WITHDRAWN: Telemedicine Alert System Trial for High-Risk Post-Surgical Patients — Lessons for Australian Perioperative Care
247 Health News Editorial
·18 May 2026
·4 min read
·clinical-trialsThe ODIN-Report trial investigating machine learning alerts for high-risk post-surgical patients has been withdrawn, but offers valuable insights for Australian perioperative care development. The study aimed to reduce unplanned ICU admissions through predictive risk notifications.
Originally reported by ClinicalTrials.gov
References
- 1.Washington University School of Medicine. (2024). Telemedicine Notifications With Machine Learning for Postoperative Care. ClinicalTrials.gov. NCT03974828. https://clinicaltrials.gov/study/NCT03974828
- 2.Kahan, B. C., Rehal, S., & Cro, S. (2019). Risk of selection, detection, and attrition biases in randomised controlled trials. BMJ, 367, l4637. https://doi.org/10.1136/bmj.l4637
- 3.Pearse, R. M., Moreno, R. P., Bauer, P., Pelosi, P., Metnitz, P., Spies, C., Vallet, B., Vincent, J. L., Hoeft, A., & Rhodes, A. (2012). Mortality after surgery in Europe: a 7 day cohort study. The Lancet, 380(9847), 1059-1065. https://doi.org/10.1016/S0140-6736(12)61148-9
- 4.Ghaferi, A. A., Birkmeyer, J. D., & Dimick, J. B. (2009). Variation in hospital mortality associated with inpatient surgery. New England Journal of Medicine, 361(14), 1368-1375. https://doi.org/10.1056/NEJMsa0903048
- 5.Rajkomar, A., Dean, J., & Kohane, I. (2019). Machine learning in medicine. New England Journal of Medicine, 380(14), 1347-1358. https://doi.org/10.1056/NEJMra1814259
- 6.Bellomo, R., Kellum, J. A., & Ronco, C. (2012). Acute kidney injury. The Lancet, 380(9843), 756-766. https://doi.org/10.1016/S0140-6736(11)61454-2
- 7.Therapeutic Goods Administration. (2023). Software as Medical Device: Guidance for manufacturers. TGA Guidelines. TGA-GD-2023-01. https://www.tga.gov.au/resources/guidance/guidance-documents/software-medical-device-guidance-manufacturers
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