S. Idnay, Qingyin Ge, Xinyi Wei, Cong Liu, Chi Yuan, Chunhua Weng:
The COVID-19 Trial Finder. 616-621 - Saurabh Rahurkar, Joshua R. Vest, John T. Finnell, Brian E. Dixon:
Trends in user-initiated health information exchange in the inpatient, outpatient, and emergency settings. 622-627 - Jennifer R. Simpson, Chen-Tan Lin, Amber Sieja, Stefan H. Sillau, Jonathan Pell:
Optimizing the electronic health record: An inpatient sprint addresses provider burnout and improves electronic health record satisfaction. 628-631 - Elaine C. Khoong, Valy Fontil, Natalie A. Rivadeneira, Mekhala Hoskote, Shantanu Nundy, Courtney R. Lyles, Urmimala Sarkar:
Impact of digitally acquired peer diagnostic input on diagnostic confidence in outpatient cases: A pragmatic randomized trial. 632-637 - Natasha Azzopardi-Muscat, Hans Henri P. Kluge, Samira Asma, David Novillo-Ortiz:
A call to strengthen data in response to COVID-19 and beyond. 638-639 - Raheel Sayeed, James R. Jones, Daniel Gottlieb, Joshua C. Mandel, Kenneth D. Mandl:
A proposal for shoring up Federal Trade Commission protections for electronic health record-connected consumer apps under 21st Century Cures. 640-645 - Curtis L. Cole, Soumitra Sengupta, Sarah Collins Rossetti, David K. Vawdrey, Michael Halaas, Thomas M. Maddox, Geoff Gordon, Trushna Dave, Philip R. O. Payne, Andrew E. Williams, Deborah Estrin:
Ten principles for data sharing and commercialization. 646-649 - Elizabeth Montague, T. Eugene Day, Dwight Barry, Maria Brumm, Aaron McAdie, Andrew B. Cooper, Julia Wignall, Steve Erdman, Diahnna Núñez, Douglas Diekema, David Danks:
The case for information fiduciaries: The implementation of a data ethics checklist at Seattle Children's Hospital. 650-652 - Jessica M. Schwartz, Amanda J. Moy, Sarah Collins Rossetti, Noémie Elhadad, Kenrick D. Cato:
Clinician involvement in research on machine learning-based predictive clinical decision support for the hospital setting: A scoping review. 653-663 - Justin F. Rousseau, William M. Tierney:
Letter to the editor in response to "Risk prediction of delirium in hospitalized patients using machine learning: an implementation and prospective evaluation study". 664-665 - Stefanie Jauk:
Reply to Rousseau and Tierney. 666-667 - Houcemeddine Turki, Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha:
Enhancing filter-based parenthetic abbreviation extraction methods. 668-669 - Chris J. Lu, Amanda Payne, James G. Mork:
Proper filter usage to retrieve multiwords from the MEDLINE n-gram set: Reply to the Turki et al commentary "Enhancing filter-based parenthetic abbreviation extraction methods". 670 - Mohammad S. Jalali, Adam B. Landman, William J. Gordon:
Telemedicine, privacy, and information security in the age of COVID-19. 671-672 - Nathanael R. Fillmore, Danne C. Elbers, Jennifer La, Theodore C. Feldman, Sung Feng-Chi, Robert B. Hall, Vinh Q. Nguyen, Nicholas B. Link, Robert Zwolinski, Svitlana Dipietro, Stephen J. Miller, Anahit Aleksanyan, Sergey Goryachev, Paul Corcoran, Steven J. Bergstrom, Michael A. Parenteau, Robert S. Sprague, David J. Thornton, Jane A. Driver, Judith M. Strymish, Stewart Evans, Benjamin Colonna, Mary T. Brophy, Nhan V. Do:
Corrigendum to: An Application to Support COVID-19 Occupational Health and Patient Tracking at a Veterans Affairs Medical Center. 673
Volume 28, Number 4, March 2021
- Suzanne Bakken:
Patients and consumers (and the data they generate): an underutilized resource. 675-676 - Carolyn Petersen, Jeffery Smith, Robert R. Freimuth, Kenneth W. Goodman, Gretchen Purcell Jackson, Joseph L. Kannry, Hongfang Liu, Subha Madhavan, Dean F. Sittig, Adam Wright:
Recommendations for the safe, effective use of adaptive CDS in the US healthcare system: an AMIA position paper. 677-684 - Barbara D. Lam, Fabienne C. Bourgeois, Zhiyong J. Dong, Sigall K. Bell:
Speaking up about patient-perceived serious visit note errors: Patient and family experiences and recommendations. 685-694 - Robert M. Cronin, Alese E. Halvorson, Cassie Springer, Xiaoke Feng, Lina M. Sulieman, Roxana Loperena-Cortes, Kelsey R. Mayo, Robert J. Carroll, Qingxia Chen, Brian K. Ahmedani, Jason Karnes, Bruce Korf, Christopher J. O'Donnell, Jun Qian, Andrea H. Ramirez:
Comparison of family health history in surveys vs electronic health record data mapped to the observational medical outcomes partnership data model in the All of Us Research Program. 695-703 - Anuj K. Dalal, Nicholas R. Piniella, Theresa E. Fuller, Denise Pong, Michael Pardo, Nate Bessa, Catherine Yoon, Stuart R. Lipsitz, Jeffrey L. Schnipper:
Evaluation of electronic health record-integrated digital health tools to engage hospitalized patients in discharge preparation. 704-712 - Qingxiong Tan, Mang Ye, Andy Jinhua Ma, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Pong C. Yuen:
Importance-aware personalized learning for early risk prediction using static and dynamic health data. 713-726 - Jordan Everson, Vaishali Patel, Julia Adler-Milstein:
Information blocking remains prevalent at the start of 21st Century Cures Act: results from a survey of health information exchange organizations. 727-732 - Junyi Gao, Rakshith Sharma Srinivasa, Cheng Qian, Lucas M. Glass, Jeffrey Spaeder, Justin Romberg, Jimeng Sun, Cao Xiao:
STAN: spatio-temporal attention network for pandemic prediction using real-world evidence. 733-743 - Stuart J. Nelson, Allen J. Flynn, Mark S. Tuttle:
A bottom-up approach to creating an ontology for medication indications. 753-758 - Wenyu Song, Min-Jeoung Kang, Linying Zhang, Wonkyung Jung, Jiyoun Song, David W. Bates, Patricia C. Dykes:
Predicting pressure injury using nursing assessment phenotypes and machine learning methods. 759-765 - Patricia L. Kavanagh, Francine Frater, Tamara Navarro, Peter Lavita, Rick Parrish, Alfonso Iorio:
Optimizing a literature surveillance strategy to retrieve sound overall prognosis and risk assessment model papers. 766-771 - Hossein Estiri, Zachary H. Strasser, Shawn N. Murphy:
High-throughput phenotyping with temporal sequences. 772-781 - Elizabeth McNeer, Cole Beck, Hannah L. Weeks, Michael L. Williams, Nathan T. James, Cosmin Adrian Bejan, Leena Choi:
Building longitudinal medication dose data using medication information extracted from clinical notes in electronic health records. 782-790 - Honghan Wu, Huayu Zhang, Andreas Karwath, Zina M. Ibrahim, Ting Shi, Xin Zhang, Kun Wang, Jiaxing Sun, Kevin Dhaliwal, Daniel Bean, Victor Roth Cardoso, Kezhi Li, James T. Teo, Amitava Banerjee, Fang Gao-Smith, Tony Whitehouse, Tonny Veenith, Georgios V. Gkoutos, Xiaodong Wu, Richard J. B. Dobson, Bruce Guthrie:
Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2. 791-800 - Dhamanpreet Kaur, Matthew Sobiesk, Shubham Patil, Jin Liu, Puran Bhagat, Amar Gupta, Natasha Markuzon:
Application of Bayesian networks to generate synthetic health data. 801-811 - Tian Kang, Adler J. Perotte, Youlan Tang, Casey N. Ta, Chunhua Weng:
UMLS-based data augmentation for natural language processing of clinical research literature. 812-823 - Laura Hollister-Meadows, Rachel L. Richesson, Jennie De Gagne, Neil Rawlins:
Association between evidence-based training and clinician proficiency in electronic health record use. 824-831 - Suthida Suwanvecho, Harit Suwanrusme, Tanawat Jirakulaporn, Surasit Issarachai, Nimit Taechakraichana, Palita Lungchukiet, Wimolrat Decha, Wisanu Boonpakdee, Nittaya Thanakarn, Pattanawadee Wongrattananon, Anita M. Preininger, Metasebya Solomon, Suwei Wang, Rezzan Hekmat, Irene Dankwa-Mullan, Edward H. Shortliffe, Vimla L. Patel, Yull Arriaga, Gretchen Purcell Jackson, Narongsak Kiatikajornthada:
Comparison of an oncology clinical decision-support system's recommendations with actual treatment decisions. 832-838 - Brandon Lwowski, Anthony Rios:
The risk of racial bias while tracking influenza-related content on social media using machine learning. 839-849 - Mollie McKillop, Brett R. South, Anita M. Preininger, Mitch Mason, Gretchen Purcell Jackson:
Leveraging conversational technology to answer common COVID-19 questions. 850-855 - Suzanne Morrison Cox, Stephen B. Johnson, Eva Shiu, Sue Boren:
The national landscape of culminating experiences in master's programs in health and biomedical informatics. 856-861 - Lorne W. Walker, Andrew J. Nowalk, Shyam Visweswaran:
Predicting outcomes in central venous catheter salvage in pediatric central line-associated bloodstream infection. 862-867 - Thomas M. Sutter, Jan A. Roth, Kieran Chin-Cheong, Balthasar L. Hug, Julia E. Vogt:
A comparison of general and disease-specific machine learning models for the prediction of unplanned hospital readmissions. 868-873 - Bryan P. Bednarski, Akash Deep Singh, William M. Jones:
On collaborative reinforcement learning to optimize the redistribution of critical medical supplies throughout the COVID-19 pandemic. 874-878 - Hanson Hsu, Peter W. Greenwald, Matthew R. Laghezza, Peter Steel, Richard Trepp, Rahul Sharma:
Clinical informatics during the COVID-19 pandemic: Lessons learned and implications for emergency department and inpatient operations. 879-889 - Thomas P. Quinn, Manisha Senadeera, Stephan Jacobs, Simon Coghlan, Vuong Le:
Trust and medical AI: the challenges we face and the expertise needed to overcome them. 890-894
Volume 28, Number 5, April 2021
- Eric G. Poon, S. Trent Rosenbloom, Kai Zheng:
Health information technology and clinician burnout: Current understanding, emerging solutions, and future directions. 895-898 - Michael G. Semanik, Peter C. Kleinschmidt, Adam Wright, DuWayne L. Willett, Shannon M. Dean, Sameh N. Saleh, Zoe Co, Emmanuel Sampene, Joel R. Buchanan:
Impact of a problem-oriented view on clinical data retrieval. 899-906 - Brian D. Tran, Kathryn Rosenbaum, Kai Zheng:
An interview study with medical scribes on how their work may alleviate clinician burnout through delegated health IT tasks. 907-914 - Yang Chen, Ruba Aljafari, Bo Xiao, Viswanath Venkatesh:
Empowering physicians with health information technology: An empirical investigation in Chinese hospitals. 915-922 - Fatema Akbar, Gloria Mark, E. Margaret Warton, Mary E. Reed, Stephanie Prausnitz, Jeffrey A. East, Mark F. Moeller, Tracy A. Lieu:
Physicians' electronic inbox work patterns and factors associated with high inbox work duration. 923-930 - Eli M. Lourie, Levon Haig Utidjian, Maria F. Ricci, Linda Webster, Carola Young, Stephanie M. Grenfell:
Reducing electronic health record-related burnout in providers through a personalized efficiency improvement program. 931-937 - Lauren A. Peccoralo, Carly A. Kaplan, Robert H. Pietrzak, Dennis S. Charney, Jonathan A. Ripp:
The impact of time spent on the electronic health record after work and of clerical work on burnout among clinical faculty. 938-947 - Justin B. Starren, William M. Tierney, Marc S. Williams, Paul C. Tang, Charlene R. Weir, Ross Koppel, Philip R. O. Payne, George Hripcsak, Don E. Detmer:
A retrospective look at the predictions and recommendations from the 2009 AMIA policy meeting: did we see EHR-related clinician burnout coming? 948-954 - Sally L. Baxter, Nate C. Apathy, Dori A. Cross, Christine A. Sinsky, Michelle R. Hribar:
Measures of electronic health record use in outpatient settings across vendors. 955-959 - H. C. Eschenroeder Jr., Lauren C. Manzione, Julia Adler-Milstein, Connor Bice, Robert Cash, Cole Duda, Craig Joseph, John S. Lee, Amy Maneker, Karl A. Poterack, Sarah B. Rahman, Jacob Jeppson, Christopher Longhurst:
Associations of physician burnout with organizational electronic health record support and after-hours charting. 960-966 - Kevin B. Johnson, Michael J. Neuss, Don Eugene Detmer:
Electronic health records and clinician burnout: A story of three eras. 967-973 - Oliver T. Nguyen, Nyasia J. Jenkins, Neel Khanna, Shivani Shah, Alexander J. Gartland, Kea Turner, Lisa J. Merlo:
A systematic review of contributing factors of and solutions to electronic health record-related impacts on physician well-being. 974-984 - Kelly J. Thomas Craig, Van C. Willis, David Gruen, Kyu Rhee, Gretchen P. Jackson:
The burden of the digital environment: a systematic review on organization-directed workplace interventions to mitigate physician burnout. 985-997 - Amanda J. Moy, Jessica M. Schwartz, Ruijun Chen, Shirin Sadri, Eugene Lucas, Kenrick D. Cato, Sarah Collins Rossetti:
Measurement of clinical documentation burden among physicians and nurses using electronic health records: a scoping review. 998-1008 - Qi Yan, Zheng Jiang, Zachary Harbin, Preston H. Tolbert, Mark G. Davies:
Exploring the relationship between electronic health records and provider burnout: A systematic review. 1009-1021 - Andrew Gettinger, Teresa Zayas-Cabán:
HITECH to 21st century cures: clinician burden and evolving health IT policy. 1022-1025 - Pascale Carayon, Megan E. Salwei:
Moving toward a sociotechnical systems approach to continuous health information technology design: the path forward for improving electronic health record usability and reducing clinician burnout. 1026-1028 - Aaron Z. Hettinger, Edward R. Melnick, Raj M. Ratwani:
Advancing electronic health record vendor usability maturity: Progress and next steps. 1029-1031 - Thomas George Kannampallil, Joanna Abraham, Sunny S. Lou, Philip R. O. Payne:
Conceptual considerations for using EHR-based activity logs to measure clinician burnout and its effects. 1032-1037 - Michelle S. Lee, Vinod E. Nambudiri:
Electronic consultations and clinician burnout: An antidote to our emotional pandemic? 1038-1041 - Charlene R. Weir, Peter Taber, Teresa Taft, Thomas J. Reese, Barbara Jones, Guilherme Del Fiol:
Feeling and thinking: can theories of human motivation explain how EHR design impacts clinician burnout? 1042-1046 - Marc S. Williams:
Misdiagnosis: Burnout, moral injury, and implications for the electronic health record. 1047-1050 - Jiancheng Ye:
The impact of electronic health record-integrated patient-generated health data on clinician burnout. 1051-1056 - Christine Dymek, Bryan Kim, Genevieve B. Melton, Thomas H. Payne, Hardeep Singh, Chun-Ju Hsiao:
Building the evidence-base to reduce electronic health record-related clinician burden. 1057-1061
Volume 28, Number 6, June 2021
- Suzanne Bakken:
Progress toward a science of learning systems for healthcare. 1063-1064 - Dennis H. Murphree, Patrick M. Wilson, Shusaku W. Asai, Daniel J. Quest, Yaxiong Lin, Piyush Mukherjee, Nirmal Chhugani, Jacob J. Strand, Gabriel Demuth, David Mead, Brian Wright, Andrew M. Harrison, Jalal Soleimani, Vitaly Herasevich, Brian W. Pickering, Curtis B. Storlie:
Improving the delivery of palliative care through predictive modeling and healthcare informatics. 1065-1073 - Ilona Leviatan, Bernice Oberman, Eyal Zimlichman, Gideon Y. Stein:
Associations of physicians' prescribing experience, work hours, and workload with prescription errors. 1074-1080 - Sonam N. Shah, Mary G. Amato, Katherine G. Garlo, Diane L. Seger, David W. Bates:
Renal medication-related clinical decision support (CDS) alerts and overrides in the inpatient setting following implementation of a commercial electronic health record: implications for designing more effective alerts. 1081-1087 - David Scheinker, Matt Hollingsworth, Anna Brody, Carey Phelps, William Bryant, Francesca Pei, Kristin Petersen, Alekhya Reddy, James Wall:
The design and evaluation of a novel algorithm for automated preference card optimization. 1088-1097 - Chungsoo Kim, Seng Chan You, Jenna Marie Reps, Jae Youn Cheong, Rae Woong Park:
Machine-learning model to predict the cause of death using a stacking ensemble method for observational data. 1098-1107 - Michael Francis Gensheimer, Sonya Aggarwal, Kathryn R. K. Benson, Justin N. Carter, Solomon Henry, Douglas J. Wood, Scott G. Soltys, Steven Hancock, Erqi Pollom, Nigam H. Shah, Daniel T. Chang:
Automated model versus treating physician for predicting survival time of patients with metastatic cancer. 1108-1116 - Nathaniel Hendrix, A. Brett Hauber, Christoph I. Lee, Aasthaa Bansal, David L. Veenstra:
Artificial intelligence in breast cancer screening: primary care provider preferences. 1117-1124 - Lu He, Tingjue Yin, Zhaoxian Hu, Yunan Chen, David A. Hanauer, Kai Zheng:
Developing a standardized protocol for computational sentiment analysis research using health-related social media data. 1125-1134 - Qingyu Chen, Tiarnan D. L. Keenan, Alexis Allot, Yifan Peng, Elvira Agrón, Amitha Domalpally, Caroline C. W. Klaver, Daniel T. Luttikhuizen, Marcus H. Colyer, Catherine A. Cukras, Henry E. Wiley, M. Teresa Magone, Chantal Cousineau-Krieger, Wai T. Wong, Yingying Zhu, Emily Y. Chew, Zhiyong Lu:
Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration. 1135-1148 - Kenneth Jung, Sehj Kashyap, Anand Avati, Stephanie Harman, Heather Shaw, Ron C. Li, Margaret Smith, Kenny Shum, Jacob Javitz, Yohan Vetteth, Tina Seto, Steven C. Bagley, Nigam H. Shah:
A framework for making predictive models useful in practice. 1149-1158 - Matthew T. Patrick, Redina Bardhi, Kalpana Raja, Kevin He, Lam C. Tsoi:
Advancement in predicting interactions between drugs used to treat psoriasis and its comorbidities by integrating molecular and clinical resources. 1159-1167 - Bob Chen, Wael Alrifai, Cheng Gao, Barrett Jones, Laurie L. Novak, Nancy M. Lorenzi, Daniel J. France, Bradley A. Malin, You Chen:
Mining tasks and task characteristics from electronic health record audit logs with unsupervised machine learning. 1168-1177 - Matthew T. MacLean, Qasim Jehangir, Marijana Vujkovic, Yi-An Ko, Harold Litt, Arijitt Borthakur, Hersh Sagreiya, Mark Rosen, David A. Mankoff, Mitchell D. Schnall, Haochang Shou, Julio A. Chirinos, Scott M. Damrauer, Drew A. Torigian, Rotonya Carr, Daniel J. Rader, Walter R. Witschey:
Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank. 1178-1187 - Michael Roimi, Rom Gutman, Jonathan Somer, Asaf Ben Arie, Ido Calman, Yaron Bar-Lavie, Udi Gelbshtein, Sigal Liverant-Taub, Arnona Ziv, Danny Eytan, Malka Gorfine, Uri Shalit:
Development and validation of a machine learning model predicting illness trajectory and hospital utilization of COVID-19 patients: A nationwide study. 1188-1196 - Shantanu Ghosh, Jiang Bian, Yi Guo, Mattia Prosperi:
Deep propensity network using a sparse autoencoder for estimation of treatment effects. 1197-1206 - Santiago Romero-Brufau, Daniel Whitford, Matthew G. Johnson, Joel Hickman, Bruce W. Morlan, Terry M. Therneau, James M. Naessens, Jeanne M. Huddleston:
Using machine learning to improve the accuracy of patient deterioration predictions: Mayo Clinic Early Warning Score (MC-EWS). 1207-1215 - Murtaza Nasir, Nichalin S. Summerfield, Asil Oztekin, Margaret Knight, Leland K. Ackerson, Stephanie Carreiro:
Machine learning-based outcome prediction and novel hypotheses generation for substance use disorder treatment. 1216-1224 - Caroline A. Figueroa, Adrián Aguilera, Bibhas Chakraborty, Arghavan Modiri, Jai Aggarwal, Nina Deliu, Urmimala Sarkar, Joseph Jay Williams, Courtney R. Lyles:
Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions. 1225-1234 - Matt Docherty, Stephane A. Regnier, Gorana Capkun, Maria-Magdalena Balp, Qin Ye, Nico Janssens, Andreas Tietz, Jürgen Löffler, Jennifer Cai, Marcos C. Pedrosa, Jörn M. Schattenberg:
Development of a novel machine learning model to predict presence of nonalcoholic steatohepatitis. 1235-1241 - Sarah Collins Rossetti, Chris Knaplund, David J. Albers, Patricia C. Dykes, Min-Jeoung Kang, Zfania Tom Korach, Li Zhou, Kumiko Schnock, Jose P. Garcia, Jessica M. Schwartz, Li-heng Fu, Jeffrey G. Klann, Graham Lowenthal, Kenrick Cato:
Healthcare Process Modeling to Phenotype Clinician Behaviors for Exploiting the Signal Gain of Clinical Expertise (HPM-ExpertSignals): Development and evaluation of a conceptual framework. 1242-1251 - Anupama Gunshekar Cemballi, Andrew J. Karter, Dean Schillinger, Jennifer Y. Liu, Danielle S. McNamara, William Brown III, Scott A. Crossley, Wagahta Semere, Mary Reed, Jill Y. Allen, Courtney R. Lyles:
Descriptive examination of secure messaging in a longitudinal cohort of diabetes patients in the ECLIPPSE study. 1252-1258 - Karthik V. Sarma, Stephanie A. Harmon, Thomas Sanford, Holger R. Roth, Ziyue Xu, Jesse Tetreault, Daguang Xu, Mona G. Flores, Alex G. Raman, Rushikesh Kulkarni, Bradford J. Wood, Peter L. Choyke, Alan Priester, Leonard S. Marks, Steven S. Raman, Dieter Enzmann, Baris Turkbey, William Speier, Corey W. Arnold:
Federated learning improves site performance in multicenter deep learning without data sharing. 1259-1264 - Alon Geva, Molei Liu, Vidul Ayakulangara Panickan, Paul Avillach, Tianxi Cai, Kenneth D. Mandl:
A high-throughput phenotyping algorithm is portable from adult to pediatric populations. 1265-1269 - Ashley C. Griffin, Tiffany I. Leung, Jessica D. Tenenbaum, Arlene E. Chung:
Gender representation in U.S. biomedical informatics leadership and recognition. 1270-1274 - Jingqi Wang, Noor Abu-El-Rub, Josh Gray, Huy Anh Pham, Yujia Zhou, Frank J. Manion, Mei Liu, Xing Song, Hua Xu, Masoud Rouhizadeh, Yaoyun Zhang:
COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model. 1275-1283 - James R. Jones, Daniel Gottlieb, Joshua C. Mandel, Vladimir Ignatov, Alyssa Ellis, Wayne Kubick, Kenneth D. Mandl:
A landscape survey of planned SMART/HL7 bulk FHIR data access API implementations and tools. 1284-1287 - Oliver T. Nguyen, Shivani Shah, Alexander J. Gartland, Arpan Parekh, Kea Turner, Sue S. Feldman, Lisa J. Merlo:
Factors associated with nurse well-being in relation to electronic health record use: A systematic review. 1288-1297 - Myron Anthony Godinho, Sameera Ansari, Guan Nan Guo, Siaw-Teng Liaw:
Toolkits for implementing and evaluating digital health: A systematic review of rigor and reporting. 1298-1307 - Kevin M. Overmann, Danny T. Y. Wu, Catherine Xu, Shwetha Bindhu, Lindsey Barrick:
Real-time locating systems to improve healthcare delivery: A systematic review. 1308-1317 - Martin Hensher, Paul Cooper, Sithara Wanni Arachchige Dona, Mary Rose Angeles, Dieu Nguyen, Natalie Heynsbergh, Mary Lou Chatterton, Anna Peeters:
Scoping review: Development and assessment of evaluation frameworks of mobile health apps for recommendations to consumers. 1318-1329 - Alan H. Morris, Brian Stagg, Michael Lanspa, James Orme, Terry P. Clemmer, Lindell K. Weaver, Frank Thomas, Colin K. Grissom, Ellie Hirshberg, Thomas D. East, Carrie Jane Wallace, Michael P. Young, Dean F. Sittig, Antonio Pesenti, Michela Bombino, Eduardo Beck, Katherine A. Sward, Charlene R. Weir, Shobha S. Phansalkar, Gordon R. Bernard, B. Taylor Thompson, Roy Brower, Jonathon D. Truwit, Jay S. Steingrub, R. Duncan Hite, Douglas F. Willson, Jerry J. Zimmerman, Vinay M. Nadkarni, Adrienne Randolph, Martha A. Q. Curley, Christopher J. L. Newth, Jacques Lacroix, Michael S. D. Agus, Kang H. Lee, Bennett P. deBoisblanc, R. Scott Evans, Dean K. Sorenson, Anthony Wong, Michael V. Boland, David W. Grainger, Willard H. Dere, Alan S. Crandall, Julio C. Facelli, Stanley M. Huff, Peter J. Haug, Ulrike Pielmeier, Stephen Edward Rees, Dan S. Karbing, Steen Andreassen, Eddy Fan, Roberta M. Goldring, Kenneth I. Berger, Beno W. Oppenheimer, Eugene Wesley Ely, Ognjen Gajic, Brian W. Pickering, David A. Schoenfeld, Irena Tocino, Russell S. Gonnering, Peter J. Pronovost, Lucy A. Savitz, Didier Dreyfuss, Arthur S. Slutsky, James D. Crapo, Derek C. Angus, Michael R. Pinsky, Brent James, Donald M. Berwick:
Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions. 1330-1344 - Teresa Zayas-Cabán, Kevin J. Chaney, Courtney C. Rogers, Joshua C. Denny, P. Jon White:
Meeting the challenge: Health information technology's essential role in achieving precision medicine. 1345-1352 - Tina Hernandez-Boussard, Matthew P. Lungren, Nigam Shah:
Conflicting information from the Food and Drug Administration: Missed opportunity to lead standards for safe and effective medical artificial intelligence solutions. 1353-1355 - Aviv Shachak:
Social informatics is a poor choice of term: A response to Pantell et al. 1356-1357 - Matthew S. Pantell, Julia Adler-Milstein, Michael D. Wang, Aric A. Prather, Nancy E. Adler, Laura M. Gottlieb:
A reply to Shachak. 1358-1359
Volume 28, Number 7, July 2021
- Suzanne Bakken:
Biomedical and health informatics continue to contribute to COVID-19 pandemic solutions and beyond. 1361-1362 - Brian E. Dixon, Shaun J. Grannis, Connor McAndrews, Andrea A. Broyles, Waldo Mikels-Carrasco, Ashley Wiensch, Jennifer L. Williams, Umberto Tachinardi, Peter J. Embí:
Leveraging data visualization and a statewide health information exchange to support COVID-19 surveillance and response: Application of public health informatics. 1363-1373 - Arash Barfar, Balaji Padmanabhan:
Pattern discovery, validation, and online experiments: a methodology for discovering television shows for public health announcements. 1374-1382 - Edward R. Melnick, Shawn Y. Ong, Allan Fong, Vimig Socrates, Raj M. Ratwani, Bidisha Nath, Michael Simonov, Anup Salgia, Brian Williams, Daniel Marchalik, Richard Goldstein, Christine A. Sinsky:
Characterizing physician EHR use with vendor derived data: a feasibility study and cross-sectional analysis. 1383-1392 - Jingcheng Du, Yang Xiang, Madhuri Sankaranarayanapillai, Meng Zhang, Jingqi Wang, Yuqi Si, Huy Anh Pham, Hua Xu, Yong Chen, Cui Tao:
Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning. 1393-1400 - Jeritt G. Thayer, Daria F. Ferro, Jeffrey M. Miller, Dean Karavite, Robert W. Grundmeier, Levon Utidjian, Joseph J. Zorc:
Human-centered development of an electronic health record-embedded, interactive information visualization in the emergency department using fast healthcare interoperability resources. 1401-1410 - Jeffrey G. Klann, Hossein Estiri, Griffin M. Weber, Bertrand Moal, Paul Avillach, Chuan Hong, Amelia L. M. Tan, Brett K. Beaulieu-Jones, Victor M. Castro, Thomas Maulhardt, Alon Geva, Alberto Malovini, Andrew M. South, Shyam Visweswaran, Michele Morris, Malarkodi J. Samayamuthu, Gilbert S. Omenn, Kee Yuan Ngiam, Kenneth D. Mandl, Martin Boeker, Karen L. Olson, Danielle L. Mowery, Robert W. Follett, David A. Hanauer, Riccardo Bellazzi, Jason H. Moore, Ne-Hooi Will Loh, Douglas S. Bell, Kavishwar B. Wagholikar, Luca Chiovato, Valentina Tibollo, Siegbert Rieg, Anthony L. L. J. Li, Vianney Jouhet, Emily Schriver, Zongqi Xia, Meghan Hutch, Yuan Luo, Isaac S. Kohane, Gabriel A. Brat, Shawn N. Murphy:
Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. 1411-1420 - Patrick Wu, Scott D. Nelson, Juan Zhao, Cosby A. Stone Jr., QiPing Feng, Qingxia Chen, Eric A. Larson, Bingshan Li, Nancy J. Cox, C. Michael Stein, Elizabeth Phillips, Dan M. Roden, Joshua C. Denny, Wei-Qi Wei:
DDIWAS: High-throughput electronic health record-based screening of drug-drug interactions. 1421-1430 - Robin Williams, Aziz Sheikh, Bryony Dean Franklin, Marta Krasuska, Hung The Nguyen, Susan Hinder, Wendy Lane, Hajar Mozaffar, Kathy Mason, Sally Eason, Henry W. W. Potts, Kathrin M. Cresswell:
Using Blueprints to promote interorganizational knowledge transfer in digital health initiatives - a qualitative exploration of a national change program in English hospitals. 1431-1439 - Wenjun He, Katie G. Kirchoff, Royce R. Sampson, Kimberly K. McGhee, Andrew M. Cates, Jihad S. Obeid, Leslie A. Lenert:
Research Integrated Network of Systems (RINS): a virtual data warehouse for the acceleration of translational research. 1440-1450 - Nate C. Apathy, Joshua R. Vest, Julia Adler-Milstein, Justin Blackburn, Brian E. Dixon, Christopher A. Harle:
Practice and market factors associated with provider volume of health information exchange. 1451-1460 - Olga Kostopoulou, Christopher Tracey, Brendan C. Delaney:
Can decision support combat incompleteness and bias in routine primary care data? 1461-1467 - Alison Callahan, Vladimir Polony, José D. Posada, Juan M. Banda, Saurabh Gombar, Nigam H. Shah:
ACE: the Advanced Cohort Engine for searching longitudinal patient records. 1468-1479 - Victor Alfonso Rodriguez, Shreyas Bhave, Ruijun Chen, Chao Pang, George Hripcsak, Soumitra Sengupta, Noemie Elhadad, Robert A. Green, Jason S. Adelman, Katherine Schlosser Metitiri, Pierre Elias, Holden Groves, Sumit Mohan, Karthik Natarajan, Adler J. Perotte:
Development and validation of prediction models for mechanical ventilation, renal replacement therapy, and readmission in COVID-19 patients. 1480-1488 - Byungkon Kang, Jisang Yoon, Ha Young Kim, Sung Jin Jo, Yourim Lee, Hye Jin Kam:
Deep-learning-based automated terminology mapping in OMOP-CDM. 1489-1496 - Ramit Sawhney, Harshit Joshi, Saumya Gandhi, Di Jin, Rajiv Ratn Shah:
Robust suicide risk assessment on social media via deep adversarial learning. 1497-1506 - Teresa B. Gibson, Michael D. Nguyen, Timothy Burrell, Frank Yoon, Jenna Wong, Sai Dharmarajan, Rita Ouellet-Hellstrom, Wei Hua, Yong Ma, Elande Baro, Sarah Bloemers, Cory Pack, Adee Kennedy, Sengwee Toh, Robert Ball:
Electronic phenotyping of health outcomes of interest using a linked claims-electronic health record database: Findings from a machine learning pilot project. 1507-1517 - Jacqueline Vaughn, Donruedee Kamkhoad, Ryan J. Shaw, Sharron L. Docherty, Arvind P. Subramaniam, Nirmish Shah:
Seriously ill pediatric patient, parent, and clinician perspectives on visualizing symptom data. 1518-1525 - Taylor L. Watterson, Jamie A. Stone, Roger Brown, Ka Z. Xiong, Anthony Schiefelbein, Edmond Ramly, Peter C. Kleinschmidt, Michael G. Semanik, Lauren Craddock, Samantha I. Pitts, Taylor Woodroof, Michelle A. Chui:
CancelRx: a health IT tool to reduce medication discrepancies in the outpatient setting. 1526-1533 - John D. D'Amore, Laura McCrary, Jody Denson, Chun Li, Christopher J. Vitale, Priyaranjan Tokachichu, Dean F. Sittig, Allison B. McCoy, Adam Wright:
Clinical data sharing improves quality measurement and patient safety. 1534-1542 - Claire N. Umstead, Kim M. Unertl, Nancy M. Lorenzi, Laurie Lovett Novak:
Enabling adoption and use of new health information technology during implementation: Roles and strategies for internal and external support personnel. 1543-1547 - Francesco Mercaldo, Antonella Santone:
Transfer learning for mobile real-time face mask detection and localization. 1548-1554 - Stephen Malden, Catherine Heeney, David W. Bates, Aziz Sheikh:
Utilizing health information technology in the treatment and management of patients during the COVID-19 pandemic: Lessons from international case study sites. 1555-1563 - Lu He, Changyang He, Tera L. Reynolds, Qiushi Bai, Yicong Huang, Chen Li, Kai Zheng, Yunan Chen:
Why do people oppose mask wearing? A comprehensive analysis of U.S. tweets during the COVID-19 pandemic. 1564-1573 - Dhruv Khullar, Lawrence P. Casalino, Yuting Qian, Yuan Lu, Enoch Chang, Sanjay Aneja:
Public vs physician views of liability for artificial intelligence in health care. 1574-1577 - Rachel Ramoni, Molly Klote, Sumitra Muralidhar, Cynthia Brandt, Maya A. Bernstein, Benjamin H. McMahon, Daniel A. Jacobson, Amy C. Justice:
COVID-19 Insights Partnership: Leveraging big data from the Department of Veterans Affairs and supercomputers at the Department of Energy under the public health authority. 1578-1581 - Joachim Roski, Ezekiel J. Maier, Kevin Vigilante, Elizabeth A. Kane, Michael E. Matheny:
Enhancing trust in AI through industry self-governance. 1582-1590 - Siaw-Teng Liaw, Jason Guan Nan Guo, Sameera Ansari, Jitendra Jonnagaddala, Myron Anthony Godinho, Alder Jose Borelli, Simon de Lusignan, Daniel Capurro, Harshana Liyanage, Navreet Bhattal, Vicki Bennett, Jaclyn Chan, Michael G. Kahn:
Quality assessment of real-world data repositories across the data life cycle: A literature review. 1591-1599 - Tina Hernandez-Boussard, Matthew P. Lungren, Nigam Shah:
Corrigendum: Conflicting information from the Food and Drug Administration: Missed opportunity to lead standards for safe and effective medical artificial intelligence solutions. 1600 - Nate C. Apathy, Joshua R. Vest, Julia Adler-Milstein, Justin Blackburn, Brian E. Dixon, Christopher A. Harle:
Corrigendum to: Practice and market factors associated with provider volume of health information exchange. 1601
Volume 28, Number 8, July 2021
- Suzanne Bakken:
Patient safety and quality of care: a key focus for clinical informatics. 1603-1604 - Leslie A. Lenert, Andrey V. Ilatovskiy, James Agnew, Patricia Rudisill, Jeff Jacobs, Duncan Weatherston, Kenneth R. Deans Jr.:
Automated production of research data marts from a canonical fast healthcare interoperability resource data repository: applications to COVID-19 research. 1605-1611 - Matthew A. Willis, Leah Brand Hein, Zhaoxian Hu, Rajiv Saran, Marissa Argentina, Jennifer L. Bragg-Gresham, Sarah L. Krein, Brenda W. Gillespie, Kai Zheng, Tiffany C. Veinot:
Feeling better on hemodialysis: user-centered design requirements for promoting patient involvement in the prevention of treatment complications. 1612-1631 - Edward R. Melnick, Colin P. West, Bidisha Nath, Pamela F. Cipriano, Cheryl Peterson, Daniel V. Satele, Tait D. Shanafelt, Liselotte N. Dyrbye:
The association between perceived electronic health record usability and professional burnout among US nurses. 1632-1641 - Oisin Fitzgerald, Óscar Pérez Concha, Blanca Gallego, Manoj K. Saxena, Lachlan Rudd, Alejandro Metke-Jimenez, Louisa Jorm:
Incorporating real-world evidence into the development of patient blood glucose prediction algorithms for the ICU. 1642-1650 - Vasiliki Kougia, John Pavlopoulos, Panagiotis Papapetrou, Max Gordon:
RTEX: A novel framework for ranking, tagging, and explanatory diagnostic captioning of radiography exams. 1651-1659 - Kexin Huang, Tamryn F. Gray, Santiago Romero-Brufau, James A. Tulsky, Charlotta Lindvall:
Using nursing notes to improve clinical outcome prediction in intensive care patients: A retrospective cohort study. 1660-1666 - Yunfeng Shi, Alejandro Amill-Rosario, Robert S. Rudin, Shira H. Fischer, Paul Shekelle, Dennis P. Scanlon, Cheryl L. Damberg:
Barriers to using clinical decision support in ambulatory care: Do clinics in health systems fare better? 1667-1675 - Genna R. Cohen, Jessica Boi, Christian Johnson, Llew Brown, Vaishali Patel:
Measuring time clinicians spend using EHRs in the inpatient setting: a national, mixed-methods study. 1676-1682 - Xinyu Dong, Jianyuan Deng, Sina Rashidian, Kayley Abell-Hart, Wei Hou, Richard N. Rosenthal, Mary M. Saltz, Joel H. Saltz, Fusheng Wang:
Identifying risk of opioid use disorder for patients taking opioid medications with deep learning. 1683-1693 - Josephine Yates, Alba Gutiérrez-Sacristán, Vianney Jouhet, Kimberly Leblanc, Cecilia Esteves, Thomas N. Desain, Nick Benik, Jason Stedman, Nathan P. Palmer, Guillaume Mellon, Isaac S. Kohane, Paul Avillach:
Finding commonalities in rare diseases through the undiagnosed diseases network. 1694-1702 - Tian Kang, Ali Turfah, Jaehyun Kim, Adler J. Perotte, Chunhua Weng:
A neuro-symbolic method for understanding free-text medical evidence. 1703-1711 - Sophie-Camille Hogue, Flora Chen, Geneviève Brassard, Denis Lebel, Jean-François Bussières, Audrey Durand, Maxime Thibault:
Pharmacists' perceptions of a machine learning model for the identification of atypical medication orders. 1712-1718 - Matthew Chun, Robert Clarke, Benjamin J. Cairns, David A. Clifton, Derrick Bennett, Yiping Chen, Yu Guo, Pei Pei, Jun Lv, Canqing Yu, Ling Yang, Liming Li, Zhengming Chen, Tingting Zhu:
Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults. 1719-1727 - Emily Franzosa, Morgan Traylor, Kimberly M. Judon, Vivian Guerrero Aquino, Ashley L. Schwartzkopf, Kenneth S. Boockvar, Brian E. Dixon:
Perceptions of event notification following discharge to improve geriatric care: qualitative interviews of care team members from a 2-site cluster randomized trial. 1728-1735 - Yuval Barak-Corren, Isha Agarwal, Kenneth A. Michelson, Todd W. Lyons, Mark I Neuman, Susan C. Lipsett, Amir A. Kimia, Matthew A. Eisenberg, Andrew J. Capraro, Jason A. Levy, Joel D. Hudgins, Ben Y. Reis, Andrew M. Fine:
Prediction of patient disposition: comparison of computer and human approaches and a proposed synthesis. 1736-1745 - Theodoros V. Giannouchos, Alva O. Ferdinand, Gurudev Ilangovan, Eric D. Ragan, William Benjamin Nowell, Hye-Chung Kum, Cason D. Schmit:
Identifying and prioritizing benefits and risks of using privacy-enhancing software through participatory design: a nominal group technique study with patients living with chronic conditions. 1746-1755 - Jiaxing Liu, Zoie Shui-Yee Wong, Hing-Yu So, Kwok Leung Tsui:
Evaluating resampling methods and structured features to improve fall incident report identification by the severity level. 1756-1764 - Jihoon Kim, Larissa Neumann, Paulina Paul, Michele E. Day, Michael Aratow, Douglas S. Bell, Jason N. Doctor, Ludwig Christian G. Hinske, Xiaoqian Jiang, Katherine K. Kim, Michael E. Matheny, Daniella Meeker, Mark J. Pletcher, Lisa M. Schilling, Spencer L. SooHoo, Hua Xu, Kai Zheng, Lucila Ohno-Machado:
Privacy-protecting, reliable response data discovery using COVID-19 patient observations. 1765-1776 - Gang Liu, Jukka-Pekka Onnela:
Bidirectional imputation of spatial GPS trajectories with missingness using sparse online Gaussian Process. 1777-1784 - Mark Connolly, Mary Kate Selling, Scott Cook, James S. Williams, Marshall H. Chin, Craig A. Umscheid:
Development, implementation, and use of an "equity lens" integrated into an institutional quality scorecard. 1785-1790 - Chiedozie Udeh, Christina Canfield, Isaac Briskin, Aaron C. Hamilton:
Association between limiting the number of open records in a tele-critical care setting and retract-reorder errors. 1791-1795 - Howard R. Strasberg, Bryn Rhodes, Guilherme Del Fiol, Robert A. Jenders, Peter J. Haug, Kensaku Kawamoto:
Contemporary clinical decision support standards using Health Level Seven International Fast Healthcare Interoperability Resources. 1796-1806 - Leslie A. Lenert, Wei Ding, Jeff Jacobs:
Informatics for public health and health system collaboration: Applications for the control of the current COVID-19 pandemic and the next one. 1807-1811
Volume 28, Number 9, August 2021
- Suzanne Bakken:
Replication studies and diversity, equity, and inclusion strategies are critical to advance the impact of biomedical and health informatics. 1813-1814 - Enrico W. Coiera, Huong Ly Tong:
Replication studies in the clinical decision support literature-frequency, fidelity, and impact. 1815-1825 - Eugene Y. Kim, Anne V. Grossestreuer, Charles Safran, Larry A. Nathanson, Steven Horng:
A visual representation of microbiological culture data improves comprehension: a randomized controlled trial. 1826-1833 - Joao Francisco B. S. Martins, Erickson R. Nascimento, Bruno Ramos Nascimento, Craig A. Sable, Andrea Z. Beaton, Antônio L. P. Ribeiro, Wagner Meira Jr., Gisele L. Pappa:
Towards automatic diagnosis of rheumatic heart disease on echocardiographic exams through video-based deep learning. 1834-1842 - Martin Chieng Were, Wu Gong, Priscillah Balirwa, Bonny Enock Balugaba, Ada Yeung, Leslie Pierce, Donna Ingles, Young Kim, Hyeon Jeong Lee, Bryan E. Shepherd:
Comparative analysis of competency coverage within accredited master's in health informatics programs in the East African region. 1843-1848 - Pamela J. Surkan, Lisa B. Puglisi, Karim Butler, Nika Elmi, Wayne W. Zachary:
A roadmap for cardiovascular care after release from incarceration: uses of a smartphone application. 1849-1857 - Laurie L. Novak, Joyce W. Harris, Taneya Y. Koonce, Kevin B. Johnson:
Design thinking in applied informatics: what can we learn from Project HealthDesign? 1858-1865 - Yuriy Pylypchuk, Wesley Barker, William Encinosa, Talisha Searcy:
Impact of the 2015 Health Information Technology Certification Edition on Interoperability among Hospitals. 1866-1873 - Peter J. Schüffler, Luke Geneslaw, Dig Vijay Kumar Yarlagadda, Matthew G. Hanna, Jennifer Samboy, Evangelos Stamelos, Chad M. Vanderbilt, John Philip, Marc-Henri Jean, Lorraine Corsale, Allyne Manzo, Neeraj H. G. Paramasivam, John S. Ziegler, Jianjiong Gao, Juan C. Perin, Young Suk Kim, Umeshkumar K. Bhanot, Michael H. A. Roehrl, Orly Ardon, Sarah Chiang, Dilip D. Giri, Carlie S. Sigel, Lee K. Tan, Melissa Murray, Christina Virgo, Christine England, Yukako Yagi, S. Joseph Sirintrapun, David S. Klimstra, Meera R. Hameed, Victor E. Reuter, Thomas J. Fuchs:
Integrated digital pathology at scale: A solution for clinical diagnostics and cancer research at a large academic medical center. 1874-1884 - Lisiane Pruinelli, Jiaqi Zhou, Bethany Stai, Jesse Schold, Timothy Pruett, Sisi Ma, György J. Simon:
A likelihood-based convolution approach to estimate major health events in longitudinal health records data: an external validation study. 1885-1891 - Yuhao Zhang, Yuhui Zhang, Peng Qi, Christopher D. Manning, Curtis P. Langlotz:
Biomedical and clinical English model packages for the Stanza Python NLP library. 1892-1899 - Amrapali Maitra, Maulik R. Kamdar, Donna M. Zulman, Marie C. Haverfield, Cati Brown-Johnson, Rachel Schwartz, Sonoo Thadaney Israni, Abraham Verghese, Mark A. Musen:
Using ethnographic methods to classify the human experience in medicine: a case study of the presence ontology. 1900-1909 - Lori Uscher-Pines, Jessica Sousa, Ateev Mehrotra, Lee H. Schwamm, Kori S. Zachrison:
Rising to the challenges of the pandemic: Telehealth innovations in U.S. emergency departments. 1910-1918 - Li Zhang, Yong Huang, Jinqing Yang, Wei Lu:
Aggregating large-scale databases for PubMed author name disambiguation. 1919-1927 - Andrea L. Hartzler, Gondy Leroy, Brenda Daurelle, Magali Ochoa, Jeffrey Williamson, Dasha Cohen, Carole H. Stipelman:
Comparison of women and men in biomedical informatics scientific dissemination: retrospective observational case study of the AMIA Annual Symposium: 2017-2020. 1928-1935 - Subhrajit Roy, Diana Mincu, Eric Loreaux, Anne Mottram, Ivan Protsyuk, Natalie Harris, Yuan Xue, Jessica Schrouff, Hugh Montgomery, Alistair Connell, Nenad Tomasev, Alan Karthikesalingam, Martin Seneviratne:
Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing. 1936-1946 - Nate C. Apathy, A Jay Holmgren, Julia Adler-Milstein:
A decade post-HITECH: Critical access hospitals have electronic health records but struggle to keep up with other advanced functions. 1947-1954 - Li-heng Fu, Chris Knaplund, Kenrick Cato, Adler J. Perotte, Min-Jeoung Kang, Patricia C. Dykes, David J. Albers, Sarah Collins Rossetti:
Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events. 1955-1963 - Jingcheng Du, Qing Wang, Jingqi Wang, Prerana Ramesh, Yang Xiang, Xiaoqian Jiang, Cui Tao:
COVID-19 trial graph: a linked graph for COVID-19 clinical trials. 1964-1969 - Oliver J. Bear Don't Walk IV, Tony Y. Sun, Adler J. Perotte, Noémie Elhadad:
Clinically relevant pretraining is all you need. 1970-1976 - Alexander J. Ryu, Santiago Romero-Brufau, Narges Shahraki, Jiawei Zhang, Ray Qian, Thomas C. Kingsley:
Practical development and operationalization of a 12-hour hospital census prediction algorithm. 1977-1981 - Serena O. Blacklow, Sarah Lisker, Madelena Y. Ng, Urmimala Sarkar, Courtney R. Lyles:
Usability, inclusivity, and content evaluation of COVID-19 contact tracing apps in the United States. 1982-1989 - Sarah Alismail, Wallace Chipidza:
Accessibility evaluation of COVID-19 vaccine registration websites across the United States. 1990-1995 - Sharon C. Perelman, Steven Erde, Lynda Torre, Tunaidi Ansari:
Rapid deployment of an algorithm to triage dental emergencies during COVID-19 pandemic. 1996-2001 - Ignacio Perez-Pozuelo, Dimitris Spathis, Jordan Gifford-Moore, Jessica Morley, Josh Cowls:
Digital phenotyping and sensitive health data: Implications for data governance. 2002-2008 - Rupa S. Valdez, Don E. Detmer, Philip E. Bourne, Katherine K. Kim, Robin Austin, Anna McCollister-Slipp, Courtney C. Rogers, Karen C. Waters-Wicks:
Informatics-enabled citizen science to advance health equity. 2009-2012 - Cheryl R. Clark, Yasemin Akdas, Consuelo H. Wilkins, Kyu Rhee, Kevin B. Johnson, David W. Bates, Irene Dankwa-Mullan:
TechQuity is an imperative for health and technology business: Let's work together to achieve it. 2013-2016 - Eun Suk Chang, Javed Mostafa:
The use of SNOMED CT, 2013-2020: a literature review. 2017-2026 - Norina Gasteiger, Dawn Dowding, Syed Mustafa Ali, Ashley Jordan Stephen Scott, Paul Wilson, Sabine N. van der Veer:
Sticky apps, not sticky hands: A systematic review and content synthesis of hand hygiene mobile apps. 2027-2038 - James Scheibner, Joanna Sleigh, Marcello Ienca, Effy Vayena:
Benefits, challenges, and contributors to success for national eHealth systems implementation: a scoping review. 2039-2049 - Yi Guo, Yahan Zhang, Tianchen Lyu, Mattia Prosperi, Fei Wang, Hua Xu, Jiang Bian:
The application of artificial intelligence and data integration in COVID-19 studies: a scoping review. 2050-2067
Volume 28, Number 10, September 2021
- Lukoye Atwoli, Abdullah H. Baqui, Thomas Benfield, Raffaella Bosurgi, Fiona Godlee, Stephen Hancocks, Richard Horton, Laurie Laybourn-Langton, Carlos Augusto Monteiro, Ian Norman, Kirsten Patrick, Nigel Praities, Marcel G. M. Olde Rikkert, Eric J. Rubin, Peush Sahni, Richard Smith, Nick Talley, Sue Turale, Damián Vázquez:
Call for emergency action to limit global temperature increases, restore biodiversity, and protect health. 2069-2071 - Suzanne Bakken:
Climate change, security, privacy, and data sharing: Important areas for advocacy and informatics solutions. 2072-2073 - Gioacchino Tangari, Muhammad Ikram, I Wayan Budi Sentana, Kiran Ijaz, Mohamed Ali Kâafar, Shlomo Berkovsky:
Analyzing security issues of android mobile health and medical applications. 2074-2084 - Sung J. Choi, M. Eric Johnson:
The relationship between cybersecurity ratings and the risk of hospital data breaches. 2085-2092 - Shun Liao, Jamie Kiros, Jiyang Chen, Zhaolei Zhang, Ting Chen:
Improving domain adaptation in de-identification of electronic health records through self-training. 2093-2100 - A Jay Holmgren, Masha Kuznetsova, David C. Classen, David W. Bates:
Assessing hospital electronic health record vendor performance across publicly reported quality measures. 2101-2107 - Andriy Mulyar, Özlem Uzuner, Bridget T. McInnes:
MT-clinical BERT: scaling clinical information extraction with multitask learning. 2108-2115 - Yizhao Ni, Alycia Bachtel, Katie Nause, Sarah Beal:
Automated detection of substance use information from electronic health records for a pediatric population. 2116-2127 - Sabine N. van der Veer, Lisa Riste, Sudeh Cheraghi-Sohi, Denham L. Phipps, Mary P. Tully, Kyle Bozentko, Sarah Atwood, Alex Hubbard, Carl Wiper, Malcolm Oswald, Niels Peek:
Trading off accuracy and explainability in AI decision-making: findings from 2 citizens' juries. 2128-2138 - Anna Ostropolets, Philip Zachariah, Patrick B. Ryan, Ruijun Chen, George Hripcsak:
Data Consult Service: Can we use observational data to address immediate clinical needs? 2139-2146 - Brian Dreyfus, Anuj Chaudhary, Parth Bhardwaj, V. Karthikhaa Shree:
Application of natural language processing techniques to identify off-label drug usage from various online health communities. 2147-2154 - Heeyoung Kwak, Jooyoung Chang, Byeongjin Choe, Sang Min Park, Kyomin Jung:
Interpretable disease prediction using heterogeneous patient records with self-attentive fusion encoder. 2155-2164 - Ekaterina Anderson, Seppo T. Rinne, Jay D. Orlander, Sarah L. Cutrona, Judith L. Strymish, Varsha G. Vimalananda:
Electronic consultations and economies of scale: a qualitative study of clinician perspectives on scaling up e-consult delivery. 2165-2175 - Mark S. Zocchi, Stephanie A. Robinson, Arlene S. Ash, Varsha G. Vimalananda, Hill L. Wolfe, Timothy P. Hogan, Samantha L. Connolly, Maureen T. Stewart, Linda Am, Dane Netherton, Stephanie L. Shimada:
Patient portal engagement and diabetes management among new portal users in the Veterans Health Administration. 2176-2183 - Arjun Magge, Elena Tutubalina, Zulfat Miftahutdinov, Ilseyar Alimova, Anne Dirkson, Suzan Verberne, Davy Weissenbacher, Graciela Gonzalez-Hernandez:
DeepADEMiner: a deep learning pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter. 2184-2192 - Jianfu Li, Yujia Zhou, Xiaoqian Jiang, Karthik Natarajan, Serguei V. S. Pakhomov, Hongfang Liu, Hua Xu:
Are synthetic clinical notes useful for real natural language processing tasks: A case study on clinical entity recognition. 2193-2201 - Viralkumar Vaghani, Li Wei, Umair Mushtaq, Dean F. Sittig, Andrea Bradford, Hardeep Singh:
Validation of an electronic trigger to measure missed diagnosis of stroke in emergency departments. 2202-2211 - Minh Nguyen, Ivana Jankovic, Laurynas Kalesinskas, Michael T. M. Baiocchi, Jonathan H. Chen:
Machine learning for initial insulin estimation in hospitalized patients. 2212-2219 - Deliya B. Wesley, Joseph Blumenthal, Shrenikkumar Shah, Robin Littlejohn, Zoe Pruitt, Ram A. Dixit, Chun-Ju Hsiao, Christine Dymek, Raj M. Ratwani:
A novel application of SMART on FHIR architecture for interoperable and scalable integration of patient-reported outcome data with electronic health records. 2220-2225 - Sepheen C. Byron, Lindsey Roth, Ryan M. Acton, Angela Shen:
Harnessing electronic clinical data to report adult and prenatal immunization quality measures. 2226-2232 - Julie C. Lauffenburger, Cheryl D. Stults, Satish Mudiganti, Xiaowei Yan, Lisa M. Dean-Gilley, Mengdong He, Angela Tong, Michael A. Fischer:
Impact of implementing electronic prior authorization on medication filling in an electronic health record system in a large healthcare system. 2233-2240 - Guoqian Jiang, Sanket S. Dhruva, Jiajing Chen, Wade L. Schulz, Amit A. Doshi, Peter A. Noseworthy, Shumin Zhang, Yue Yu, H. Patrick Young, Eric Brandt, Keondae R. Ervin, Nilay D. Shah, Joseph S. Ross, Paul Coplan, Joseph P. Drozda:
Feasibility of capturing real-world data from health information technology systems at multiple centers to assess cardiac ablation device outcomes: A fit-for-purpose informatics analysis report. 2241-2250 - Clair Blacketer, Frank J. DeFalco, Patrick B. Ryan, Peter R. Rijnbeek:
Increasing trust in real-world evidence through evaluation of observational data quality. 2251-2257 - Birju S. Patel, Ethan Steinberg, Stephen R. Pfohl, Nigam H. Shah:
Learning decision thresholds for risk stratification models from aggregate clinician behavior. 2258-2264 - Rachel C. Sisodia, Jorge Alberto Rodriguez, Thomas D. Sequist:
Digital disparities: lessons learned from a patient reported outcomes program during the COVID-19 pandemic. 2265-2268 - Joseph Ficek, Wei Wang, Henian Chen, Getachew Dagne, Ellen Daley:
Differential privacy in health research: A scoping review. 2269-2276 - Sean P. Mikles, Ashley C. Griffin, Arlene E. Chung:
Health information technology to support cancer survivorship care planning: A systematic review. 2277-2286 - Mengqian Wang, Manhua Wang, Fei Yu, Yue Yang, Jennifer Walker, Javed Mostafa:
A systematic review of automatic text summarization for biomedical literature and EHRs. 2287-2297 - William J. Gordon, Daniel Gottlieb, David A. Kreda, Joshua C. Mandel, Kenneth D. Mandl, Isaac S. Kohane:
Patient-led data sharing for clinical bioinformatics research: USCDI and beyond. 2298-2300 - Yohualli Balderas-Medina Anaya, Giselle D. Hernandez, Stephanie A. Hernandez, David E. Hayes-Bautista:
Meeting them where they are on the web: addressing structural barriers for Latinos in telehealth care. 2301-2305 - John Torous, Sarah Lagan:
To the editor: New approaches toward actionable mobile health evaluation. 2306-2307 - Martin Hensher, Paul Cooper, Sithara Wanni Arachchige Dona, Mary Rose Angeles, Dieu Nguyen, Natalie Heynsbergh, Mary Lou Chatterton, Anna Peeters:
To the Editor: Authors' response to "New approaches towards actionable mobile health evaluation" by John Torous and Sarah Lagan. 2308-2309
Volume 28, Number 11, October 2021
- Suzanne Bakken:
Progress toward contextualized, persuasive, and integrated consumer information technologies for health. 2311-2312 - Jie Na, Nansu Zong, Chen Wang, David E. Midthun, Yuan Luo, Ping Yang, Guoqian Jiang:
Characterizing phenotypic abnormalities associated with high-risk individuals developing lung cancer using electronic health records from the All of Us researcher workbench. 2313-2324 - Lawrence Bai, Madeleine K. D. Scott, Ethan Steinberg, Laurynas Kalesinskas, Aida Habtezion, Nigam H. Shah, Purvesh Khatri:
Computational drug repositioning of atorvastatin for ulcerative colitis. 2325-2335 - Jiannan Yang, Zhongzhi Xu, William Ka Kei Wu, Qian Chu, Qingpeng Zhang:
GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction. 2336-2345 - Susan H. Fenton, Kathy L. Giannangelo, Mary H. Stanfill:
Preliminary study of patient safety and quality use cases for ICD-11 MMS. 2346-2353 - Peter D. Sottile, David J. Albers, Peter E. Dewitt, Seth Russell, J. N. Stroh, David P. Kao, Bonnie Adrian, Matthew E. Levine, Ryan Mooney, Lenny Larchick, Jean S. Kutner, Matthew K. Wynia, Jeffrey J. Glasheen, Tellen D. Bennett:
Real-time electronic health record mortality prediction during the COVID-19 pandemic: a prospective cohort study. 2354-2365 - Ryeyan Taseen, Jean-François Ethier:
Expected clinical utility of automatable prediction models for improving palliative and end-of-life care outcomes: Toward routine decision analysis before implementation. 2366-2378 - Wesley Barker, Christian Johnson:
The ecosystem of apps and software integrated with certified health information technology. 2379-2384 - Tsz Ho Kwan, Ngai Sze Wong, Eng-Kiong Yeoh, Shui Shan Lee:
Mining relationships between transmission clusters from contact tracing data: An application for investigating COVID-19 outbreak. 2385-2392 - Hale M. Thompson, Brihat Sharma, Sameer Bhalla, Randy Boley, Connor McCluskey, Dmitriy Dligach, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar:
Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroups. 2393-2403 - Kin Wah Fung, Julia Xu, Shannon McConnell-Lamptey, Donna Pickett, Olivier Bodenreider:
Feasibility of replacing the ICD-10-CM with the ICD-11 for morbidity coding: A content analysis. 2404-2411 - Chao Yan, Cheng Gao, Ziqi Zhang, Wencong Chen, Bradley A. Malin, Eugene Wesley Ely, Mayur B. Patel, You Chen:
Predicting brain function status changes in critically ill patients via Machine learning. 2412-2422 - Minh Nguyen, Conor K. Corbin, Tiffany Eulalio, Nicolai P. Ostberg, Gautam Machiraju, Ben J. Marafino, Michael Baiocchi, Christian Rose, Jonathan H. Chen:
Developing machine learning models to personalize care levels among emergency room patients for hospital admission. 2423-2432 - Robert S. Rudin, Sofia Perez, Jorge Alberto Rodriguez, Jessica Sousa, Savanna Plombon, Adriana Arcia, Dinah Foer, David W. Bates, Anuj K. Dalal:
User-centered design of a scalable, electronic health record-integrated remote symptom monitoring intervention for patients with asthma and providers in primary care. 2433-2444 - Sehj Kashyap, Keith E. Morse, Birju S. Patel, Nigam H. Shah:
A survey of extant organizational and computational setups for deploying predictive models in health systems. 2445-2450 - Amy W. Shaheen, Eileen Ciesco, Kevin Johnson, Greg Kuhnen, Christopher Paolini, Gary Gartner:
Interactive, on-line visualization tools to measure and drive equity in COVID-19 vaccine administrations. 2451-2455 - Chi Yuan, Patrick B. Ryan, Casey N. Ta, Jae Hyun Kim, Ziran Li, Chunhua Weng:
From clinical trials to clinical practice: How long are drugs tested and then used by patients? 2456-2460 - Lauren Franks, Hao Liu, Mitchell S. V. Elkind, Muredach P. Reilly, Chunhua Weng, Shing M. Lee:
Misalignment between COVID-19 hotspots and clinical trial sites. 2461-2466 - Avishek Choudhury, Onur Asan, Murari M. Choudhury:
Mobile health technology to improve maternal health awareness in tribal populations: mobile for mothers. 2467-2474 - Michelle Schreiber, Deborah Krauss, Bridget Blake, Edna Boone, Rose Almonte:
Balancing value and burden: the Centers for Medicare & Medicaid Services electronic Clinical Quality Measure (eCQM) Strategy Project. 2475-2482 - Na Liu, Jiamin Yin, Sharon Swee-Lin Tan, Kee Yuan Ngiam, Hock-Hai Teo:
Mobile health applications for older adults: a systematic review of interface and persuasive feature design. 2483-2501 - Saba Akbar, David Lyell, Farah Magrabi:
Automation in nursing decision support systems: A systematic review of effects on decision making, care delivery, and patient outcomes. 2502-2513 - Siru Liu, Thomas J. Reese, Kensaku Kawamoto, Guilherme Del Fiol, Charlene R. Weir:
A theory-based meta-regression of factors influencing clinical decision support adoption and implementation. 2514-2522 - Angela K. Shen, Jeremey J. Michel, Aisha T. Langford, Elizabeth A. Sobczyk:
Shared clinical decision-making on vaccines: out of sight, out of mind. 2523-2525 - Jennifer Alford-Teaster, Fahui Wang, Anna N. A. Tosteson, Tracy Onega:
Incorporating broadband durability in measuring geographic access to health care in the era of telehealth: A case example of the 2-step virtual catchment area (2SVCA) Method. 2526-2530 - Chris Grasso, Hilary Goldhammer, Julie Thompson, Alex S. Keuroghlian:
Optimizing gender-affirming medical care through anatomical inventories, clinical decision support, and population health management in electronic health record systems. 2531-2535 - Ran Sun, Douglas W. Blayney, Tina Hernandez-Boussard:
Health management via telemedicine: Learning from the COVID-19 experience. 2536-2540 - Mark P. Sendak, Michael Gao, William Ratliff, Marshall Nichols, Armando Bedoya, Cara O'Brien, Suresh Balu:
Looking for clinician involvement under the wrong lamp post: The need for collaboration measures. 2541-2542 - Jessica M. Schwartz, Amanda J. Moy, Sarah Collins Rossetti, Noémie Elhadad, Kenrick D. Cato:
Response to: Looking for clinician involvement under the wrong lamp post: the need for collaboration measures. 2543-2544 - Jessica M. Schwartz, Amanda J. Moy, Sarah Collins Rossetti, Noémie Elhadad, Kenrick D. Cato:
Corrigendum to: Clinician involvement in research on machine learning-based predictive clinical decision support for the hospital setting: A scoping review. 2545 - Sam Henry, Yanshan Wang, Feichen Shen, Özlem Uzuner:
Corrigendum to: The 2019 National Natural language processing (NLP) Clinical Challenges (n2c2)/Open Health NLP (OHNLP) shared task on clinical concept normalization for clinical records. 2546 - Matthew A. Willis, Zhaoxian Hu, Rajiv Saran, Marissa Argentina, Jennifer L. Bragg-Gresham, Sarah L. Krein, Brenda W. Gillespie, Kai Zheng, Tiffany C. Veinot:
Corrigendum to: Feeling better on hemodialysis: user-centered design requirements for promotingpatient involvement in the prevention of treatmentcomplications. 2547
Volume 28, Number 12, November 2021
- Suzanne Bakken:
Celebrating Randolph A. Miller, MD, 2021 Morris F. Collen Award winner and pioneer in clinical decision support. 2549-2550 - Davy Weissenbacher, Suyu Ge, Ari Z. Klein, Karen O'Connor, Robert Gross, Sean Hennessy, Graciela Gonzalez-Hernandez:
Active neural networks to detect mentions of changes to medication treatment in social media. 2551-2561 - Yair Daon, Amit Huppert, Uri Obolski:
DOPE: D-Optimal Pooling Experimental design with application for SARS-CoV-2 screening. 2562-2570 - Tiantian Zhu, Yang Qin, Yang Xiang, Baotian Hu, Qingcai Chen, Weihua Peng:
Distantly supervised biomedical relation extraction using piecewise attentive convolutional neural network and reinforcement learning. 2571-2581 - Harrison G. Zhang, Boris P. Hejblum, Griffin M. Weber, Nathan P. Palmer, Susanne E. Churchill, Peter Szolovits, Shawn N. Murphy, Katherine P. Liao, Isaac S. Kohane, Tianxi Cai:
ATLAS: an automated association test using probabilistically linked health records with application to genetic studies. 2582-2592 - Brian E. Dixon, Kimberly M. Judon, Ashley L. Schwartzkopf, Vivian M. Guerrero, Nicholas S. Koufacos, Justine May, Cathy C. Schubert, Kenneth S. Boockvar:
Impact of event notification services on timely follow-up and rehospitalization among primary care patients at two Veterans Affairs Medical Centers. 2593-2600 - Megan Lafferty, Molly Harrod, Sarah Krein, Milisa Manojlovich:
It's like sending a message in a bottle: A qualitative study of the consequences of one-way communication technologies in hospitals. 2601-2607 - Michael D. Wang, Matthew S. Pantell, Laura M. Gottlieb, Julia Adler-Milstein:
Documentation and review of social determinants of health data in the EHR: measures and associated insights. 2608-2616 - Aly Khalifa, Clinton C. Mason, Jennifer H. Garvin, Marc S. Williams, Guilherme Del Fiol, Brian R. Jackson, Steven B. Bleyl, Gil Alterovitz, Stanley M. Huff:
Interoperable genetic lab test reports: mapping key data elements to HL7 FHIR specifications and professional reporting guidelines. 2617-2625 - Rachel L. Richesson, Keith A. Marsolo, Brian J. Douthit, Karen L. Staman, P. Michael Ho, Dana L. Dailey, Andrew D. Boyd, Kathleen McTigue, Miriam O. Ezenwa, Judith M. Schlaeger, Crystal L. Patil, Keturah R. Faurot, Leah Tuzzio, Eric B. Larson, Emily C. O'Brien, Christina K. Zigler, Joshua R. Lakin, Alice R. Pressman, Jordan M. Braciszewski, Corita R. Grudzen, Guilherme Del Fiol:
Enhancing the use of EHR systems for pragmatic embedded research: lessons from the NIH Health Care Systems Research Collaboratory. 2626-2640 - Yufang Huang, Yifan Liu, Peter A. D. Steel, Kelly M. Axsom, John R. Lee, Sri Lekha Tummalapalli, Fei Wang, Jyotishman Pathak, Lakshminarayanan Subramanian, Yiye Zhang:
Deep significance clustering: a novel approach for identifying risk-stratified and predictive patient subgroups. 2641-2653 - Evan W. Orenstein, Swaminathan Kandaswamy, Naveen Muthu, Juan D. Chaparro, Philip Hagedorn, Adam C. Dziorny, Adam Moses, Sean Hernandez, Amina Khan, Hannah B. Huth, Jonathan M. Beus, Eric S. Kirkendall:
Alert burden in pediatric hospitals: a cross-sectional analysis of six academic pediatric health systems using novel metrics. 2654-2660 - Kahyun Lee, Nicholas J. Dobbins, Bridget T. McInnes, Meliha Yetisgen, Özlem Uzuner:
Transferability of neural network clinical deidentification systems. 2661-2669 - Xinmeng Zhang, Chao Yan, Bradley A. Malin, Mayur B. Patel, You Chen:
Predicting next-day discharge via electronic health record access logs. 2670-2680 - Rubén Martín Payo, Sergio Carrasco-Santos, Marcelino Cuesta, Stoyan R. Stoyanov, Xana Gonzalez-Mendez, María del Mar Martínez-Ballesteros:
Spanish adaptation and validation of the User Version of the Mobile Application Rating Scale (uMARS). 2681-2686 - Franko Hrzic, Ivana Zuzic, Sebastian Tschauner, Ivan Stajduhar:
Cast suppression in radiographs by generative adversarial networks. 2687-2694 - Tamara Goncalves Rezende Macieira, Yingwei Yao, Gail M. Keenan:
Use of machine learning to transform complex standardized nursing care plan data into meaningful research variables: a palliative care exemplar. 2695-2701 - Maria Michaels, Sameemuddin Syed, William B. Lober:
Blueprint for aligned data exchange for research and public health. 2702-2706 - Dessislava Pachamanova, Wiljeana Glover, Zhi Li, Michael Docktor, Nitin Gujral:
Identifying patterns in administrative tasks through structural topic modeling: A study of task definitions, prevalence, and shifts in a mental health practice's operations during the COVID-19 pandemic. 2707-2715 - Braja Gopal Patra, Mohit M. Sharma, Veer Vekaria, Prakash Adekkanattu, Olga V. Patterson, Benjamin S. Glicksberg, Lauren A. Lepow, Euijung Ryu, Joanna M. Biernacka, Al'ona Furmanchuk, Thomas J. George, William R. Hogan, Yonghui Wu, Xi Yang, Jiang Bian, Myrna Weissman, Priya Wickramaratne, J. John Mann, Mark Olfson, Thomas R. Campion Jr., Mark G. Weiner, Jyotishman Pathak:
Extracting social determinants of health from electronic health records using natural language processing: a systematic review. 2716-2727 - Randolph A. Miller, Edward H. Shortliffe:
The roles of the US National Library of Medicine and Donald A.B. Lindberg in revolutionizing biomedical and health informatics. 2728-2737 - Alex H. Krist, Robert L. Phillips, Luci K. Leykum, Benjamin Olmedo:
Digital health needs for implementing high-quality primary care: recommendations from the National Academies of Sciences, Engineering, and Medicine. 2738-2742 - Jessica S. Ancker, Natalie C. Benda, Madhu C. Reddy, Kim M. Unertl, Tiffany C. Veinot:
Guidance for publishing qualitative research in informatics. 2743-2748 - Ignacio Perez-Pozuelo, Dimitris Spathis, Jordan Gifford-Moore, Jessica Morley, Josh Cowls:
Erratum to: Digital phenotyping and sensitive health data: Implications for data governance. 2749
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