Diagnostic Prediction Models for Primary Care, Based on AI and Electronic Health Records: Systematic Review.

Journal: JMIR medical informatics
Published Date: Aug 22, 2025

Abstract

BACKGROUND: Artificial intelligence (AI)-based diagnostic prediction models could aid primary care (PC) in decision-making for faster and more accurate diagnoses. AI has the potential to transform electronic health records (EHRs) data into valuable diagnostic prediction models. Different prediction models based on EHR have been developed. However, there are currently no systematic reviews that evaluate AI-based diagnostic prediction models for PC using EHR data.

Authors

  • Liesbeth Hunik
    Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Asma Chaabouni
    Department of Primary and Community Care, Research Institute for Medical Innovation, Radboudumc, Geert Grooteplein Zuid 21, Nijmegen, 6525 GA, The Netherlands, 31 243618181.
  • Twan van Laarhoven
    Institute for Computing and Information Science, Radboud University, Nijmegen, The Netherlands.
  • Tim C Olde Hartman
    Department of Primary and Community Care, Research Institute for Medical Innovation, Radboudumc, Geert Grooteplein Zuid 21, Nijmegen, 6525 GA, The Netherlands, 31 243618181.
  • Ralph T H Leijenaar
    The D-Lab, Department of Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands.
  • Jochen W L Cals
    Universiteit Maastricht, Care and Public Health Research Institute, vakgroep Huisartsgeneeskunde, Maastricht.
  • Annemarie A Uijen
    Department of Primary and Community Care, Research Institute for Medical Innovation, Radboudumc, Geert Grooteplein Zuid 21, Nijmegen, 6525 GA, The Netherlands, 31 243618181.
  • Henk J Schers
    Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, The Netherlands.

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