(Innovative Data and Analytics Transformation, Machine Learning/AI — Course Level: Advanced)
Machine learning is based on learning from past data and using that to predict the future. This assumes that the future looks like the past. However, this is no longer the case. There is now a longer-term problem for care disruption due to COVID-19—appointments have been missed or switched to televisits, lab tests have been delayed, and prescriptions have not been filled. How can data science help address this looming issue? This session shares lessons learned and shows how to recognize measure care disruption, predict which patients are at most risk, identify what kind of interventions are appropriate for patients, and how to use data science techniques to help manage the unpredictability of the new normal.