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Accepted for/Published in: JMIR AI

Date Submitted: Oct 10, 2024
Date Accepted: May 22, 2025

The final, peer-reviewed published version of this preprint can be found here:

Predicting the Emergency Department Patient Journey Using a Machine Learning Approach

Kovoor JG, Carmichael GJ, Stretton B, Gupta AK, Kleinig OS, Ittimani M, Fabian J, Tan S, Ng JS, Sateakeerthy S, Booth A, Beath A, Kefalianos J, Jacob MO, Ahmed S, Chan WO, Kovoor P, Gluck S, Gilbert T, Malycha J, Reddi BA, Padbury RT, Trochsler MI, Maddern GJ, Chew DP, Zannettino AC, Liew D, Beltrame JF, O’Callaghan PG, Papendick C, Bacchi S

Predicting the Emergency Department Patient Journey Using a Machine Learning Approach

JMIR AI 2025;4:e67321

DOI: 10.2196/67321

PMID: 41418274

PMCID: 12716828

Emergency Department Patient Journey Prediction with Machine Learning

  • Joshua George Kovoor; 
  • Gavin John Carmichael; 
  • Brandon Stretton; 
  • Aashray K Gupta; 
  • Oliver S. Kleinig; 
  • Mana Ittimani; 
  • Jack Fabian; 
  • Sheryn Tan; 
  • Jeng Sweng Ng; 
  • Shrirajh Sateakeerthy; 
  • Andrew Booth; 
  • Alexander Beath; 
  • John Kefalianos; 
  • Mathew Ollapallil Jacob; 
  • Sadeya Ahmed; 
  • Weng Onn Chan; 
  • Pramesh Kovoor; 
  • Samuel Gluck; 
  • Toby Gilbert; 
  • James Malycha; 
  • Benjamin A. Reddi; 
  • Robert T. Padbury; 
  • Markus I. Trochsler; 
  • Guy J. Maddern; 
  • Derek P. Chew; 
  • Andrew C. Zannettino; 
  • Danny Liew; 
  • John F. Beltrame; 
  • Patrick G. O’Callaghan; 
  • Cynthia Papendick; 
  • Stephen Bacchi

ABSTRACT

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 Citation

Please cite as:

Kovoor JG, Carmichael GJ, Stretton B, Gupta AK, Kleinig OS, Ittimani M, Fabian J, Tan S, Ng JS, Sateakeerthy S, Booth A, Beath A, Kefalianos J, Jacob MO, Ahmed S, Chan WO, Kovoor P, Gluck S, Gilbert T, Malycha J, Reddi BA, Padbury RT, Trochsler MI, Maddern GJ, Chew DP, Zannettino AC, Liew D, Beltrame JF, O’Callaghan PG, Papendick C, Bacchi S

Predicting the Emergency Department Patient Journey Using a Machine Learning Approach

JMIR AI 2025;4:e67321

DOI: 10.2196/67321

PMID: 41418274

PMCID: 12716828

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© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.