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Published on in Vol 15 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75474, first published .
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An AI-Enabled Predictive Harm Response Management Algorithmic Tool to Reduce Adverse Events in Health Care Settings (PreHaRM): Protocol for a Three-Phase Model Development and Pilot-Testing Study

An AI-Enabled Predictive Harm Response Management Algorithmic Tool to Reduce Adverse Events in Health Care Settings (PreHaRM): Protocol for a Three-Phase Model Development and Pilot-Testing Study

Marion Eckert   1 , DNsg, RN, PhD ;   Greg Sharplin   1 * , MPsych ;   Wolfgang Mayer   2 , PhD ;   Georg Grossmann   2 , PhD ;   Jan Stanek   2 , MUDR ;   Gourav Gupta   2 , BTech ;   Lachlan Darch   1 , MRES ;   Markus Stumptner   2 , PhD ;   Nicholas Marlow   1 * , PhD

1 Rosemary Bryant AO Research Centre, College of Health, Adelaide University, Adelaide, South Australia, Australia

2 Industrial AI Research Centre School of Computer Science and Information Technology, Adelaide University, Adelaide, South Australia, Australia

*these authors contributed equally

Corresponding Author:

  • Marion Eckert, DNsg, RN, PhD
  • Rosemary Bryant AO Research Centre, College of Health, Adelaide University
  • Adelaide, South Australia
  • Australia
  • Phone: 61 883022129
  • Email: marion.eckert@unisa.edu.au