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- Talk
- 15/06/2021
- Canada
Use of Artificial Intelligence-Machine Learning to Improve Team Efficiency in the Arthroplasty Operating Room: A Benchmark-Based Model
Description
Dr. Richard Gold presents a talk about utilizing artificial intelligence (AI) and machine learning to enhance team efficiency in the arthroplasty operating room at Ottawa Hospital. He discusses the high volume of primary joint surgeries conducted annually, noting that a significant percentage do not meet the Ministry's benchmark wait times. This inefficiency results in financial costs and impacts team performance due to fatigue and rescheduled cases.
To tackle these challenges, Gold and his team studied performance data from 2012 to 2020, analyzing coordination between surgical teams in operating rooms to generate benchmarks. They focus on various time intervals within the surgical process, and employ machine learning to explore relationships among multiple variables affecting surgical timing beyond traditional analytics.
Their findings indicate that surgeon and team member performance is critical to operating room efficiency, outweighing case-related factors. The machine learning model, Boruta, revealed that the personnel involved significantly influence the success rates of surgeries, with predictions showing notable accuracy. The comprehensive analysis allows for benchmarks that can improve operational efficiency without increasing resources, thereby enabling better planning and coordination in surgical settings.
Concluding, Gold emphasizes the importance of these models in forecasting, tracking performance, and fostering teamwork within the surgical environment.