📚 Course Overview
- Duration: 12 weeks (3 months)
- Format: Tutorial (PDF), Recorded modules, case studies, and project assignments
- Outcome: Foundational knowledge of medical informatics, hands-on exposure to tools, and ability to apply informatics principles in healthcare settings
🗓 Weekly Breakdown
Month 1: Foundations of Medical Informatics
- Week 1: Introduction to Medical Informatics
- History, scope, and importance in healthcare
- Key stakeholders (clinicians, IT specialists, patients)
- Week 2: Healthcare Systems & Data Standards
- Electronic Health Records (EHRs)
- HL7, FHIR, ICD, SNOMED CT
- Week 3: Clinical Data Management
- Data collection, storage, and retrieval
- Structured vs. unstructured data
- Week 4: Health Information Systems
- Hospital Information Systems (HIS)
- Laboratory and Radiology Information Systems
Month 2: Tools, Analytics & Applications
- Week 5: Decision Support Systems
- Clinical Decision Support (CDS)
- Evidence-based medicine integration
- Week 6: Data Analytics in Healthcare
- Basics of biostatistics
- Predictive modeling and machine learning in medicine
- Week 7: Telemedicine & Mobile Health (mHealth)
- Remote patient monitoring
- Mobile applications in healthcare delivery
- Week 8: Public Health Informatics
- Epidemiological data systems
- Informatics in disease surveillance and prevention
Month 3: Advanced Topics & Project Work
- Week 9: Privacy, Security & Ethics
- HIPAA, GDPR, and Indian data protection laws
- Ethical challenges in medical informatics
- Week 10: Emerging Technologies
- AI in diagnostics
- Blockchain in health records
- Wearables and IoT in healthcare
- Week 11: Research Methods in Medical Informatics
- Study design, data sources, and evaluation metrics
- Week 12: Capstone Project & Presentations
- Students work on a real-world problem (e.g., designing a small EHR prototype, analyzing health datasets, or proposing a telehealth workflow)
- Final presentations and peer review
🎯 Learning Outcomes
By the end of the course, learners will:
- Understand core concepts and standards in medical informatics
- Apply informatics tools to clinical and public health problems
- Evaluate ethical and legal implications of health data use
- Demonstrate applied knowledge through a capstone project

