Duke’s MS in Population Health Sciences trains analysts to fuse electronic-health-record mining, geospatial modeling, and community-engaged research. Students quantify telehealth access deserts, harness wearable-sensor streams to flag cardiac risk, and design policy dashboards that hospital CEOs actually consult. Field placements with health departments and insurers ensure grads translate analytics into incentives that narrow inequity gaps and curb costs.
Causal impact of grocery-delivery vouchers on HbA1c in food deserts
AI model predicting sepsis using streaming vitals and lab data
Geo-spatial equity audit of COVID booster sites
Natural-language processing of clinician notes to flag social needs
Cost-effectiveness of RPM (remote patient monitoring) for CHF
Wearable-sensor trial measuring heat-stress in gig couriers
Dashboard tracking maternal-mortality risk by zip code
Blockchain registry for secure vaccine-passport verification
Policy brief on Medicaid REACH risk-adjustment algorithms
Citizen-science particulate-matter mapping and asthma ED visits
Randomized SMS intervention for hypertension med adherence
Federated-learning pipeline across health systems preserving privacy
VR training for community health workers on postpartum hemorrhage
Meta-analysis of sugar-drink taxes on obesity prevalence
Podcast centering Indigenous voices on environmental health justice
Serious game teaching high-schoolers about STI prevention
Open-source library automating ICD code clustering for analytics
Evaluation toolkit for climate-resilient primary-care clinics
Leverage data to design healthier, fairer systems with Duke PHS.
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