Literature DB >> 29766520

The role of electronic health records in clinical reasoning.

Markus Berndt1,2, Martin R Fischer1.   

Abstract

Electronic health records (eHRs) play an increasingly important role in documentation and exchange of information in multi-and interdisciplinary patient care. Although eHRs are associated with mixed evidence in terms of effectiveness, they are undeniably the health record form of the future. This poses several learning opportunities and challenges for medical education. This review aims to connect the concept of eHRs to key competencies of physicians and elaborates current learning science perspectives on diagnostic and clinical reasoning based on a theoretical framework of scientific reasoning and argumentation. It concludes with an integrative vision of the use of eHRs, and the special role of the patient, for teaching and learning in medicine.
© 2018 New York Academy of Sciences.

Entities:  

Keywords:  clinical reasoning; eHRs; electronic health records; medical education

Mesh:

Year:  2018        PMID: 29766520     DOI: 10.1111/nyas.13849

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  5 in total

1.  Evaluating Medical Students' Clinical Reasoning in Psychiatry Using Clinical and Basic Science Concepts Presented in Session-level Integration Sessions.

Authors:  Dan I Blunk; Silvina Tonarelli; Claire Gardner; Dale Quest; Diana Petitt; Marie Leiner
Journal:  Med Sci Educ       Date:  2019-07-01

2.  Development and Validation of a Machine Learning Model for Automated Assessment of Resident Clinical Reasoning Documentation.

Authors:  Verity Schaye; Benedict Guzman; Jesse Burk-Rafel; Marina Marin; Ilan Reinstein; David Kudlowitz; Louis Miller; Jonathan Chun; Yindalon Aphinyanaphongs
Journal:  J Gen Intern Med       Date:  2022-06-16       Impact factor: 6.473

3.  Development of a Clinical Reasoning Documentation Assessment Tool for Resident and Fellow Admission Notes: a Shared Mental Model for Feedback.

Authors:  Verity Schaye; Louis Miller; David Kudlowitz; Jonathan Chun; Jesse Burk-Rafel; Patrick Cocks; Benedict Guzman; Yindalon Aphinyanaphongs; Marina Marin
Journal:  J Gen Intern Med       Date:  2021-05-04       Impact factor: 5.128

4.  Clinician involvement in research on machine learning-based predictive clinical decision support for the hospital setting: A scoping review.

Authors:  Jessica M Schwartz; Amanda J Moy; Sarah C Rossetti; Noémie Elhadad; Kenrick D Cato
Journal:  J Am Med Inform Assoc       Date:  2021-03-01       Impact factor: 4.497

5.  Navigating Through Electronic Health Records: Survey Study on Medical Students' Perspectives in General and With Regard to a Specific Training.

Authors:  Anne Herrmann-Werner; Martin Holderried; Teresa Loda; Nisar Malek; Stephan Zipfel; Friederike Holderried
Journal:  JMIR Med Inform       Date:  2019-11-12
  5 in total

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