I’m a researcher and data scientist with the American Board of Family Medicine and their Center for Professionalism and Value in Health Care.
My research focuses on natural language processing with clinical notes, epidemiology, and artificial intelligence for decision support.
Here are some questions that motivate me:
- How can we reduce the heterogeneity of diagnoses by different clinicians?
- What would a healthcare system designed around AI look like?
- Why don't we use risk thresholds for more decisions (e.g., polygenic risk scores to determine cancer screening frequency)?
- How can we accelerate the integration of new scientific knowledge into clinical decisions?
- To what extent can we automate the process of learning from observational data (EHR and claims, yes, but also behavioral data from phones and other ambient sensors)?
- How would our world change if we substantially lengthened our lifespans?