Digital Health Masterclass: Strategy, AI & Implementation

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Digital Health Masterclass: Strategy, AI & Implementation
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 13h 32m | Size: 7.49 GB

Health informatics, AI in healthcare, telemedicine, HL7 FHIR & digital health strategy for any health system

What you'll learn
Choose, evaluate and safely govern AI tools in clinical care using a practical scorecard grounded in WHO ethics and LMM guidance
Design a digital health strategy and investment case using WHO frameworks, adaptable to any national or organisational health system
Plan a digital health rollout from pilot to scale: requirements, procurement, change management, go-live, M&E and sustainability
Build a complete Digital Health Implementation Plan for your own project, using 15 ready-to-use professional templates
Explain how EHRs, DHIS2, LIS and telehealth exchange data with HL7 FHIR, ICD-11 and OpenHIE, and test it on a public FHIR server
Set up a safe telemedicine service: models, clinical safety, consent, licensing and low-bandwidth options for real settings
Protect patient data across GDPR, HIPAA and African and Asian data laws, and run a data protection impact assessment
Turn routine health data into decisions with data-quality checks, the right indicators and dashboards people actually use

Requirements
No coding or technical background needed - every technical idea is explained from first principles.
A computer with a modern web browser and internet access (for the free public demos).
Optional: a spreadsheet app for the costing and dashboard exercises; one optional FHIR exercise uses a command line (a browser alternative is shown).
Curiosity about how technology can improve health care.

Description
This course contains the use of artificial intelligence.

Most digital health projects fail for reasons that have little to do with the technology: strategy, people, data, safety and money were planned apart. This masterclass shows you how to plan them together, from the foundations of digital health to a real implementation in a hospital, a district, a country or a start-up. It is global by design, with cases from the US, UK and Europe, India and Africa, so what you learn works in any health system, including low-resource settings.

Plan, Govern and Scale Digital Health and AI in Any Health System

Created by a physician who designs, builds and implements digital health and AI systems, this course gives you the frameworks, the evidence and the working tools to do the same.

What makes this course different

- Designed and checked by a physician-implementer. Dr. Temesgen Endalew designed the curriculum, shaped and edited every lecture script, selected and checked the evidence, and built the templates and assessments. Most cases are real and cited to peer-reviewed research or official sources.

- Clear, calm delivery - no slide reading. A professional AI voice narrates over picture-led visuals, with accurate English captions written from the script.

- Hands-on, without coding. Guided, step-by-step walkthroughs you repeat yourself on free public demo systems: explore a DHIS2 health information system, tour the OpenMRS open-source EMR, read an HL7 message line by line, search and create synthetic data on a public HL7 FHIR server, and build a district dashboard in a spreadsheet from sample data.

- A complete toolkit. 15 practical templates you can use at work: strategy canvas, requirements template, interoperability checklist, telehealth SOP, DPIA template, AI evaluation scorecard, vendor/RFP checklist, total-cost-of-ownership calculator, go-live checklist and risk register.

- A finished capstone. Step by step, you build your own Digital Health Implementation Plan.

What you will learn

- Digital health foundations - eHealth, mHealth, telehealth and health informatics; the WHO classification of digital interventions; maturity assessment.

- Strategy and governance - how to build a digital health strategy and investment case using WHO frameworks.

- Health information systems - EHR/EMR, HMIS and DHIS2, laboratory, pharmacy, imaging, registries and identity.

- Interoperability - HL7 v2, HL7 FHIR, ICD-11, SNOMED CT, LOINC and OpenHIE, explained without jargon.

- Telemedicine and virtual care - models, clinical safety, regulation, low-bandwidth options and business models.

- mHealth and the frontline - community health information systems, SMS/USSD, offline-first design and WHO SMART Guidelines.

- Data to decisions - data quality, indicators and dashboards that people actually use.

- AI in healthcare - what AI can and cannot do, large language models, AI scribes, how AI fails, and how to read an AI study.

- AI governance and safety - WHO guidance, regulation, an AI evaluation scorecard and safe use of LLMs.

- Privacy, security and ethics - GDPR, HIPAA and data protection laws in Africa and Asia, DPIAs and cybersecurity.

- Implementation from pilot to scale - requirements, procurement, change management, training, go-live and scaling.

- Monitoring, evaluation and sustainability - logic models, evaluation designs, total cost of ownership and financing.

- Careers and leadership - roles, skills and how to move into digital health.

Course format: over 13 hours of video in 152 short lectures (most 4-7 minutes), 14 section quizzes with 106 questions, four practical assignments with model answers, a 60-question final practice test with explained answers, 15 downloadable templates plus a synthetic sample dataset, accurate English captions written from the script, and a Udemy certificate of completion. Lectures that go deeper for clinical or technical learners carry a Clinical or Technical tag, so you can stay or skip. 2026 edition, updated yearly.

Real cases you will study include India's eSanjeevani, a public telemedicine service that passed 500 million consultations in 2026; Babyl, Rwanda's nationwide private telehealth service that halted in 2023 as its parent company collapsed; Uganda's 2012 moratorium on mHealth pilots; England's National Programme for IT, which cost close to GBP 10 billion; a diabetic-retinopathy AI tested in Thai clinics; and a widely used sepsis prediction model that did not hold up in external validation. The rest are teaching scenarios built from common patterns, and each one is labelled as a composite case.

If you want to lead digital health - not just talk about it - enrol now and start building your plan today.

Transparency: Dr. Temesgen Endalew designed and structured this course, chose every case and source, and is responsible for every claim in it. Scripts, slide visuals and quiz and test questions were drafted with AI tools from his outline and sources, then fact-checked against the cited references and edited by him. The lectures are narrated by a professional AI voice.

This course contains a promotion.

Who this course is for
Doctors, nurses, pharmacists, laboratory and public health professionals moving into digital health or informatics roles
Health IT, software, data and product professionals who need to understand how health systems really work
Hospital, ministry and NGO managers responsible for digital health programmes
Digital health founders, consultants and investors who want implementation that lasts
Students of medicine, public health, health informatics and health management
Anyone preparing to lead an EHR, telemedicine, data or AI project in health care

Code:

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