This session will discuss how to use machine learning, big data, and AI to achieve clinical performance improvement. The speakers share the strategies they are taking to engage clinicians in achieving significant clinical performance improvement, using more actionable and timely insights. This includes aligning on reporting across facilities and departments, implementing case-mix adjusted benchmarks, leveraging AI-driven analytics to pinpoint opportunities and identify root causes, and implementing change management processes to communicate insights, develop action plans, and track execution.
Discuss the benefits of using vast quantities of clinical, claims, lab, prescription and social determinants of health data to deliver more actionable insights
Describe how machine learning and artificial intelligence can be used in precise case mix adjustment
Identify how sports analytics models can be used to improve patient care
Assess how machine learning and artificial intelligence can be used to engage physicians in pinpointing unwanted variation
Identify questions to ask when assessing ML, AI and data vendors