| Week | Theme | Core Activities | Deliverable | |------|-------|----------------|-------------| | | Orientation | Syllabus deep‑dive, set up learning environment (GitHub, RStudio, VS Code, FHIR sandbox). | Course plan uploaded to LMS. | | 1 | Health‑Information System Landscape | Lecture + reading: Health Informatics: An Overview (Chapter 1). Lab: Map components of a hospital EMR. | 1‑page system map (submitted via Canvas). | | 2 | Interoperability Standards | HL7 v2/v3 vs FHIR deep dive. Lab: Build a simple FHIR resource (Patient). | FHIR‑JSON file + short reflection. | | 3 | Data Governance & Security | GDPR, HIPAA, data‑use agreements. Guest speaker (privacy officer). | Policy‑brief (max 800 words). | | 4 | Clinical Decision Support (CDS) | Knowledge‑based vs data‑driven CDS. Lab: Create a basic rule‑based alert in OpenCDS. | CDS rule prototype (Git repo). | | 5 | Usability & Human‑Centered Design | Nielsen heuristics, usability testing protocols. Lab: Conduct a 5‑minute think‑aloud test on a mock UI. | Usability report + video clip. | | 6 | Implementation Science | Frameworks (CFIR, RE-AIM). Reading: Implementation Research in Health IT . | Mini‑case analysis (2 pages). | | 7 | Mid‑Term Exam | Closed‑book, 60 min. Covers weeks 1‑6. | Exam (graded). | | 8 | Analytics & Machine Learning in HIS | Predictive modeling for readmission risk. Lab: Train a logistic regression model in R. | Model code + ROC curve. | | 9 | Integration & Middleware | ESB, API gateways, FHIR‑to‑HL7 adapters. Lab: Connect a mock EHR to a decision‑support service via REST. | Integration script + diagram. | | 10 | Emerging Tech | Blockchain for consent, IoT wearables, AI‑driven triage bots. | 1‑page “tech‑watch” note. | | 11 | Capstone Project Work‑in‑Progress | Peer‑review session, instructor office hours. | Draft of final report (30 %). | | 12 | Final Presentations & Submission | 12‑minute oral defense + Q&A. Submit final report + code repo. | Final grade (project 50 % + participation 30 % + exam 20 %). |
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| Question | Quick Answer | |----------|--------------| | | No. The course uses R (for analytics) and Python/JavaScript for API work. If you’re comfortable with one scripting language, you’ll be fine. | | Can I use a commercial FHIR server? | Yes, but the HAPI FHIR sandbox is free, lightweight, and fully compatible with the lab assignments. | | What if I’m not a programmer? | Focus on logic building (CDS rules, data mapping). The labs provide starter code; you’ll mainly edit JSON/YAML and write small functions. | | Is group work allowed for the capstone? | Most sections require individual projects to assess personal mastery, but you can collaborate on peer‑review and share resources. | | How much time should I allocate each week? | ~3 hrs of lecture + 2 hrs of reading + 3‑4 hrs of lab/work = 8‑9 hrs total. Adjust if you’re a non‑programmer (add 1‑2 hrs for coding practice). | | Week | Theme | Core Activities |