Cited by 81Innovations in Medical EducationArtificial Intelligence in Healthcare and EducationHealth and Medical Education

Precision Education: The Future of Lifelong Learning in Medicine

Desai, Sanjay V, Burk-Rafel, Jesse, Lomis, Kimberly D, Caverzagie, Kelly, Richardson, Judee, O’Brien, Celia Laird, Andrews, John, Heckman, Kevin +6 more·2024·Academic Medicine

Abstract

The goal of medical education is to produce a physician workforce capable of delivering high-quality equitable care to diverse patient populations and communities. To achieve this aim amidst explosive growth in medical knowledge and increasingly complex medical care, a system of personalized and continuous learning, assessment, and feedback for trainees and practicing physicians is urgently needed. In this perspective, the authors build on prior work to advance a conceptual framework for such a system: precision education (PE). PE is a system that uses data and technology to transform lifelong learning by improving personalization, efficiency, and agency at the individual, program, and organization levels. PE “cycles” start with data inputs proactively gathered from new and existing sources, including assessments, educational activities, electronic medical records, patient care outcomes, and clinical practice patterns. Through technology-enabled analytics, insights are generated to drive precision interventions. At the individual level, such interventions include personalized just-in-time educational programming. Coaching is essential to provide feedback and increase learner participation and personalization. Outcomes are measured using assessment and evaluation of interventions at the individual, program, and organizational levels, with ongoing adjustment for repeated cycles of improvement. PE is rooted in patient, health system, and population data; promotes value-based care and health equity; and generates an adaptive learning culture. The authors suggest fundamental principles for PE, including promoting equity in structures and processes, learner agency, and integration with workflow (harmonization). Finally, the authors explore the immediate need to develop consensus-driven standards: rules of engagement between people, products, and entities that interact in these systems to ensure interoperability, data sharing, replicability, and scale of PE innovations.

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Authors
Desai, S. V., Burk-Rafel, J., Lomis, K. D., Caverzagie, K., Richardson, J., O’Brien, C. L., Andrews, J., Heckman, K., Henderson, D., Prober, C. G., Pugh, C. M., Stern, S. D., Triola, M. M., & Santen, S. A.
Affiliations
  • American Medical Association (US)
  • is assistant professor, Division of Hospital Medicine, and assistant director of precision medical education, Institute for Innovations in Medical Education, NYU Grossman School of Medicine, New York, New York J. Burk-Rafel ; jesse.rafel@nyulangone.org
  • University of Nebraska Medical Center (US)
  • Northwestern University (US)
  • Stanford Medicine (US)
  • University of Chicago (US)
  • New York University (US)
  • Virginia Commonwealth University (US)
Corresponding author
Desai, Sanjay V
Venue
Academic Medicine
Published
2024-01-29
Volume
99
Issue
Supplement_1
Pages
S14-S20
ISSN
  • 1040-2446 (ISSN-L)
  • 1938-808X
OpenAlex
W4391285534
Cited by
81
References
2
Citations by year
2026: 39 · 2025: 25 · 2024: 10 · 2023: 7
FWCI
30.65
Type
journal article
Language
en
Open access
closed
Locations
  • Academic Medicine (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Health Sciences › Health Professions › General Health Professions › Health and Medical Education
Keywords
precision education, continuing professional development, learner agency, health equity, value-based care, interoperability standards, medical workforce
MeSH terms
Education, Continuing, Education, Medical, Educational Status, Humans, Learning, Medicine

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