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2020 – today
- 2022
[j5]Emily R. Pfaff
, Andrew T. Girvin, Davera Gabriel, Kristin Kostka, Michele Morris, Matvey B. Palchuk, Harold P. Lehmann, Benjamin R. C. Amor, Mark Bissell, Katie R. Bradwell, Sigfried Gold, Stephanie S. Hong, Johanna Loomba, Amin Manna, Julie A. McMurry, Emily Niehaus, Nabeel Qureshi, Anita Walden, Xiaohan Tanner Zhang, Richard L. Zhu, Richard A. Moffitt, Christopher G. Chute, William G. Adams, Shaymaa Al-Shukri, Alfred Anzalone, Ahmad Baghal, Tellen D. Bennett, Elmer V. Bernstam, Mark M. Bissell, Brian Bush, Thomas R. Campion Jr., Victor Castro, Jack Chang, Deepa D. Chaudhari, Wenjin Chen, San Chu, James J. Cimino, Keith A. Crandall, Mark Crooks, Sara J. Deakyne Davies, John Dipalazzo, David A. Dorr, Dan Eckrich, Sarah E. Eltinge, Daniel G. Fort, George Golovko, Snehil Gupta, Melissa A. Haendel, Janos G. Hajagos, David A. Hanauer, Brett M. Harnett, Ronald Horswell, Nancy Huang, Steven G. Johnson, Michael Kahn, Kamil Khanipov, Curtis Kieler, Katherine Ruiz De Luzuriaga, Sarah E. Maidlow, Ashley Martinez, Jomol Mathew, James C. McClay, Gabriel McMahan, Brian Melancon, Stéphane M. Meystre, Lucio Miele, Hiroki Morizono, Ray Pablo, Lav P. Patel, Jimmy Phuong, Daniel J. Popham, Claudia P. Pulgarin, Carlos Santos, Indra Neil Sarkar, Nancy Sazo, Soko Setoguchi, Selvin Soby, Sirisha Surampalli, Christine Suver, Uma Maheswara Reddy Vangala, Shyam Visweswaran, James von Oehsen, Kellie M. Walters, Laura K. Wiley, David A. Williams, Adrian H. Zai:
Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative. J. Am. Medical Informatics Assoc. 29(4): 609-618 (2022)- [j4]Jason A. Thomas, Randi E. Foraker, Noa Zamstein, Jon D. Morrow, Philip R. O. Payne, Adam B. Wilcox, Melissa A. Haendel, Christopher G. Chute, Kenneth R. Gersing, Anita Walden, Tellen D. Bennett, David A. Eichmann, Justin Guinney, Warren A. Kibbe, Hongfang Liu, Emily R. Pfaff, Peter N. Robinson, Joel H. Saltz, Heidi Spratt, Justin Starren, Christine Suver, Chunlei Wu, Davera Gabriel, Stephanie S. Hong, Kristin Kostka, Harold P. Lehmann, Richard A. Moffitt, Michele Morris, Matvey B. Palchuk, Xiaohan Tanner Zhang, Richard L. Zhu, Benjamin R. C. Amor, Mark M. Bissell, Marshall Clark, Andrew T. Girvin, Adam M. Lee, Robert T. Miller, Kellie M. Walters, Yooree Chae, Connor Cook, Alexandra Dest, Racquel R. Dietz, Thomas Dillon, Patricia A. Francis, Rafael Fuentes, Alexis Graves, Andrew J. Neumann, Shawn T. O'Neil, Usman Sheikh, Andréa M. Volz, Elizabeth Zampino, Christopher P. Austin, Samuel Bozzette, Mariam Deacy, Nicole Garbarini, Michael G. Kurilla, Sam G. Michael, Joni L. Rutter, Meredith Temple-O'Connor, Katie Rebecca Bradwell, Amin Manna, Nabeel Qureshi, Mary Morrison Saltz, Julie A. McMurry, Carolyn T. Bramante, Jeremy Richard Harper, Wenndy Hernandez, Farrukh M. Koraishy, Federico Mariona, Saidulu Mattapally, Amit Saha, Satyanarayana Vedula, Yujuan Fu, Nisha Mathews, Ofer Mendelevitch:
Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C). J. Am. Medical Informatics Assoc. 29(8): 1350-1365 (2022) - 2021
- [j3]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. J. Am. Medical Informatics Assoc. 28(3): 427-443 (2021) - 2020
- [c11]Bhargav Adagarla, Maryam Y. Garza, Karan R. Kumar, Umit Topaloglu, Anita Walden, Kanecia Zimmerman, Meredith N. Zozus, Eric L. Eisenstein:
Understanding facilitators and barriers to development and adoption of EHR-to-eCRF technology in multi-site clinical research. AMIA 2020 - [c10]Maryam Y. Garza, Michael W. Rutherford, Sahiti Myneni, Susan H. Fenton, Anita Walden, Umit Topaloglu, Eric L. Eisenstein, Karan R. Kumar, Kanecia Zimmerman, Mitra Rocca, Scott Gordon, Sam Hume, Zhan Wang, Meredith N. Zozus:
Evaluating the Coverage of the HL7® FHIR® Standard to Support eSource Data Exchange Implementations for use in Multi-Site Clinical Research Studies. AMIA 2020 - [c9]Melody L. Penning, Colette Blach, Anita Walden, Pei Wang, Katrina M. Donovan, Maryam Y. Garza, Zhan Wang, Julie Frund, Shorabuddin Syed, Mahanazuddin Syed, Guilherme Del Fiol, L. Kristin Newby, Carl F. Pieper, Meredith N. Zozus:
Near Real Time EHR Data Utilization in a Clinical Study. MIE 2020: 337-341
2010 – 2019
- 2019
- [c8]Maryam Y. Garza, Sahiti Myneni, Amy Harris Nordo, Eric L. Eisenstein, W. Ed Hammond, Anita Walden, Meredith N. Zozus:
eSource for Standardized Health Information Exchange in Clinical Research: A Systematic Review. ITCH 2019: 115-124 - [c7]Pei Wang, Daniel L. Pullen, Maryam Y. Garza, Anita Walden, Meredith N. Zozus:
Data Profiling in Support of Entity Resolution of Multi-Institutional EHR Data. ITCH 2019: 479-483 - [c6]Meredith Nahm Zozus, Leslie W. Young, Alan E. Simon, Maryam Y. Garza, Lora Lawrence, Songthip T. Ounpraseuth, Megan Bledsoe, Sarah Newman-Norlund, J. Dean Jarvis, Mary McNally, Kimberly R. Harris, Russell J. McCulloh, Rachel Aikman, Sara Cox, Lacy Malloch, Anita Walden, Jessica Snowden, Irene Mangan Chedjieu, Chester A. Wicker, Lauren Atkins, Lori A. Devlin:
Training as an Intervention to Decrease Medical Record Abstraction Errors Multicenter Studies. ITCH 2019: 526-539 - 2017
- [c5]Meredith N. Zozus, Anita Walden, Marcia Byers, Thomas Powell, Pei Wang, Maryam Y. Garza, Guilherme Del Fiol, Jessica D. Tenenbaum, Matthew Nix, Carl F. Pieper:
Assessing the Quality of Electronic Health Record Data and Patient Self-Report Data. ICIQ 2017 - 2016
- [j2]Maryam Y. Garza, Guilherme Del Fiol, Jessica D. Tenenbaum, Anita Walden, Meredith Nahm:
Evaluating common data models for use with a longitudinal community registry. J. Biomed. Informatics 64: 333-341 (2016) - [c4]Meredith Nahm Zozus, Rachel L. Richesson, Anita Walden, Jessica D. Tenenbaum, William Edward Hammond:
Research Reproducibility in Longitudinal Multi-Center Studies Using Data from Electronic Health Records. CRI 2016 - 2013
- [c3]Jessica D. Tenenbaum, Colette Blach, Guilherme Del Fiol, Chandel Dundee, Julie Frund, Michelle Smerek, Anita Walden, Rachel L. Richesson:
Use of RxNorm and NDF-RT to Normalize and Characterize Participant-reported Medications in a Research Repository: Pbstacles and Achievements. AMIA 2013 - 2012
- [c2]Michelle Smerek, Anita Walden, Julie Frund, Andrew Waters, Christopher Franklin, Guilherme Del Fiol:
Development of a Multifunctional System to Facilitate Recruitment into a Community-Based Registry and Biorepository. AMIA 2012 - 2011
- [c1]Anita Walden, Meredith Nahm, M. Edwina Barnett, Jose G. Conde, Andrew Dent, Ahmed Fadiel, Theresa Perry, Chris Tolk, James E. Tcheng, Eric L. Eisenstein:
Economic Analysis of Centralized vs. Decentralized Electronic Data Capture in Multi-Center Clinical Studies. ITCH 2011: 82-88 - 2010
- [j1]Meredith Nahm, Anita Walden, Brian McCourt, Karen Pieper, Emily F. Honeycutt, Carol D. Hamilton, Robert A. Harrington, Jane Diefenbach, Bron Kisler, Mead Walker, W. Ed Hammond:
Standardising clinical data elements. Int. J. Funct. Informatics Pers. Medicine 3(4): 314-341 (2010)
Coauthor Index
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last updated on 2024-10-07 22:09 CEST by the dblp team
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