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Research Roundup

Building Foundational Architecture for Interoperable Digital Health Systems

Findings from Digital Health Exemplars’ research on enablers for digital transformation in primary healthcare

Issue 23, June 2025

Issue Overview

In this month’s Digital Health Research Roundup, guest editors  and Chinemerem Eytan from the World Health Organization’s (WHO)  and  from the Center for Global Digital Health Innovation (CGDHI) at the Johns ѻý explore how countries are building interoperable digital health systems to advance digital health transformation in primary healthcare (PHC). Drawing on foundational guidance on digital health architecture from WHO as well as insights from five Digital Health Exemplar countries, this issue highlights practical strategies for advancing person-centered care through open standards, health information exchange (HIE), and investments in resilient system design.

Digital Health Exemplars webinar series

Upcoming Webinar on Interoperable Digital Health Systems

How Do Countries Build And Scale Interoperable Digital Health Systems? 

Brazil, Ghana, India, Finland, and Rwanda are leading the way. Join CGDHI, WHO’s Global Initiative on Digital Health (GIDH), and other digital health leaders for the third webinar in our Digital Health Exemplars series, "Interoperability Models to Drive Digital Health Transformation," on June 25 at 10:00–11:30 am ET. Panelists will engage in a conversation on digital architecture and interoperability models, from foundational to scaled.

Guest Editors’ Remarks:


In May 2025, the 78th World Health Assembly renewed the Member State-endorsed Global Strategy on Digital Health (GSDH) through 2033. The GSDH provides guidance and coordination to countries on essential digital health transformation enablers such as governance, interoperability, and standards. The WHO Managed Network, the , is a vehicle for accelerating the implementation of the GSDH. By aligning efforts and resourcing robust, country-led, digital health architecture, GIDH supports countries’ national digital health transformation journeys, preventing duplication of efforts and promoting local capacity and entrepreneurship. 

animated graphic showing various components of health systems connected to each other

Digital health architecture refers to the design of digital systems that support the delivery of health services in a way that empowers patients, providers, and other health system actors with access to health data. It includes core components such as health management information systems; an interoperability layer and health information exchange for data sharing; foundational Digital Public Infrastructure (DPI) such as digital IDs; and governance and policy structures to facilitate safe use of these digital systems. A 2023 review found most of the COVID-19 digital funding provided by four major funders missed opportunities to strengthen these foundational systems that drive provider and patient-facing applications. By 2024, only 15% of countries had architectures for real-time data exchange. 

The GSDH emphasizes that the path to achieving national interoperability varies widely depending on a country’s local context, including availability of a digital health strategy, governance structures, policy environment, and the maturity of its foundational infrastructure and systems. CGDHI’s Digital Health Exemplars research demonstrates how countries in earlier stages of digital maturity prioritize aggregate data visibility and exchange at district and national levels, before moving to the development of interoperability architecture that prioritizes data sharing across service delivery levels—from community to facility, district, and national levels.

To better understand the complexities of achieving a robust, interoperable digital architecture, several critical questions arise: What concrete steps have countries taken to build and operationalize their interoperability layers? How are these efforts being financed? How long does it take for interoperability to be adopted and scaled? What are the major costs involved? And how do factors like centralized governance or private sector engagement influence key decisions? Ultimately, there is no single pathway to interoperability. Country journeys will be shaped by public–private sector dynamics, financing models, regulatory mandates, and incentive mechanisms, all of which influence how systems are designed, integrated, and scaled.

This Digital Health Research Roundup issue examines these questions—and the broader dynamics shaping interoperability—through insights from five Digital Health Exemplar countries: Rwanda, Ghana, India, Brazil, and Finland. Each offers a distinct perspective on how interoperability is being designed, implemented, and scaled in different health system and policy contexts. We also provide an overview of WHO’s platform for promoting collaboration and knowledge exchange (GIDH) as well as relevant normative tools and guidance.

Foundational Publications on Digital Health Architecture and Interoperability

United Nations Development Programme, The DPI Approach: A Playbook for Building Digital Public Infrastructure, 2023

published by the India G20 Presidency and UNDP offers a practical roadmap for countries to design, implement, and sustain inclusive, interoperable digital systems. It outlines how DPI can accelerate national progress toward the Sustainable Development Goals (SDGs), including health equity.

Key Takeaways:

  1. This UNDP playbook outlines how core infrastructure (such as digital ID, payments, and consent-based data sharing) can be unbundled and repurposed across sectors to strengthen health systems.
  2. DPI implementation demands a shift from closed, siloed systems to open, interoperable ecosystems. Doing so enables integration across health services, reduces duplication, and empowers users with secure, portable digital credentials.
  3. A structured, scoping assessment aligns DPI with national priorities, helping countries map gaps in service delivery and determine where shared digital systems can most effectively support UN SDGs. Sustainable DPI requires robust governance, open-source technology, and diverse financing. Countries like India and Estonia demonstrate how layered public-private architectures can support scale, protect rights, and remain adaptable over time.
Mehl et al., A Full-STAC Remedy for Global Digital Health Transformation: Open Standards, Technologies, Architectures and Content, Oxford Open Digital Health, 2023

outlines how open standards, technologies, architectures, and content (STAC) can drive resilient, country-led digital health transformation. The authors present the full-STAC approach as a remedy to fragmented digital health systems. 

Key Takeaways:

  1. The full-STAC approach promotes digital sovereignty by advocating for public investment in open infrastructure, ecosystem governance, and modular design. Doing so helps shift countries from using digital health technologies constrained by vendor lock-in to locally adaptable, standards-based digital health ecosystems.
  2. Open Standards define how data are structured and exchanged so that different systems can communicate seamlessly. Open Technologies are open-source infrastructure and tools that enable the collection, storage, and use of health data in line with these standards. Open Architectures provide reusable blueprints for connecting system components like registries and services. Open Content consists of validated guidelines, protocols, and workflows that drive consistent clinical and public health decision-making.
  3. Currently being piloted across multiple countries, this framework guides countries in developing national digital health strategies, building core registries and application programming interfaces, and promoting sustainable financing aligned with country-owned digital development roadmaps.
McKinsey Health Institute, Building Interoperable Healthcare Systems: One size doesn’t fit all, 2025

Drawing from MHI’s analysis of various country’s experiences implementing digital health interoperability, outlines a context-driven and flexible strategy to build digital health systems. Such systems will meet countries at their technical, financial, and political levels to enable inclusive and sustainable digital transformation.

Key Takeaways:

  1. Interoperability is key for building efficient, resilient health systems by enabling secure, seamless data exchange across platforms and institutions. When implemented effectively, it supports key health system goals by reducing fragmentation, improving care coordination, and minimizing administrative burden. In Canada, early estimates from 2018 suggested that full adoption of interoperability could generate annual healthcare savings of approximately CA $4 billion (US $3 billion), about 1.6% of total healthcare spending – through fewer duplicate tests, reduced hospitalizations, and greater administrative efficiency. However, actual savings and impact vary widely depending on the context and quality of implementation. More recent research is likely needed to assess the current cost-saving potential of interoperable systems.
  2. Unlocking the benefits of interoperability requires countries to make strategic design choices that extend beyond technical architecture. Research identified three key components – strategic approach, architectural and technical design, and user engagement—broken down into seven key design dimensions. These include decisions on i) governance and operating model, ii) timing and phasing, iii) financing, iv) architecture, data, and infrastructure, v) identification mechanism, vi) adoption, and vii) capability-building.
  3. Some key design dimensions are heavily context-specific and shape a country’s interoperability approach. For example, Canada’s decentralized province-led governance model influences funding, architecture, and the adoption of interoperable tools; Tanzania’s financing model that supplements government funding with donor resources has driven its focus on prioritized use cases and open-source principles; and Estonia's more established architecture and infrastructure, including its national e-ID and the X-Road interoperability layer, has guided its architectural and strategic decisions.
  4. The research identified common challenges in building interoperable health systems and ways countries have addressed them. Governance inefficiencies often occur, but centralized leadership—as with Estonia’s TEHIK (Estonia’s Health and Welfare Information Systems Center)—can streamline decision-making and accelerate interoperability. Financing constraints, especially in less centralized settings, may be addressed by phasing implementation around high-value use cases to build stakeholder support. Harmonizing data standards often involves balancing international standards with national customization to ensure cost-effective and practical implementation. Low provider adoption can be tackled through various policy tools and incentives, such as Tanzania’s data-sharing mandates or Estonia’s IT subsidies. Finally, early investments in human and technical capacity, like Ontario Health’s clinician-led onboarding in Canada and Estonia’s train-the-trainer programs, can support the adoption of tools dependent on interoperability infrastructure or standards.
World Health Organization, Digital Health Platform Handbook: Building a Digital Information System for Health, 2020

provides countries with detailed technical guidance on how to design and implement a Digital Health Platform (DHP), the underlying information architecture supporting robust and interoperable digital health systems.  

Key Takeaways:
  1. When designing a DHP, it is important to assess existing digital maturity, stakeholder landscape, governance structures, and key health priorities before platform development. Country-specific gap assessments are essential for informing system alignment and planning. Design principles include user-centeredness, privacy-by-design, and alignment with digital public goods.
  2. Key components of the DHP architecture are catalogued in detail, including registries, user management, and other data security services, analytics, terminology services, and shared data repositories such as a health record. It supports standards-based data exchange (e.g., HL7® FHIR), modularity, reusability, scalability, and emphasizes open-source tools.
  3. The importance of national leadership, stakeholder coordination, phased roll-out, continuous monitoring, and sustainability planning are underscored. Tools and frameworks are provided to support deployment, evaluation, and long-term integration across health programs.

Overview of Digital Public Infrastructure's Benefits

Digital Public Infrastructure, or DPI, can be foundational for a country's digital health architecture. Encompassing reusable, core components such as digital ID, payments, and consent-based data sharing, DPI offers a sustainable approach for developing a country's digital health systems.

A mind map breaking down the benefits of digital public infrastructure
Resources from WHO and its Managed Network, the Global Initiative on Digital Health

GIDH Normative Tools and Technical Guidance on Digital Health Architecture

  • GIDH Tools that promote Digital Health Architecture: GIDH promotes robust, standards-based digital architecture for national digital health transformation through its four pillars: 1) Country Needs Tracker;  2) Country Resource Portal; 3) Transformation Toolbox, including the ; and 4) Convening and Knowledge Exchange. These various tools inform timely investments aligned with country needs and priorities, complementing the UN-wide Global Digital Compact in its emphasis on DPIs.

 

  • Reference Architecture for Digital Public Infrastructure for Health (DPI-H): WHO and the International Telecommunication Union are developing a . Serving as a foundational framework, it will help countries at various stages of digital maturity to design and implement national digital health architectures aligned with health sector objectives. It will provide a set of reusable components, comprehensive guidelines, technical specifications, and best practices that leverage health-specific DPIs and foundational/cross-sectoral DPIs, enabling countries, especially in low-resource settings, to achieve digital health transformation in a scalable and sustainable manner. By emphasizing people-centered, interoperable building blocks and enabling services across sectors, this approach offers a sustainable alternative to siloed digital development.

 

  • Mapping and Mobilizing Digital Health Infrastructure with REDHI: In March 2025, WHO launched a rapid assessment of the impact of sudden digital health funding freezes and program exits. Initial findings showed major service disruptions across Low- and Middle-Income Countries (LMICs), especially in high-risk health areas like HIV, TB, and RMNCH. The Resilient Essential Digital Health Infrastructure (REDHI) STAC approach proposes a coordinated technical package for creating local digital infrastructure that is resilient to funding fluctuations. This approach:  
    1. assesses current resources and technical infrastructure
    2. coordinates efforts to strengthen national capacity to build and sustain a standards- and digital infrastructure-based local digital ecosystem
    3. anchors this infrastructure through local governance, local digital technology production and support, and sustainable financing. 

GIDH serves as a convening platform to amplify country-articulated and prioritized needs, converge partner efforts, and host this multi-agency effort.

Key Insights from the Digital Health Exemplars Research Project:

A key enabler for achieving digital health transformation is the development of a robust and interoperable digital health architecture. Establishing this infrastructure occurs in stages, progressing from foundational elements to enabling direct patient access to health information (Figure 2). CGDHI’s research across its Exemplar countries—Rwanda, Ghana, India, Brazil, and Finland—identified diverse pathways and approaches to building interoperability architecture. The findings and use cases are presented according to each stage in the progression.

Figure 2: Framework for advancing Health Information Exchange architecture to facilitate patient data access 

Patients' access to their health information is often the ultimate goal for a country's health information exchange (HIE) architecture. To achieve this, foundational building blocks (Stage A)—such as health IDs, payment systems, and facility and provider registries—are typically introduced in both paper and digital formats. Early digitization efforts (Stage B) often begin at the district level, focused on data aggregation and reporting to support health planning. This is followed by expansion to health facilities and community-based systems (Stage C). As the HIE grows and interoperability standards are adopted, the system progresses toward enabling direct patient access to health information (Stage D). This evolution takes place alongside broader efforts to strengthen the digital health ecosystem. As interoperability advances and the national HIE matures, improvements in health coverage, access, quality, and system efficiency can be realized through better coordination and continuity of care.

Framework for advancing Health Information Exchange architecture to facilitate patient data access

Findings on digital transformation activities occurring throughout HIE development

Innovation and Experimentation:

The journey to mature digital health systems occurs within an environment of ongoing experimentation (Fig. 2), often beginning with testing of new technologies to assess value and user receptivity. Although early fragmentation is unavoidable and is sometimes (rightfully) criticized as “pilotitis,” well-designed pilot projects play a critical role in offering practical implementation experiences, familiarizing users with new systems, and mobilizing the resources needed to build robust, interoperable digital infrastructure for effective data exchange and use.

Rwanda: A mix of locally-developed and donor-supported interventions

In countries with emerging digital health maturity like Rwanda, digital health systems often comprise a mix of locally-developed and donor-supported interventions, frequently built on open-source platforms like DHIS2. These implementations offer valuable lessons about the foundational, developmental, and scaling requirements for effective digital health adoption. Rwanda’s journey—from early systems such as TracNet, OpenMRS, and RapidPro to more centralized electronic medical record systems (e.g., eBuzima, eFiche, and Medisoft)—reflects a broader shift from standalone electronic registries and trackers toward integrated, interoperable electronic health record systems that support continuity of data and care. 

Finland: Establishment of the national HIE layer known as Kanta

In digitally-mature countries like Finland, the shift from paper-based systems to electronic health records began in 1994 with its first national digital health strategy. By the early 2000s, various electronic health and patient record system designs were piloted across health centers and hospitals. In 2002, an initiative to promote nationwide interoperability led to the 2007 establishment of the national HIE layer known as Kanta. As Kanta has expanded, healthcare startups and innovators are increasingly using Kanta’s sandbox environment to test the interoperability of new digital health applications (e.g., BeeHealthy, the mobile digital health platform launched by Mehiläinen, one of the largest private healthcare providers in Finland). 

Strengthening of the Enabling Ecosystem: 

As the value of digitization of health services is established, this evolution must be underpinned by a strong enabling ecosystem (Fig. 2). Sustained investments in infrastructure, legislation, workforce capacity, governance, and data standards are essential to support the scale-up and long-term sustainability of interoperability use cases.

India: National Digital Health Blueprint developed

The Ayushman Bharat Digital Mission (ABDM), the public health program leading India’s digital health transformation efforts, developed the National Digital Health Blueprint to guide the development of a unified digital infrastructure aligned with national health priorities, prioritizing interoperability in its design. Clear governance structures, particularly the National Health Authority, play a central role in overseeing and implementing the ABDM across Indian states, ensuring coordination and accountability at the national level.

Brazil: Strong national programs and governance

Strong national programs and governance have been central to Brazil’s digital health transformation, including the development of its national health information exchange, the HIE layer, RNDS. The creation of SEIDIGI, the digital health governance body within the Ministry, has been pivotal in advancing digital health transformation. Most notably, the launch of the SUS Digital program in 2024 assists municipalities and states with improving their digital health infrastructure and capacity.

Finland: Strong government investment and legislation

The successful implementation of Kanta (Finland’s HIE) has been driven by strong government investment, legislation mandating EHR compliance across the public and private sectors, and targeted support for workforce training—particularly in smaller healthcare organizations. Capacity-building efforts include online webinars and peer mentoring for both providers and patients. Furthermore, universities and research institutions play a key role in evaluating user experience through national eHealth surveys and leveraging Kanta data for research to support the secondary use of health data. 

Findings on each stage in the development of an interoperable Health Information Exchange

The findings shared below correspond to each step (A-D) in the framework for advancing Health Information Exchange architecture, as shown in Figure 2 above.

Stage A – Foundational Data Building Blocks

The journey toward mature digital systems starts with the development of key paper and digital foundational building blocks—such as unique health IDs, digital payment systems, and national health registries. ALL Exemplar countries have implemented unique patient identifiers as well as built health facility and/or provider registries as outlined below. 

  • Rwanda: The National Identification Number serves as a unique identifier linking individuals’ health data with civil registration and vital statistics. It also enables citizens to access a range of public services—such as health insurance, birth certificates, and marriage licenses—through the national eGovernment platform, Irembo.
  • India: The ABDM ecosystem builds on existing digital public infrastructure in India, which includes JanDhan bank accounts, AADHAAR (national citizen identifier), and mobile connectivity. This ecosystem seeks to build unique health IDs, health professional registries, and facility registries, which can be used to identify unique clients and exchange health data across facilities.
  • Finland: Finland’s national patient identity number (henkilötunnus), established in the 1960s, enables the seamless exchange of patient data across electronic health records. The national healthcare professional register, introduced in the 1990s, provides a system for verifying the registration status of healthcare and social welfare professionals. 
Stage B: Aggregate Data for Improved Data Visibility, Reporting, and Planning

In the early phases of digital health maturation, digitization may be limited to district-level data aggregation and reporting systems, used primarily for health reporting, planning, and decision-making to support aggregate data analytics and visibility at the national level. 

  • Rwanda and Ghana: Both countries use centralized Health Management Information Systems (HMIS) built on the DHIS2 platform to collect, aggregate, and analyze health data. These systems operate at the national and district levels, respectively, and are designed to support evidence-based planning, service delivery, and monitoring. They require relatively lower infrastructure and training, and are primarily used by national health authorities to manage data from health facilities across the country.
  • India: The National Health Mission - Health Management Information System (NHM-HMIS) portal in India collects data from over 225,000 health facilities which is aggregated and used at the sub-district, district, state and national levels. HMIS captures facility-level service delivery and infrastructure data to conduct gap analysis and support evidence-based planning.
  • Brazil: Similarly, there are many national-level health information systems that aggregate data from the subnational levels. One example is the aggregation of PHC facility data into SISAB, Brazil’s national PHC-focused health information system. These data generate key performance indicators of PHC, which are used to inform evidence-based planning and decision making as well as financing to municipalities.
  • Finland: Before the launch of Kanta (HIE), regional health information exchange (RHIE) systems were introduced in the 2000s to replace paper-based methods and facilitate data sharing within regions. The success of these regional and national data exchanges was enabled by Finland’s decades-long use of national health registers (e.g., vaccination and primary care registers), and more recently, clinical quality registers (e.g., diabetes data quality register) introduced in 2018. Using these registers–a key digital health architecture component–enabled the systematic monitoring of healthcare quality as standardized data were transformed into insights on outcomes and interventions.
Stage C: Facility and Community-level Health Information Systems for Improved Continuity of Patient Care

As the enabling environment for digital health transformation strengthens, digitization extends beyond centralized, aggregated systems to encompass health facilities and community-based services. In more digitally advanced settings, the development of a health information exchange (HIE)—supported by unique patient identifiers, health registries, standardized data policies, and strengthened provider capacity—further accelerates progress. These elements enhance data exchange, improve access to health information, and promote continuity of care. Collectively, they bring health systems closer to the ultimate goal: empowering individuals with access to their own health data.

  • RwandaEpi-Tracker, Rwanda’s electronic immunization registry, uses DHIS2 software to collect, aggregate, and integrate data within its HMIS. Unique birth ID numbers enable integration with the existing Civil Registration and Vital Statistics system.
  • IndiaNextGen eHospital is a cloud-based EHR that serves as a centralized, longitudinal digital repository of patient information. The system integrates 12 modules that cover key hospital workflows, including outpatient and inpatient departments, billing, laboratory, radiology, and pharmacy. NextGen eHospital supports AI-enabled clinical decision support and tele-radiology, adhering to global health data standards such as FHIR, DICOM, LOINC, SNOMED CT, and ICD-10.
  • BrazilAs part of the e-SUS APS strategywhich digitized PHC care coordination and provided a freely available EHR for municipalities to adopt amongst public facilities,PHC EHR data are integrated into the national HIE (RNDS) through use of informational models, leveraging FHIR-based APIs and requisite standards (i.e., ICD-10, SNOMED).
  • Finland: The Kanta Patient Data Repository is a centralized system that stores and manages patient data—such as medical records, prescriptions, and lab results—from multiple EHR systems. Its Prescription Services component handles all prescription data and renewals, with 100% of Finnish pharmacies using the ePrescription system. Supported by national coding standards, FHIR-based APIs, and clinical terminologies, Kanta ensures seamless health information exchange across all public and private healthcare providers, even during care transitions. Finland’s early adoption and continual adaptation of international standards such as HL7® FHIR and ICD-10 have also been critical to advancing interoperability across levels of care and health services.
Stage D: Direct Patient Access to Health Information for Patient-Centered Care

Patient access to their health information is often the ultimate goal of a country’s HIE—not only to foster transparency, trust, and continuity of care across providers and settings, but also to empower individuals to actively manage their health.

  • Brazil: MeuSUSDigital (or MySUSDigital) is a patient, provider, and manager-facing application that facilitates access to health information. Initially launched in 2020, it pulls relevant information from across the health system through RNDS, the HIE layer. Health information exchanged by RNDS currently includes clinical history, vaccination data and certificates, test results, medications, position in transplant queues, among others. There are efforts underway to expand what is integrated into RNDS as well as what is accessible on MeuSUSDigital.
  • Finland: MyKanta Pages is a patient-accessible platform built in 2010 to provide a detailed summary of a person’s prescription data, lab results, medical procedures and diagnoses, imaging studies, and vaccinations. Finland is also currently updating the Kanta Personal Health Record, to enable patient-side input and management of their personal health data, and to link to client-facing health and well-being apps. Sandbox testing environments support the integration of any new digital health tools with Kanta, subject to compliance with Kanta specifications. 

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About the Global Initiative on Digital Health:

As a WHO-Managed “Network of Networks”, the Global Initiative on Digital Health, or GIDH, coordinates global efforts and  supports countries and their diverse members in planning and implementing digital health transformation. Through various tools and guidance, GIDH  promotes transparency in financing, investment in robust ecosystem foundations, consistent and locally-appropriate application of standards, and equitable access to national digital health transformation. 

GIDH WHO logo

Meet Our Guest Editors:

Headshots of the four guest editors for this research roundup

, Unit Head, Digital Health Systems, Digital Health and Innovation, World Health Organization. Dr. Mehl leads research on digital health innovations at WHO. He leads evidence synthesis and guidelines development through the WHO Technical and Evidence Review Group on mHealth for Reproductive, Maternal, Newborn and Child Health (mTERG), and is co-lead of the Health Data Collaborative Working Group on Digital Health and Interoperability that focuses on supporting country-level investments into standards-based digital health information systems.

Chinemerem Eyetan is a consultant in the Digital Health and Innovation Department at WHO. She supports the development of normative digital tools, coordinates market-shaping initiatives, and leads work on reference architecture for digital public infrastructure (DPI) in health. Her expertise derives from over 20 years in clinical pharmacy services, public health, government policy, the medical device industry, and digital health. For the past 14 years, she has specialized in clinical informatics and the integration of clinical knowledge into digital health product development. 

supports strategy and partnerships for WHO’s Department of Digital Health and Innovation and is the Technical Lead for its Global Initiative on Digital Health. Melissa has 13 years’experience managing and coordinating implementation and resource mobilization for programs in digital- and community health, information management for emergency response and CRVS- and clinical trial digitalization. Prior to joining WHO, Melissa worked with UNICEF in the African region, with global programs in the private sector andwith Plan International and Transparency International on CRVS and anti-corruption in global health.

, MSPH, is a Researcher with the Johns Hopkins Center for Global Digital Health Innovation. Her interest primarily lies in the intersection of digital health and PHC, and the use of data to generate evidence for health decision-making. Her research areas include health systems transformation, community-based health information systems, maternal mortality estimation, and digital health.