Pitfalls and Promise of Alerts for AKI and Beyond, with Dr Perry Wilson

Dr. Wilson is an Associate Professor of Medicine and Public Health at Yale University and Director of Yale's Clinical and Translational Research Accelerator, a multi-disciplinary human subject's research collaborative. Dr. Wilson uses the tools of data science - machine learning, digital health devices (like wearables) and epidemiologic and translational research methods to target diagnostic and therapeutic interventions to patients at the point of care. His particular interest is in making care delivery more efficient by using data science approaches to target interventions to patients most likely to benefit from them. These models can reduce the number of individuals exposed to a drug or intervention unnecessarily, reducing adverse events, and lowering costs.


Learning Objectives:
Describe the four critical elements for alerts to be successful in theory
Describe the elements alerts require to be successful in practice
Describe how human-supervised recommendations may lead to better alert  automation