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

Viewpoints and Perspectives in AI (16) Applications of AI (308) Adoption and Change Management of eHealth Systems (920) Electronic Health Records (1344) Health Information Exchange (150) Theoretical Frameworks and Concepts (354)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66741, first published .
The Elastic Electronic Health Record: A Five-Tiered Framework for Applying Artificial Intelligence to Electronic Health Record Maintenance, Configuration, and Use

The Elastic Electronic Health Record: A Five-Tiered Framework for Applying Artificial Intelligence to Electronic Health Record Maintenance, Configuration, and Use

The Elastic Electronic Health Record: A Five-Tiered Framework for Applying Artificial Intelligence to Electronic Health Record Maintenance, Configuration, and Use

Authors of this article:

Colby Uptegraft1 Author Orcid Image ;   Kameron Collin Black2 Author Orcid Image ;   Jonathan Gale3 Author Orcid Image ;   Andrew Marshall4 Author Orcid Image ;   Shuhan He5 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Jiang Y, Black K, Geng G, Park D, Zou J, Ng A, Chen J. MedAgentBench: A Virtual EHR Environment to Benchmark Medical LLM Agents. NEJM AI 2025;2(9) View
  2. Voultsiou E, Moussiades L. A Systematic Review of Large Language Models in Mental Health: Opportunities, Challenges, and Future Directions. Electronics 2026;15(3):524 View