Curriculum
- 12 Sections
- 138 Lessons
- 12 Hours
Expand all sectionsCollapse all sections
- Instructions1
- Pre-Test
- Instructions:
- 1. This assessment contains 20 Multiple Choice Questions.
- 2. Each question carries 1 mark. Total marks: 20.
- 3. Select the ONE best answer for each question.
1 - Module 1: Introduction to Digital Health16
- 3.1Module Outline
- 3.21. What is Digital Health?
- 3.31.1. Definition of Digital Health
- 3.41.2. Why is Digital Health Needed?
- 3.51.3. Key Digital Health Tools
- 3.61.4. Impact of Technology in Healthcare
- 3.72. History and Evolution of Digital Health
- 3.82.1. Evolution of Digital Health
- 3.92.2. Traditional Healthcare to Digital Solutions
- 3.102.3. Sustainable Healthcare Model
- 3.113. Benefits of Digital Health and Roles of Healthcare Professionals
- 3.123.1. Benefits of Digital Health to Patients
- 3.133.2. Benefits of Digital Health to Healthcare Providers
- 3.143.3. Role of a Healthcare Practitioner in Digital Healthcare Adoption
- 3.154. Digital Health Lab 1: Remote Monitoring in Post-Discharge Care
- 3.165. Conclusion and References
- Module 2: Digital Health Tools and Technologies23
- 4.1Module Outline
- 4.21. Digital Health Tools
- 4.31.1. Broad Categorisation of Digital Health Tools
- 4.42. Hospital Management Information System (HMIS)
- 4.52.1. HMIS Workflow
- 4.63. Electronic Medical Record (EMR)
- 4.73.1. EMR Workflow
- 4.83.2. EHR vs EMR
- 4.93.3. EMR: Case Scenario
- 4.104. Telemedicine
- 4.114.1. Types of Telemedicine and Interactions
- 4.125. mHealth
- 4.135.1. Personalised Health App
- 4.145.2. Decision Support and Screening Tools
- 4.155.3. Chatbots
- 4.166. Remote Patient Monitoring
- 4.176.1. Key Features of RPM
- 4.186.2. Patient Portal and Clinician Dashboard
- 4.196.3. Point of Care Technologies
- 4.207. Clinical Decision Support System (CDSS)
- 4.217.1. Clinical Decision Support System (CDSS) Integrated into Clinical Workflow
- 4.227.2. Automation Bias
- 4.23Conclusion
- Module 3: Digital Health Architecture, Data Management and Operational Resilience16
- 5.1Module Outline
- 5.21. Architecture of Digital Health System
- 5.31.1. Technical Layer
- 5.41.2. Infrastructure Layer
- 5.52. Management of Health Data
- 5.62.1. Centralised Vs Federated System
- 5.72.2. Interoperability
- 5.82.3. Communication Standards in Healthcare
- 5.93. Data Quality Assurance in Digital Health
- 5.103.1. Data Quality Assurance: Checklist
- 5.113.2. Reducing Alert Fatigue through Good Quality Data Entry
- 5.124. Operational Resilience: Downtime, Local Caching and Power Fallback Protocols
- 5.134.1. Why Downtime Contingency Plan is Needed?
- 5.144.2. Local Caching
- 5.154.3. Power Fallback Protocols
- 5.16Conclusion
- Module 4: Global and Indian Digital Health Landscape19
- 6.1Module Outline
- 6.21. Global Landscape of Digital Health
- 6.31.1. Reasons for Global Adoption of Digital Health
- 6.41.2. Key Adopted Areas in Digital Health
- 6.51.3. International Bodies and Policies
- 6.61.4. Trends in Global Digital Healthcare: Next Big Thing!
- 6.71.5. Case Study: Takeaways from Market
- 6.82. Digital Health Landscape in India
- 6.92.1. India’s Digital Health Strategy
- 6.102.2. Ayushman Bharat Digital Mission (ABDM)
- 6.112.3. Health System Based Digital Health Initiative
- 6.122.4. Telemedicine
- 6.132.5. Decision Support System
- 6.142.6. Initiatives under National Health Programs
- 6.153. Digital Health Impact on Public Healthcare
- 6.163.1. Strengthening Primary Care in India through Digital Health
- 6.173.2. Improved Disease Surveillance in Public Health
- 6.183.3. Improved Efficiency and Cost Reduction in Healthcare Delivery
- 6.19Conclusion
- Module 5: AI In Healthcare - Part I14
- 7.1Module Outline
- 7.21. Health Data Analytics
- 7.31.1. Healthcare Data
- 7.41.2. How Much Data Do Digital Health Tools Generate?
- 7.51.3. Introduction to Health Analytics
- 7.61.4. A Stepwise Approach to Health Data Analytics
- 7.71.5. Data Mining
- 7.82. Artificial Intelligence and Machine Learning
- 7.92.1. What are AI and ML?
- 7.102.2. Data Labelling
- 7.112.3. Supervised Learning
- 7.122.4. Unsupervised Learning
- 7.132.5. AI Models Used in Healthcare
- 7.14Conclusion
- Module 6: AI in Healthcare - Part II11
- 8.1Module Outline
- 8.21. Advanced AI Techniques
- 8.31.2. Generative AI
- 8.42. AI Performance Metrics
- 8.53. Applications in Clinical Practice
- 8.63.1. Diagnosis/Screening Support
- 8.73.2. Risk Prediction
- 8.83.3. Treatment Selection and Personalisation
- 8.93.4. Population Health Management
- 8.103.5. Practical Guidance for Physicians
- 8.114. Conclusion
- Module 7: Health Data Security, Privacy and Ethics19
- 9.1Module Outline
- 9.21. The Need for Data Privacy and Security in Healthcare
- 9.31.1. Why It Matters for Patients
- 9.41.2. Why It Matters for the Healthcare Industry
- 9.51.3. Foundational Concepts
- 9.61.4. Journey of Data Protection, Frameworks, and Indian Challenges
- 9.72. Principles and Security Mechanisms
- 9.82.2. Technical Security Mechanisms
- 9.92.3. Vulnerabilities and Breaches
- 9.103. Practical Recommendations and Guidelines for Physicians
- 9.113.1. Correct Practice
- 9.123.2. Incident Escalation and Breach Response
- 9.133.3. Telemedicine Practice Guidelines
- 9.143.4. Electronic Health Record Standards in India
- 9.154. Ethical Implementation of AI
- 9.164.1. AI‑Associated Ethical Challenges
- 9.174.2. Safe Use of AI and Decision Support Systems
- 9.184.3. Daily Practice Checklist for Clinicians
- 9.19Conclusion
- Module 8: Future Trends in Digital Health18
- 10.1Module Outline
- 10.21. Intelligent & Autonomous Systems
- 10.31.1. Generative AI in Healthcare
- 10.41.2. Healthcare Agentic AI
- 10.51.3. Digital Therapeutics (DTx) – Software as a Medical Intervention
- 10.61.4. Remote & Autonomous Robotic Surgery
- 10.71.5. Quantum Computing in Medicine
- 10.82. Personalised & Predictive Care Models
- 10.92.1. Precision Medicine
- 10.102.2. Multi-Omics Analytics
- 10.112.3. Digital Twins – Virtual Replicas of Patients and Systems
- 10.122.4. Vocal Biomarkers – The Voice as a Vital Sign
- 10.132.5. Mental Health Care Using Digital Technology
- 10.143. Immersive, Virtual & Sustainable Care Delivery
- 10.153.1. Virtual Wards – Hospital at Home
- 10.163.2. Immersive Technologies – AR, VR, and the Healthcare Metaverse
- 10.173.3. Sustainability in Digital Health
- 10.18Conclusion
- Feedback Questionnaire1
- Post Test
- Instructions:
- 1. This assessment contains 20 Multiple Choice Questions.
- 2. Each question carries 1 mark. Total marks: 20.
- 3. Minimum qualifying score: 50% (10 out of 20).
- 4. Select the ONE best answer for each question.
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