Marcelina Dutkiewicz’s Post

Remote patient monitoring in #cancer trials : we can expect a more broader use for a better #patient experience and a better access equity to trials in the coming years #clinicalresearch #decentralizedtrials

Remote monitoring and data collection are pivotal for decentralized clinical trials (DCTs): - Enhancing Trial Accessibility and Participation: Remote monitoring and data collection eliminate geographical barriers, enabling more patients to participate in clinical trials, especially those who cannot easily access trial centers. This helps expand the sample size, improve data representativeness, and enhance the reliability of trial results. - Reducing Trial Costs and Time: Decentralized clinical trials typically reduce time and cost burdens for both researchers and patients, as patients do not need to frequently visit trial centers. This also reduces the need for physical trial facilities, thus lowering the overall cost of trials. - Improving Real-time and Accurate Data: Remote monitoring and data collection enable real-time collection of patient physiological parameters, symptoms, and treatment responses, providing researchers with more timely and accurate information. This helps in early detection of patient condition changes, thereby improving trial monitoring and management efficiency. - Protecting Patient Privacy and Data Security: Remote monitoring and data collection must strictly adhere to data privacy and security standards to protect patients' personal information and data security. Researchers need to take necessary measures to ensure the security and confidentiality of data to mitigate the risk of data breaches or misuse. - Facing Challenges and Limitations: Such as the requirements for technical devices, patient acceptance of digital technology, data collection consistency, and standardization. Additionally, for certain diseases or specific populations, remote monitoring may not fully replace traditional clinical observation and examination.

The Montefiore Cancer Center in The Bronx, NY studied the effectiveness of the MyEleanor app, an AI-based virtual patient navigator, as part of a colorectal cancer screening quality improvement (QI) project. The study explored how AI-driven applications, such as the MyEleanor app, could potentially serve as a complement to a stretched healthcare workforce. The findings of the study showed the potential for AI-driven healthcare applications to provide valuable support within the healthcare sector. The authors conclude that the integration of technology and healthcare, as evidenced by the promising results of the study, presents an opportunity to address critical healthcare needs and improve patient outcomes. The significance of the intersection of technology and healthcare is huge. I think that the study makes a good argument for an EB-2 NIW petition for a computer science professional working on merging technology and healthcare. For more details, you can access the abstract here: https://lnkd.in/eKkSgmY7 #HealthcareResearch #AIinMedicine #NationalInterest #HealthTech

Lung cancer poses a major challenge that involves multiple approaches for early identification, personalized treatment, and continuous research. To defeat this tough opponent, we must work together, combining gentle care with medical advancements to achieve better results. The fight against lung cancer is becoming more intense, and data analytics is taking the forefront because it provides a multitude of information that goes beyond the diagnosis and treatment process. Lung cancer care is changing as a result of the collaboration between data-driven discoveries and healthcare, which provides accuracy and hope at every stage of the procedure. 𝐑𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐢𝐳𝐢𝐧𝐠 𝐋𝐮𝐧𝐠 𝐂𝐚𝐧𝐜𝐞𝐫 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: 𝐃𝐚𝐭𝐚-𝐃𝐫𝐢𝐯𝐞𝐧 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐢𝐧𝐠 𝐃𝐢𝐚𝐠𝐧𝐨𝐬𝐢𝐬 𝐚𝐧𝐝 𝐓𝐫𝐞𝐚𝐭𝐦𝐞𝐧𝐭 𝐏𝐢𝐨𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐄𝐚𝐫𝐥𝐲 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧: Data analytics transforms lung cancer diagnosis by interpreting subtle patterns in medical imaging, guaranteeing the early detection of abnormalities that may indicate the existence of tumors. 𝐆𝐞𝐧𝐨𝐦𝐢𝐜 𝐏𝐫𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐆𝐮𝐢𝐝𝐞𝐬 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐞𝐝 𝐓𝐫𝐞𝐚𝐭𝐦𝐞𝐧𝐭𝐬: By examining the genetic terrain, data analytics offers a therapy plan that takes into account each patient's distinct genetic profile while dealing with lung cancer. 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐧𝐠 𝐓𝐫𝐞𝐚𝐭𝐦𝐞𝐧𝐭 𝐎𝐮𝐭𝐜𝐨𝐦𝐞𝐬 𝐰𝐢𝐭𝐡 𝐆𝐫𝐞𝐚𝐭 𝐏𝐫𝐞𝐜𝐢𝐬𝐢𝐨𝐧: Analytics builds predictive models by utilizing past data, enabling medical professionals to anticipate and modify treatment for the best possible outcomes for patients with lung cancer. 𝐂𝐨𝐦𝐩𝐫𝐞𝐡𝐞𝐧𝐬𝐢𝐯𝐞 𝐑𝐢𝐬𝐤 𝐄𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐑𝐚𝐩𝐢𝐝 𝐈𝐧𝐭𝐞𝐫𝐯𝐞𝐧𝐭𝐢𝐨𝐧: By analyzing patient data, data analytics generates a stratified risk assessment that enables early and personalized interventions, leading to better predictions and more efficient solutions to lung cancer challenges. 𝐄𝐱𝐭𝐞𝐧𝐬𝐢𝐯𝐞 𝐏𝐫𝐨𝐟𝐢𝐥𝐞𝐬 𝐀𝐬𝐬𝐢𝐬𝐭𝐢𝐧𝐠 𝐒𝐞𝐧𝐬𝐢𝐛𝐥𝐞 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬: Data analytics provides oncologists with comprehensive profiles by seamlessly combining clinical and patient records. This information serves as a guide for informed decision-making in the complex field of lung cancer diagnosis and treatment. Data analytics provides light on the route to personalized and efficient care in the fight against lung cancer. The facts revealed are more than just data collection; they are a source of optimism, advancement, and a revitalized sense of empowerment for people struggling with the complexities of lung cancer. #dataanalytics #dataanalysis #transformation #healthcareindustry #lungcancerawareness #diagnosis #solutions #technology #trends #intelliquity

When a patient receives a cancer diagnosis, their journey ahead is filled with the unknown. From treatments to countless appointments, every day is consumed by their diagnosis, and the added stress of financial uncertainty should not also weigh on their shoulders. Patient navigation programs effectively enhance equal access to care, diminish financial toxicity, and improve health and quality of life outcomes. However, resource constraints can hinder the widespread use of these programs. Digital solutions can help, but health systems must grapple with return on investment questions as they think about scaling the implementation of patient navigation programs. To address this, CancerX is launching new, free resources, including an ROI calculator and patient navigation blueprint, that will support health systems and patient navigators in developing a business case and digital patient navigation programming strategy – and, thereby, improve access, cost, and health outcomes for more cancer patients. 🗓 Join CancerX and other leaders on Tues., Aug. 27, at 11 a.m. ET to hear more about new resources and how you can use them to advance equity and reduce financial toxicity in cancer. 🔗 Register here: https://bit.ly/4cuJq3L University of Utah Cancer Support Community Florida Cancer Specialists & Research Institute Epic University of North Carolina System Oracle

The transformative role of digital health innovations in cancer care is a hot topic at #ASCO24 in Chicago, one of the most significant gatherings of oncologists worldwide. Even as 5-year cancer survival rates have increased, the rates of more than a dozen cancers are rapidly rising around the world among adults under age 50. Models based on global data predict the number of early-onset cancer cases will increase by 30% by 2030. In the U.S., colorectal cancer has become the leading cause of cancer death among men under 50. It’s the second leading cause of cancer death in young women. #Digitalhealth solutions can play a significant role in cancer care, earlier detection, and more effective prevention. 🧬 #AI-driven diagnostics can facilitate earlier and more accurate detection 🧬 #Telemedicine platforms can bridge distance gaps to secure more timely consultations 🧬 #Quantum technologies can accelerate drug discovery and the development of personalized drug treatment plans 🧬 #Bigdata analytics can shape and sharpen treatment plans (a big discussion point at ASCO), supported by a steady flow of data from wearables and remote patient monitoring technologies 🧬 #Mobileapps for mental health support can be tailored to support cancer patients (a lot of energy around this as an under-discussed and under-served component of cancer care) As our Ascent Strategy Group team makes the rounds, presents our new tools, and establishes new collaborations, we’ve been lifted by the passion among attendees to serve patients. That passion is palpable, powerful and inspirational. #oncology #oncologists #cancercare

Veris Health receives $1.8M NIH grant for cancer care - MobiHealthNews Veris Health Receives $1.8M NIH Grant for Cancer Care #NIHGrant Veris Health, a leading healthcare IT company, has been awarded a $1.8 million grant from the National Institutes of Health (NIH) to enhance cancer care services. #ResearchInitiative The grant will support a research initiative aimed at improving cancer care delivery through the development of innovative IT solutions. #PatientOutcomes Veris Health's project focuses on enhancing patient outcomes by leveraging technology to streamline care coordination and improve communication among healthcare providers. #DataAnalytics The company plans to utilize advanced data analytics to identify trends and patterns in cancer care delivery, ultimately leading to more personalized and effective treatment plans. #Interoperability Ver ai.mediformatica.com #cancer #health #cancercare #grant #platform #medical #technology #patients #research #diagnostics #digital #digitalhealth #healthit #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/3Yq5Y1z)

Breast cancer, defined as the uncontrolled expansion of cells in the breast, is an international health challenge. The goal of ongoing research and development is to improve the quality of life and results for those affected. Data analytics is an effective tool in the fight against breast cancer diagnosis, complementing conventional techniques and having a significant impact on the diagnostic procedure. These are the main ways that data analytics helps in early detection and efficient treatment of breast cancer. 𝐄𝐦𝐩𝐨𝐰𝐞𝐫𝐢𝐧𝐠 𝐁𝐫𝐞𝐚𝐬𝐭 𝐂𝐚𝐧𝐜𝐞𝐫 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧- 𝐓𝐡𝐞 𝐑𝐨𝐥𝐞 𝐨𝐟 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐢𝐧 𝐄𝐚𝐫𝐥𝐲 𝐃𝐢𝐚𝐠𝐧𝐨𝐬𝐢𝐬 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐈𝐦𝐚𝐠𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: Data analytics elevates the interpretation of mammograms, enabling a more detailed analysis of breast imaging studies and aiding in the early detection of potential cancerous abnormalities. 𝐓𝐚𝐢𝐥𝐨𝐫𝐞𝐝 𝐑𝐢𝐬𝐤 𝐏𝐫𝐨𝐟𝐢𝐥𝐢𝐧𝐠: Leveraging patient data, data analytics develops sophisticated risk prediction models, facilitating the identification of individuals with an elevated risk of developing breast cancer. This personalized approach allows for targeted preventive measures and screening strategies. 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐟𝐫𝐨𝐦 𝐆𝐞𝐧𝐞𝐭𝐢𝐜 𝐃𝐚𝐭𝐚: Data analytics scrutinizes genomic information to identify specific biomarkers associated with breast cancer, providing valuable insights into the genetic factors influencing susceptibility and aiding in early diagnosis. 𝐀𝐮𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐑𝐚𝐝𝐢𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐈𝐧𝐭𝐞𝐫𝐩𝐫𝐞𝐭𝐚𝐭𝐢𝐨𝐧: Integrated diagnostic support systems, powered by data analytics, offer additional insights to radiologists during the interpretation of breast imaging studies. This augmentation enhances diagnostic accuracy and contributes to more informed decision-making. 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐞𝐝 𝐓𝐫𝐞𝐚𝐭𝐦𝐞𝐧𝐭 𝐏𝐥𝐚𝐧𝐧𝐢𝐧𝐠: Data analytics assists healthcare professionals in crafting personalized treatment plans by analyzing patient data. This ensures that individuals diagnosed with breast cancer receive tailored and effective interventions. 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐎𝐮𝐭𝐜𝐨𝐦𝐞 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧: Data analytics contributes to ongoing patient monitoring by analyzing data over time, predicting treatment outcomes, and supporting healthcare providers in making informed decisions regarding post-diagnosis management and follow-up care. In essence, the integration of data analytics into breast cancer detection not only enhances early diagnosis but also facilitates a more individualized and comprehensive approach to patient care, promising improved outcomes and an elevated standard of breast cancer management. #breastcancer #diagnosis #breastcancerawareness #dataanalytics #dataanalysis #healthcare #industry #solutions #trending #intelliquity

COTA and Texas Oncology’s Precision Health Informatics, LLC collaborate to use #AI in transforming healthcare data into actionable insights, enhancing #precisionmedicine and #cancer care. Read at The Evidence Base® #rwe #rwd #realworldevidence #realworlddata #healthdata #electronichealthrecords #EHRs #oncology #artificialintelligence

When a patient receives a cancer diagnosis, their journey ahead is filled with the unknown. From treatments to countless appointments, every day is consumed by their diagnosis, and the added stress of financial uncertainty should not also weigh on their shoulders. Patient navigation programs effectively enhance equal access to care, diminish financial toxicity, and improve health and quality of life outcomes. However, resource constraints can hinder the widespread use of these programs. Digital solutions can help, but health systems must grapple with return on investment questions as they think about scaling the implementation of patient navigation programs. To address this, CancerX is launching new, free resources, including an ROI calculator and patient navigation blueprint, that will support health systems and patient navigators in developing a business case and digital patient navigation programming strategy – and, thereby, improve access, cost, and health outcomes for more cancer patients. 🗓 Join CancerX and other leaders on Tues., Aug. 27, at 11 a.m. ET to hear more about new resources and how you can use them to advance equity and reduce financial toxicity in cancer. 🔗 Register here: https://bit.ly/4cuJq3L The White House University of Utah Cancer Support Community Florida Cancer Specialists & Research Institute Epic University of North Carolina System Oracle