Physician-scientist

Niteesh K.
Choudhry

MD, PhD

Behavioral Science  ·  Data Science  ·  Health Care Delivery

Portrait of Niteesh K. Choudhry, MD, PhD
  • Chief Medical and Science Officer, RxAnte
  • Professor, Medicine & Public Health, Harvard University
  • Physician, Brigham and Women's Hospital

My work sits at the intersection of behavioral science and data science — designing, testing, and scaling interventions that improve how patients take their medications, how clinicians prescribe, and how technology can be harnessed to optimize care.

The challenge is not just discovering what works in theory, but translating it into practice — understanding for whom, and how to deliver it at scale.

300+peer-reviewed papers
34,000+citations
25+years of practice

Behavior, technology, and health

01
Medication adherence

Designing and testing scalable strategies — financial incentives, behavioral nudges, data-driven personalized messaging — to help patients take medications as prescribed.

02
Prescribing quality

Applying behavioral science to improve what clinicians prescribe — and to safely stop what they shouldn't. Techniques include EHR-based decision support, pre-commitment tools, audit and feedback, and patient-directed outreach.

03
Data science & analytics

Applying reinforcement learning and machine learning to predict non-adherence before it happens and deliver personalized interventions — the right message, to the right person, at the right moment.

“The more we understand what drives behavior, the more effectively we can close the gap between what we know and what we do. And that’s the key to turning scientific discovery into real-world impact.”

Niteesh K. Choudhry, MD, PhD  ·  Harvard Medical School Insights, 2026

Featured publications

Browse all 300+ publications →
2026 NUDGE-EHR Electronic health record intervention and deprescribing for older adults: a randomized clinical trialEHR tools designed using behavioral science principles — including pre-commitment strategies and booster reminders — increased safe deprescribing of high-risk medications in adults aged 65 and older by 40% versus usual care. JAMA 2024 REINFORCE The impact of using reinforcement learning to personalize communication on medication adherenceA reinforcement learning algorithm that identified each patient's individual responsiveness to text message content and personalized messaging accordingly improved diabetes medication adherence by 13.6 percentage points versus control. npj Digital Medicine 2018 MOTIVATE Letters designed with behavioural science increase influenza vaccination in Medicare beneficiariesA five-arm trial conducted with the White House Social and Behavioral Sciences Team showing that a single behaviorally designed mailed letter increased influenza vaccination — a meaningful effect at national scale. Nature Human Behaviour 2018 STIC2IT Effect of a remotely delivered tailored multicomponent approach to enhance medication taking for patients with hyperlipidemia, hypertension, and diabetesA cluster-randomized trial at 14 primary care sites testing a pharmacist-led, behaviorally tailored intervention combining telephone consultations, text messaging, and automated report cards. JAMA Internal Medicine 2011 MI FREEE Full coverage for preventive medications after myocardial infarctionA national randomized trial with Aetna showing that eliminating medication copayments after a heart attack improved adherence, reduced major vascular events, and lowered patient out-of-pocket spending — without increasing insurer costs. New England Journal of Medicine