Completed Trial Evaluates Ambient AI Scribes for Reducing Physician Burnout — Key Findings for Australian Healthcare
247 Health News Editorial
·28 May 2026
·3 min read
·clinical-trialsA completed randomised trial of 139 providers evaluated ambient AI scribes for reducing physician burnout and documentation burden. Results could inform Australian healthcare technology adoption strategies.
Originally reported by ClinicalTrials.gov
References
- 1.University of Washington. (2024). Evaluation of Abridge Ambient AI Technology Regarding Provider Burnout and Patient Satisfaction With the Clinical Encounter. ClinicalTrials.gov. NCT07598721. https://clinicaltrials.gov/study/NCT07598721
- 2.Shanafelt, T. D., & Noseworthy, J. H. (2022). Executive leadership and physician well-being: nine organizational strategies to promote engagement and reduce burnout. Mayo Clinic Proceedings, 92(1), 129-146. https://doi.org/10.1016/j.mayocp.2016.10.004
- 3.Trockel, M., Bohman, B., Lesure, E., Hamidi, M. S., Welle, D., Roberts, L., & Shanafelt, T. (2018). A brief instrument to assess both burnout and professional fulfillment in physicians: reliability and validity, including correlation with self-reported medical errors, in a sample of resident and practicing physicians. Academic Psychiatry, 42(1), 11-24. https://doi.org/10.1007/s40596-017-0849-3
- 4.Sinsky, C., Colligan, L., Li, L., Prgomet, M., Reynolds, S., Goeders, L., Westbrook, J., Tutty, M., & Blike, G. (2016). Allocation of physician time in ambulatory practice: a time and motion study in 4 specialties. Annals of Internal Medicine, 165(11), 753-760. https://doi.org/10.7326/M16-0961
- 5.Medisauskaite, A., & Kamau, C. (2019). Does occupational distress raise the risk of alcohol use, binge-eating, ill health and sleep problems among medical doctors? A UK cross-sectional study. BMJ Open, 9(5), e027362. https://doi.org/10.1136/bmjopen-2018-027362
- 6.Arndt, B. G., Beasley, J. W., Watkinson, M. D., Temte, J. L., Tuan, W. J., Sinsky, C. A., & Gilchrist, V. J. (2017). Tethered to the EHR: primary care physician workload assessment using EHR event log data and time-motion observations. Annals of Family Medicine, 15(5), 419-426. https://doi.org/10.1370/afm.2121
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