Abstract

Background: Telemedicine may help improve care quality and patient outcomes. Telemedicine for intraoperative decision support has not been rigorously studied. Methods: This was a single-centre randomised clinical trial of unselected adult surgical patients. Patients were randomised to receive usual care or decision support from a telemedicine service, which provided real-time recommendations to intraoperative anaesthesia clinicians based on case reviews and physiological alerts. ORs were randomised 1:1. The co-primary outcomes were 30-day all-cause mortality, respiratory failure, acute kidney injury, and delirium in the intensive care unit, analysed by intention to treat. Results: Between July 1, 2019, and January 31, 2023, a total of 35,302 patients were randomised to receive telemedicine support, with 36,625 receiving usual care. Telemedicine clinicians provided review in 11,812/35,302 cases, with alerts delivered to 2044/35,302 patients. Telemedicine support had no effect on any of the co-primary outcomes. Within 30 days, 630/35,302 (1.8%) patients randomised to telemedicine died within 30 days, compared with 649/36,625 (1.8%) receiving usual care (relative risk [RR]1.01, 95% confidence interval [CI] 0.87–1.16, P=0.98). Telemedicine support did not alter postoperative respiratory failure [telemedicine 1071/33,996 (3.2%) vs usual care 1130/35,236 (3.2%), RR 0.98, 95% CI 0.88–1.09, P=0.98], acute kidney injury [telemedicine 2316/33 251 (7.0%) vs usual care 2432/34,441 (7.1%); RR 0.99, 95% CI 0.92–1.06, P=0.98], or delirium [telemedicine 1264/3873 (32.6%) vs usual care 1298/4044 (32.1%), RR 1.02, 95% CI 0.94–1.10, P=0.98]. Conclusions: In this large randomised clinical trial, intraoperative telemedicine decision support using real-time alerts and case reviews had no impact on adverse postoperative outcomes. Clinical trial registration: NCT03923699.

Original languageEnglish
JournalBritish journal of anaesthesia
DOIs
StateAccepted/In press - 2025

Keywords

  • acute kidney injury
  • decision support
  • delirium
  • machine learning
  • postoperative mortality
  • randomised trial
  • respiratory failure
  • telemedicine

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