Research to Improve Clinical Care in Family Medicine: Big Data, Telehealth, Artificial Intelligence, and More

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Abstract

This issue highlights changes in medical care delivery since the start of the COVID-19 pandemic and features research to advance the delivery of primary care. Several articles report on the effectiveness of telehealth, including its use for hospital follow-up, medication abortion, management of diabetes, and as a potential tool for reducing health disparities. Other articles detail innovations in clinical practice, from the use of artificial intelligence and machine learning to a validated simple risk score that can support outpatient triage decisions for patients with COVID-19. Notably one article reports the impact of a voluntary program using scribes in a large health system on physician documentation behaviors and performance. One article addresses the wage gap between early-career female and male family physicians. Several articles report on inappropriate testing for common health problems; are you following recommendations for ordering Pulmonary Function Tests, mt-sDNA for colon cancer screening, and HIV testing?

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APA

Bowman, M. A., Seehusen, D. A., Britz, J., & Ledford, C. J. W. (2024). Research to Improve Clinical Care in Family Medicine: Big Data, Telehealth, Artificial Intelligence, and More. Journal of the American Board of Family Medicine, 37(2), 161–164. https://doi.org/10.3122/jabfm.2024.240050R0

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