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Built for the programs you're accountable for
OpenELIS Global is open-source laboratory infrastructure proven at national scale — chosen by ministries and funders for its cost, sovereignty, evidence base, and sustainability, not just its features.
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What it costs — and what's not the catch
OpenELIS is free of licensing fees under the Mozilla Public License. No per-user costs, no annual renewals, no vendor lock-in. Your budget goes to implementation and local capacity — not to a software vendor. And because it's open source and self-hosted, there's no contract to renew and no exit penalty: you can take your system and your data and go, at any time.
The scale of what you're adopting — for free. Building a laboratory system like OpenELIS from scratch would take a large software team the better part of a decade. An independent analysis of the code estimates it represents around 376 person-years of engineering — nearly three-quarters of a million lines of software — the kind of effort that would cost roughly $34 million to reproduce at global salary rates, and as much as $68 million at US rates.
A country adopting OpenELIS inherits all of that, ready to run, without paying to build it or license it — so the budget can go into people, training, and laboratories instead of into software.
Independent estimate; figures vary with assumptions.
Your data stays yours
Data sovereignty
Self-hosted on your infrastructure. Patient and surveillance data never leave your servers or your country — no cloud dependency, no third-party data processor.
No lock-in
Open standards, open source, open exit. FHIR-native data and a documented schema mean you're never trapped in a proprietary format.
Works where you work
Docker deployment on modest hardware, offline-first operation, and tolerance for intermittent connectivity — built for real low-resource settings.
Proven at national scale — and measured
OpenELIS isn't a pilot. It has run national laboratory networks for over a decade across 26+ countries including Côte d'Ivoire, Haiti, Mauritius, Vietnam, and Indonesia. During the COVID-19 pandemic, Mauritius's national system absorbed a 4,000% surge in testing volume and is estimated to have saved ~$4.5M versus commercial alternatives.
And the outcomes are documented in the peer-reviewed literature. A 2024 study in JMIR Public Health & Surveillance examined 21 clinical laboratories in Côte d'Ivoire and found that laboratory data timeliness and completeness improved measurably following OpenELIS implementation — the kind of independent evidence funders and program reviewers look for.
Fits your standards and your architecture
Security & accreditation
Role-based access control, full audit logging, SSO (Keycloak / SAML / OAuth2), encryption at rest and in transit. Designed to support ISO 15189 accreditation and WHO SLIPTA improvement pathways.
National-architecture ready
FHIR R4 native, with proven connections to EMRs (OpenMRS, iSantePlus), DHIS2, SORMAS, and national health information exchanges. Aligned with the OpenHIE / digital-public-goods architecture.
One Health consolidation
Human, animal/vector, and environmental surveillance on one platform — one system to fund, one team to train, one accreditation to maintain instead of three.
Backed to last
The biggest risk with open-source software is abandonment. OpenELIS is stewarded by the Digital Initiatives Group (DIGI), part of the University of Washington's Department of Global Health — so it draws on the full weight of a leading public research university, with expertise spanning medicine, public health, and computer science, and the research rigor to match. It's deployed by ministries of health across 26+ countries and aligned with multilateral partners including WHO and UNICEF, with funding from a range of public-health institutions rather than any single donor. Developed in the open with a public roadmap and continuous releases, it's infrastructure you can build a national program on and expect to be maintained for years to come.
Note: AI-assisted reporting (Catalyst) is on the public roadmap and in active development — a look at where the platform is heading, not a dependency for the value described above.
Evaluating OpenELIS for your country?
We'll walk your team through deployment models, evidence, and total cost of ownership for your context.
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