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

Theme Issue 2024: The Emergence of Medical Futures Studies (10) E-Health Policy and Health Systems Innovation (387) Innovations in Cancer Diagnostic and Decision Support (123) Standards and Interoperability (160)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/92642, first published .
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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
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Peter May   1 , Dr med, MD, MPH, MA ;   Sabine D Brookman-May   2 , Prof Dr Med, MD ;   Edward Garrahy   3 , MD ;   Johannes von Büren   4 , Dr med, MD

1 Department of Medicine III, School of Medicine and Health, Technical University of Munich, Munich, Bavaria, Germany

2 Department of Urology, Ludwig-Maximilians-Universität München, Munich, Bavaria, Germany

3 Wellster Healthtech Group, Munich, Germany

4 Sidekick Health Germany GmbH, Hamburg, Germany

Corresponding Author:

  • Peter May, Dr med, MD, MPH, MA
  • Department of Medicine III
  • School of Medicine and Health, Technical University of Munich
  • Ismaninger Str. 22
  • Munich, Bavaria 81675
  • Germany
  • Phone: 49 89-4400 ext 8753
  • Email: peter.may@tum.de