Public Health & Real-World Data Concepts Lab
Ethical Considerations & Translational Applications of AI in Pharmacy (BP801T) · Semester 8 · Unit 4: AI in Public Health & Real-World Data Analytics
Map fictional EHR/claims/surveillance structures, privacy, representation, and population-pattern concepts without accessing records or producing a public-health forecast.
What this unit covers
Public-health and real-world-data teaching covers fictional EHR, claims, and surveillance structures; outbreak, population-level risk, epidemiology, vaccination, prevalence, and antibiotic-resistance trend concepts. No real records are accessed, no individual risk is assessed, and no public-health forecast or intervention recommendation is produced.
Apply it
Map a fictional data source and population pattern, then explain why representativeness, privacy, and uncertainty prevent individual or operational conclusions.
How this lab works
A visible browser-native teaching interaction updates illustrative states, scores, or visual summaries from authored values.
Data used
Fictional or browser-generated teaching inputs; no patient, proprietary manufacturing, or clinical-record data.
Limits
Educational simulation only. Outputs are not clinical advice, patient-specific predictions, release specifications, regulatory decisions, or professional competency evidence.