This paper is in the following e-collection/theme issue:

Virtual Patients (80) Electronic Health Records (1354) Tools, Programs and Algorithms (394)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43988, first published .
Proposal of a Method for Transferring High-Quality Scientific Literature Data to Virtual Patient Cases Using Categorical Data Generated by Bernoulli-Distributed Random Values: Development and Prototypical Implementation

Proposal of a Method for Transferring High-Quality Scientific Literature Data to Virtual Patient Cases Using Categorical Data Generated by Bernoulli-Distributed Random Values: Development and Prototypical Implementation

Proposal of a Method for Transferring High-Quality Scientific Literature Data to Virtual Patient Cases Using Categorical Data Generated by Bernoulli-Distributed Random Values: Development and Prototypical Implementation

Authors of this article:

Christian Schmidt1 Author Orcid Image ;   Dorothea Kesztyüs1 Author Orcid Image ;   Martin Haag2 Author Orcid Image ;   Manfred Wilhelm3 Author Orcid Image ;   Tibor Kesztyüs1 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Zhang X, Lyu X, Weng X, Zhou Y. From Conventional OSCE to Virtual Reality–Enhanced OSCE: A Narrative Review of Promise and Pitfalls in Medical Education. Advances in Medical Education and Practice 2026;Volume 17:1 View