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

Marjorie A. Bowman, Dean A. Seehusen, Jacqueline Britz, Christy J.W. Ledford

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)161-164
Number of pages4
JournalJournal of the American Board of Family Medicine
Volume37
Issue number2
DOIs
StatePublished - Mar 2024

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Family Practice

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