In addition to her current role Dr. Callcut is also the Director of Data Science for the UCSF Center for Digital Health and the Program Director of the UCSF SmarterHealth Artificial Intelligence Initiative. Dr. Callcut is double board certified in General Surgery and Critical Care maintaining an active clinical practice in trauma and critical care at UCSF and Zuckerberg San Francisco General Hospital. Dr. Callcut’s efforts with the Center for Digital Health Innovation are focused on leading a multi-disciplinary team working in artificial intelligence to drive change in the delivery of healthcare for both patients and providers. Dr. Callcut also directs a multidisciplinary NIH and DOD-funded research lab focused on the integration of data science into critical care for improved clinical decision support. In addition to her active clinical practice, she is the founder and director of the Trauma, Injury Science, and Critical Care Collaborative (TRISECT) research group at UCSF.
ML-based clinical decision support technology is becoming more popular among healthcare provider organizations due to its ability to analyze large volumes of information, ensure that key data don’t escape the attention of the care team, and reduce alert fatigue. Unfortunately, most health systems are unprepared for how to select and deploy these new solutions. This session will discuss steps that hospitals and health systems should take to avoid mistakes and pitfalls.