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LifeDev Digital Health Academy

Digital Health Product & Implementation Programme

Learn how digital health solutions are designed, built, connected and implemented in real health systems.

  • 8-week pathway
  • 11 modules
  • No coding required

Developed by LifeDev Health Technologies

About Course

This is a practical programme covering digital health products, APIs, health data, interoperability, FHIR, AI, privacy, product management and real-world implementation.

Digital health is often taught as a collection of technologies: telemedicine, mobile health, electronic records, artificial intelligence and data. But knowing the terms is different from understanding how a digital health product actually works.

This programme takes you behind the interface. You will learn how teams identify health problems, understand users and workflows, define product requirements, work with APIs and data, think about interoperability and privacy, evaluate AI use cases, and plan implementation within real health systems.

Beyond lessons, you will complete practical exercises and progressively build a capstone project that demonstrates how you would translate a real health or public-health challenge into a digital solution.

What Will You Learn?

  • Turn a health problem into a product concept, with clear users, workflows and requirements.
  • Make a guided API request in Postman and understand the response.
  • Assess health-data quality and choose useful dashboard indicators.
  • Understand interoperability and how HL7 FHIR connects health systems.
  • Evaluate AI use cases, risks, data needs and human oversight.
  • Identify privacy, security, ethics and governance requirements.
  • Plan product priorities, testing, implementation and adoption.
  • Develop a portfolio-ready digital health capstone project.

Join the upcoming cohort

Live cohort sessions begin on . Enrolment is open now to reserve your place.

The learning schedule and access details will be shared by email before the programme begins.

Course Content

11 modules · 68 lessons · Final capstone

Module 1: Understanding Digital Health Beyond the Buzzwords5 lessons
  1. What Digital Health Really Means
  2. Understanding the Health System Before Building Technology
  3. From Health Problem to Digital Solution
  4. The Digital Health Ecosystem
  5. Digital Health in Nigeria and African Health Systems

Practical exerciseAnalyse a health problem and decide where technology could help.

Module 2: How Digital Health Products Are Actually Built5 lessons
  1. From Idea to Digital Health Product
  2. Understanding Users Beyond the Patient
  3. User Research in Healthcare
  4. User Stories, Requirements and Acceptance Criteria
  5. Mapping Healthcare Workflows

Practical exerciseCreate a product concept, user stories and a simple workflow.

Module 3: What APIs Actually Do in Digital Health7 lessons
  1. What Is an API?
  2. APIs Behind Everyday Digital Health
  3. Requests, Endpoints and HTTP Methods
  4. Reading JSON for Health Professionals
  5. Authentication, Tokens and API Access
  6. Hands-On: Your First API Request With Postman
  7. Why Having an API Does Not Mean You Are Interoperable

Practical exerciseMake an API request with Postman and explain the response.

Module 4: Health Data and Health Information Systems6 lessons
  1. How Health Data Moves
  2. Electronic Medical Records, EHRs and Clinical Information
  3. Health Management Information Systems and DHIS2 Concepts
  4. Data Quality: Can We Trust the Numbers?
  5. Dashboards That Support Decisions
  6. Data Governance

Practical exerciseAssess a synthetic dataset and recommend dashboard indicators.

Module 5: Interoperability and FHIR7 lessons
  1. Why Health Systems Do Not Automatically Talk to Each Other
  2. Four Layers of Interoperability
  3. Introduction to HL7 and FHIR
  4. Common FHIR Resources
  5. FHIR APIs and Search
  6. Terminologies: ICD, SNOMED CT and LOINC
  7. Interoperability Use Case: Laboratory Result Exchange

Practical exerciseExplore FHIR Patient and Observation resources and identify integration challenges.

Module 6: AI in Digital Health8 lessons
  1. What AI Means in Healthcare
  2. Machine Learning vs Generative AI
  3. Clinical Decision Support
  4. AI in Diagnostics and Medical Imaging
  5. AI for Public Health
  6. AI-Enhanced mHealth and Wearables
  7. Responsible AI: Bias, Transparency and Human Oversight
  8. Should AI Make This Decision?

Practical exerciseEvaluate an AI use case, its risks and the need for human oversight.

Module 7: Privacy, Security, Ethics and Regulation6 lessons
  1. Why Health Information Requires Special Care
  2. Consent and Purpose
  3. Authentication, Role-Based Access and Auditability
  4. Encryption, Devices and Data Breaches
  5. Ethics and Research Governance
  6. Regulation Across Jurisdictions

Practical exerciseReview privacy, security and ethics for your capstone concept.

Module 8: Implementing Digital Health in the Real World10 lessons
  1. Building Is Not Implementation
  2. Digital Health Readiness Assessment
  3. Stakeholder Mapping
  4. Change Management
  5. Health Workforce Training and Support
  6. Piloting a Digital Health Product
  7. Monitoring Adoption
  8. Measuring Impact
  9. Scaling
  10. Why Digital Health Projects Fail

Practical exerciseCreate a plan for readiness, piloting, training and adoption.

Module 9: Digital Health Product Management8 lessons
  1. Product Strategy
  2. Roadmaps and Prioritisation
  3. Working With Clinicians and Health Stakeholders
  4. Product Documentation
  5. Testing and User Acceptance Testing
  6. Bug Reporting and Issue Management
  7. Feature Releases and Change Communication
  8. Analytics and Product Adoption

Practical exercisePrioritise features, draft a product requirements document and write user acceptance tests.

Module 10: Careers and Opportunities in Digital Health6 lessons
  1. Mapping Digital Health Careers
  2. Building a Digital Health Portfolio
  3. LinkedIn and Professional Positioning
  4. GitHub and Portfolio Tools for Non-Developers
  5. CV Positioning for Digital Health Roles
  6. Finding Internships, Fellowships and Jobs

Practical exerciseBuild a career plan and identify a project for your portfolio.

Module 11: Capstone Project — From Health Problem to Digital Health Solution13 project deliverables

Apply what you have learned to a real or realistic health problem. Your capstone includes:

  1. Problem statement
  2. Users and stakeholders
  3. Current and future workflow
  4. Product concept
  5. Product requirements
  6. Simple wireframe
  7. Data requirements
  8. API/integration requirements
  9. Interoperability approach
  10. Privacy, security and ethics
  11. Implementation strategy
  12. Monitoring indicators
  13. Final presentation

Your final projectBring your work together into a portfolio-ready digital health solution concept, with a five-minute presentation or recorded pitch.

Who Is This Course For?

  • Health & public health professionalsClinicians, public health practitioners, health administrators and health-system managers.
  • Research, data & programme teamsResearchers, M&E specialists, data professionals and programme staff.
  • Product & technology professionalsHealthTech founders, product and project managers, and technologists moving into health.
  • Students & emerging professionalsAnyone exploring digital health, health informatics or a new direction in their health career.

Requirements

  • Basic computer literacy and confidence using a web browser.
  • A computer with reliable internet access for the practical exercises.
  • Ability to install simple applications, such as Postman, when required.

No prior coding experience is required.

Course price: ₦100,000Previous price: ₦250,000
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