Atalan Tech's platform uses machine learning to analyze over 100 factors associated with burnout and turnover, using data from electronic health records and human resources information systems. When risk factors are identified, the company devises specialized treatments and solutions. The platform can predict clinician turnover up to a year in advance, allowing health systems to implement preventative measures. Currently, Atalan Tech is collaborating with eight health systems, with plans to increase this to 15 by the end of next year.
Key takeaways:
- Atalan Tech, a Boston-based firm, has raised $2.5 million in seed investment to develop an AI system that predicts physician fatigue and turnover.
- The platform from Atalan Tech analyzes over 100 factors associated with burnout and turnover using machine learning models to pull data from electronic health records and human resources information systems.
- Doctor burnout is a serious issue in the US healthcare system, with approximately 63% of doctors expressing symptoms on a weekly basis, according to the American Medical Association.
- Burnout among doctors is typically caused by healthcare system inefficiencies, administrative costs, and growing regulatory and technological expectations.