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?
- How can we model the diffusion of novel practice patterns among clinicians?
- 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?
My CV (PDF) /
{first initial + last name} at theabfm dot org /
Substack /
X
Open to consulting and side projects: Cost-effectiveness analyses, observational studies, NLP in EHRs, making sense of weird unruly research areas. Rates dependent on how fun it is and who you are. :)
News
November 5, 2024:
New paper with some awesome collaborators at UCSF on how team efficiency and composition affects EHR-related burnout.
October 31, 2024: Just published a teeny tiny
policy brief talking about how few family physicians love their EHRs.
September 25, 2024: I've been accepted as
a fellow in the third year of the NIH's AIM-AHEAD initiative, which focuses on AI and health equity.
September 11, 2024: I got my first NIH award! I got a
2-year R03 from AHRQ focused on characterizing patterns of practice change in primary care following guideline updates.
September 10, 2024: Just published a
new paper led by
A Jay Holmgren and in collaboration with some fantastic folks at UCSF and the Office of the National Coordinator for Health IT about the relationship between EHR usability and burnout among family physicians.
June 17, 2024:
New paper published in
JAMIA on how medical specialty boards can contribute to federal data collection on EHR policy.
March 26, 2024: Another paper on physician satisfaction with EHRs and interoperability out in
JAMA Network Open.
April 7, 2023: NASEM has posted a video of
a talk I gave on AI in medical education.
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