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Connecting Health Systems. Advancing Digital Health.

We explore, develop, and test digital health technologies that help health systems exchange information, work together, and deliver more connected care.

Health records, registries, DHIS2, mobile apps, terminology and identity systems connected through a shared interoperability layerSHARED STANDARDSInteroperabilityHealth recordsRegistriesDHIS2Mobile appsTerminologyIdentity

Why the lab exists

Technology That Connects Healthcare​

Most health services already rely on digital systems — for patient records, immunization, programme reporting and community outreach. But those systems are usually built separately, by different teams, to different designs. Each one works on its own; together, they rarely do.

When systems cannot exchange information, people fill the gap: re-entering data, carrying paper between services, and reconciling reports that should have matched. Care becomes harder to follow from one service to the next.

The Health Technology & Interoperability Lab is a practical space for working on that problem — exploring, developing, integrating and testing the standards and technologies that let health systems work together, and sharing what we learn.

Areas of work

What the Lab Works On​

Six connected areas, from the standards that define how data is exchanged to the security and validation that make an integration trustworthy.
  • Health Interoperability

    Standards-based data exchange between health information systems, so information recorded in one place can be used safely in another.

    • FHIR R5 APIs
    • Integration patterns
    • Interoperability workflows
  • Standards & Terminology

    Shared data models and vocabularies that let systems agree on what a record means, not only on how it is sent.

    • FHIR implementation guides
    • Data models
    • Code systems
    • Value sets
    • Terminology mapping
  • Health System Integration

    Connecting the platforms health services already depend on, rather than replacing them.

    • Electronic health records
    • DHIS2
    • Mobile applications
  • Testing & Validation

    Checking that an integration behaves as specified before it is relied on — repeatably, with evidence.

    • API testing
    • Profile validation
    • Data quality checks
    • Integration testing
    • Reproducible scenarios
  • Digital Health Security

    Making sure connected systems share only what they should, with the right people, and leave a record of it.

    • Identity & access
    • Consent-aware access
    • Privacy
    • Security testing
    • Auditability
  • AI & Emerging Technologies

    Careful, practical experimentation with AI and automation where it can support health workers and health systems.

    • Responsible AI
    • Decision support
    • Automation
    • Experimentation

Standards & Interoperability Lab

Standards and Interoperability Lab (SIL)​

The SIL supports the adoption of data exchange standards in the development, testing and implementation of health systems — so systems built by different teams can work together, and digital health can scale on shared foundations.

Objectives

  • Provide a shared platform for adopting health data standards such as HL7 FHIR, IHE profiles and the OpenHIE architecture.
  • Enable real-world testing of digital health solutions by government programmes, developers and implementing partners in a trusted sandbox.
  • Help align digital health implementations with national guidelines and global standards, for sustainability, compliance and scale.
  • Support a community of practice for peer learning and alignment across health information teams.
  • Build technical capacity to design, deploy and maintain standards-based digital health systems.

The SIL works in three ways

  • Capacity Building

    Structured, practical training for developers, implementers and public institutions in digital health standards, architecture and compliance readiness.

  • Solution Testing

    A sandbox for validating digital health solutions against standards such as HL7 FHIR, OpenHIE and IHE profiles before they go live.

  • Ecosystem Engagement

    Convening developers, health programmes and partners to share learning and agree on how health data should be exchanged.

Components of the programme

  • Teaming

    A community of practice supporting peer learning and alignment across teams and organizations.

  • Tooling

    Shared testing infrastructure and interoperability toolkits that any team can reuse.

  • Testing

    A sandbox environment for structured validation of digital health solutions.

  • Training

    Blended online and in-person learning, organized in modules tied to real digital health use cases.

Sandbox · in preparation

The SIL sandbox is being prepared

Public access will be published here once the sandbox is live. Teams can request early access now, or start with the public tools below.

Public tools you can use today

Third-party services, not operated by Amakomaya.

Use cases & testing themes

  • Maternal & child health data exchange

    Following a mother and child across community, facility and reporting systems.

  • Disease surveillance

    Timely, standards-based case reporting from facilities to public health programmes.

  • Health worker & facility registries

    Shared master lists so every system refers to the same people and places.

  • Client record sharing

    Making a client’s record available, with consent, wherever they seek care.

Desired outcomes

  • Better care through seamless data exchange between services
  • Stronger public health surveillance built on interoperable systems
  • Local capacity for standards-based implementation and support
  • More digital health innovation built on shared foundations
  • An inclusive ecosystem that supports equitable access to care

Approach

How the Lab Works​

Each piece of work moves through the same cycle, so what is built is grounded in a real need, tested against it, and documented for the next team.
  1. Step 01: Explore

    Identify health system challenges and integration requirements.

  2. Step 02: Design

    Define workflows, standards, architecture, and data models.

  3. Step 03: Integrate

    Develop and connect systems using appropriate standards and APIs.

  4. Step 04: Validate

    Test interoperability, data quality, security, and expected behavior.

  5. Step 05: Learn & Improve

    Document findings, share reusable resources, and improve implementations.

Technology ecosystem

The Technologies We Work With​

Interoperability depends on many layers working together. These are the categories of standards, systems and tools the lab engages with.
  1. Interoperability standards

    The exchange formats and APIs systems use to talk to each other.

    • HL7 FHIR R5
  2. Health information systems

    The platforms where health data is recorded, managed and reported.

    • DHIS2
    • Electronic health records
  3. Terminology

    Shared vocabularies that keep coded data consistent across systems.

    • Open Concept Lab
    • Clinical terminology standards
  4. Identity & security

    Who can access what, on whose behalf, and how that is verified.

    • OAuth 2.0
    • OpenID Connect
    • Keycloak
  5. Validation & development

    The tooling used to build integrations and prove they behave correctly.

    • FHIR validators
    • API testing
    • Automated testing
    • Integration tools
  6. AI & data

    Using health data well — and using new techniques responsibly.

    • Responsible AI
    • Analytics
    • Data quality

Projects & demonstrations

Work in Progress​

The lab's first areas of practical work. Each will be documented with its scope, the technologies involved and, where possible, a demonstration or source code.
  • Illustration
    Details coming soon

    Interoperability in Practice

    Worked examples of health information systems exchanging data through standard interfaces — showing the integration pattern, not just the endpoint.

    Focus

    • HL7 FHIR
    • REST APIs
    • Integration patterns
  • Illustration
    Details coming soon

    FHIR Standards & Validation

    Profiles, terminology and validation approaches for checking that FHIR R5 resources conform to the rules an implementation depends on.

    Focus

    • FHIR profiles
    • Implementation guides
    • Validators
  • Illustration
    Details coming soon

    Connected Maternal Health Systems

    Exploring how maternal health information can follow a woman across community, facility and reporting systems.

    Focus

    • Maternal health
    • HL7 FHIR
    • DHIS2

Resources & knowledge

A Growing Resource Library​

Documentation, guides, learning material and reusable assets for developers and health information teams — published here as the lab's work matures.
  • In preparation

    Implementation guides

    Profiles, extensions and conformance rules for specific use cases.

    Resources will be listed here as they are published.

  • In preparation

    API documentation

    Endpoints, authentication and example requests.

    Resources will be listed here as they are published.

  • In preparation

    Tutorials & learning

    Step-by-step material for developers and health information teams.

    Resources will be listed here as they are published.

  • In preparation

    Research publications

    Papers, reports and findings from lab work.

    Resources will be listed here as they are published.

  • In preparation

    Test datasets & examples

    Synthetic data and example implementations for testing — never real patient data.

    Resources will be listed here as they are published.

  • In preparation

    Open-source repositories

    Code the lab publishes for reuse.

    Resources will be listed here as they are published.

Collaboration

Let's Build More Connected Health Systems.​

Have a health technology challenge, an interoperability project, or an idea worth testing? Let's explore how we can work together.

Open to collaboration with

  • Health technology developers
  • Health facilities and health information system teams
  • Universities and researchers
  • Government and development partners
  • Digital health innovators