Machine Learning in Health Care Meeting
Organized by David M. Cutler, Sendhil Mullainathan, and Ziad Obermeyer
Supported by the National Institute on Aging
June 4, 2018
NBER
Monday, June 4
FORMAT: 45 mins presenter, 15 mins questions
8:15 am
Shuttle Van Leaves Royal Sonesta Hotel for NBER
8:30 am
Continental Breakfast
9:00 am

Introduction/ Recent Developments in Machine Learning and Causal Inference

Susan Athey, Stanford University and NBER
10:00 am

Are We Over-Testing? Using Machine Learning to Understand Doctors’ Decisions

Sendhil Mullainathan, Massachusetts Institute of Technology and NBER
Ziad Obermeyer, University of California, Berkeley and NBER
11:00 am
Coffee Break
11:30 am

Triage Judgments in the Emergency Department

David C. Chan Jr, University of California, Berkeley and NBER
Jonathan Gruber, Massachusetts Institute of Technology and NBER
12:30 pm

Using Big Data and Data Science to Generate Solutions to the Opioid Crisis

Justine S. Hastings, University of Washington
Mark Howison, Brown University
Sarah E. Inman, Columbia University
Miraj G. Shah, Google Inc.
1:30 pm
Lunch and Panel on Machine Learning Applications
3:00 pm

Managing Intelligence: Skilled Experts and AI in Markets for Complex Products

Jonathan Gruber, Massachusetts Institute of Technology and NBER
Benjamin R. Handel, University of California, Berkeley and NBER
Jonathan T. Kolstad, University of California, Berkeley and NBER
Samuel Kina, Picwell Inc.
4:00 pm

Medication Adherence and Cost Exposure: A Story in Heterogeneity

Rahul Ladhania, University of Michigan
Amelia Haviland, Carnegie Mellon University
Neeraj Sood, University of Southern California and NBER
Ateev Mehrotra, Harvard Medical School
5:00 pm
Adjourn