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

Theme Issue 2024: The Emergence of Medical Futures Studies (49) E-Health Policy and Health Systems Innovation (541) Innovations in Cancer Diagnostic and Decision Support (158) Standards and Interoperability (228)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/92642, first published .
Oncology pathway schematic on screen with medical professionals discussing

Sequencing AI Automation and Data Interoperability in Oncology Using a Scenario-Planning Framework Coupled With Discrete-Event Simulation: Proof-of-Concept Study

Sequencing AI Automation and Data Interoperability in Oncology Using a Scenario-Planning Framework Coupled With Discrete-Event Simulation: Proof-of-Concept Study

Authors of this article:

Peter May1 Author Orcid Image ;   Sabine D Brookman-May2 Author Orcid Image ;   Edward Garrahy3 Author Orcid Image ;   Johannes von Büren4 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Knauer M, Greß J, Kather J, May P. Large Language Models for Oncology Guideline Maintenance: Prospective Case Study. JMIR AI 2026;5:e93239 View
  2. Basaldua Galarza A, Gamarra-Moreno A, Quispe Bautista W, Rojas Guillén J. AI-Enabled Healthcare Systems: A Scoping Review of Socio-Technical, Governance, and Implementation Challenges. Systems 2026;14(9):1124 View