The MSHAX curriculum fuses biostatistics, machine learning, and healthcare economics to upskill professionals in value-based care. Students parse HL7 FHIR feeds, build risk-adjustment models for ACOs, and craft Tableau dashboards for operating-room throughput. Faculty physicians and data scientists co-teach ethics of predictive algorithms and change-management playbooks for hospital CIOs. A Capstone Analytics Practicum pairs cohorts with partners like Northwestern Medicine and Walgreens Health Corner.
Predict sepsis onset using streaming EHR vitals and SHAP explanations
Segment chronic-disease cohorts for targeted care-management ROI analysis
Optimize OR block scheduling via integer programming and what-if simulators
Model medication-adherence risk with pharmacy claims and social determinants
Visualize ED overcrowding heatmaps integrating EMS inbound feeds
Analyze text of radiology reports to flag incidental pulmonary nodules
Forecast hospital energy demand and correlate with patient census patterns
Build a synthetic EHR dataset preserving privacy for algorithm testing
Design KPI dashboards tracking vaccine rollout equity by zip code
Conduct causal-impact study of virtual cardiac rehab on readmission rates
Develop NLP triage of patient secure-messages into urgency queues
Assess financial impact of bundled-payment models on orthopedic service lines
Prototype wearable data fusion detecting post-op mobility decline
Evaluate fairness metrics in stroke-risk prediction across racial groups
Write policy recommendations for CMS AI-audit guidelines
Leverage data to enhance outcomes and efficiency with Northwestern MSHAX.
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