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Precision Medical Education.

Marc M Triola1, Jesse Burk-Rafel2

  • 1M.M. Triola is associate dean of educational informatics and director of the Institute for Innovations in Medical Education, NYU Grossman School of Medicine, New York, New York; ORCID: https://orcid.org/0000-0002-6303-3112 .

Academic Medicine : Journal of the Association of American Medical Colleges
|April 7, 2023
PubMed
Summary
This summary is machine-generated.

Precision medical education (PME) offers a systematic approach to personalize learning using data analytics for better outcomes. This framework requires new capacities and a culture shift for effective implementation in medical training.

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Area of Science:

  • Medical Education
  • Educational Technology
  • Data Analytics in Healthcare

Background:

  • Medical schools increasingly use personalized content and assessments within competency-based models.
  • Challenges exist in managing large datasets and delivering timely insights for trainees and educators.
  • A need for a standardized definition and framework for precision medical education (PME) is apparent.

Purpose of the Study:

  • To define Precision Medical Education (PME) as a systematic approach.
  • To propose an adapted P4 framework for PME, integrating data and analytics for personalized interventions.
  • To outline the foundational capacities required for PME implementation.

Main Methods:

  • Defining PME as a systematic approach integrating longitudinal data and analytics.
  • Proposing the P4 medical education framework: proactive data use, personalized insights, participatory interventions, and predictive outcomes.
  • Identifying foundational capacities for PME implementation.

Main Results:

  • PME is defined as a systematic approach using data and analytics for personalized educational interventions.
  • The P4 framework guides PME by emphasizing proactive data acquisition, precision analytics, participatory design, and predictive outcomes.
  • Key capacities include flexible pathways, longitudinal data, advanced analytics, and a supportive culture.

Conclusions:

  • Precision Medical Education (PME) offers a promising paradigm to address challenges in personalized medical training.
  • Successful PME implementation hinges on developing new capacities, robust data infrastructure, advanced analytics, and a culture of precision.
  • PME requires careful consideration of potential pitfalls and maintaining the crucial trainee-coach interaction.