Research to Improve Clinical Care in Family Medicine: Big Data, Telehealth, Artificial Intelligence, and More
Document Type
Article
Publication Date
3-1-2024
Identifier/URL
40990192 (Pure); 38740469 (PubMed)
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?
Repository Citation
Bowman, M. A.,
Seehusen, D. A.,
Britz, J.,
& Ledford, C. J.
(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://corescholar.libraries.wright.edu/familymed/243
DOI
10.3122/jabfm.2024.240050R0
Comments
Publisher Copyright: © 2024 American Board of Family Medicine. All rights reserved.