Write code, save lives
OpenMRS (openmrs.org) scores 84 out of 100 on Brand Analyzer, placing it in the Strong Brand tier among Healthcare brands, Technology brands, Non-profit brands, in the 89th percentile of 12137 Healthcare brands.
OpenMRS is an open-source electronic medical records platform founded in 2004, built and maintained by a global community of developers, healthcare providers, and implementers. It is designed to support healthcare delivery in resource-constrained and developing-country settings, offering a free, adaptable alternative to proprietary medical record systems. The platform is used across more than 70 countries, supporting thousands of healthcare facilities and millions of patient records, with a mission centered on improving healthcare through better digital record-keeping.
| Brand Name | OpenMRS |
|---|---|
| Domain | openmrs.org |
| Industry | Healthcare, Technology |
| Founded | 2004 |
| Main Competitors | DHIS2 (87/100), Bahmni (75/100), OpenEMR (78/100), CommCare (79/100), Epic Systems (80/100), Cerner (Oracle Health) (81/100) |
Moz Domain Authority 52/100 vs category average 41 / leader 95 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #192,145 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
OpenMRS has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "Electronic Medical Records built by a Global Community Coming together to write code, save lives. Because better records support better healthcare. Join Us Learn More 3000+ Communi…" (Meta description: 55 words. OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: Microdata (Schema.org), og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: Nginx, WordPress, Ghost, React.
Social footprint: verified profiles on GitHub, X (Twitter), LinkedIn, Facebook, Instagram, YouTube - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked September 2026.
When asked "What is OpenMRS?", Claude could identify the brand as of September 2026. OpenMRS is an open-source electronic medical record (EMR) platform designed originally for resource-constrained health settings, widely used in developing countries to manage patient data. It's a collaborative global community project supported by a nonprofit organization, built Best known for Open-source electronic medical record system used extensively in global health and developing-country healthcare settings.
When asked "Best brands similar to OpenMRS?", Claude would recommend OpenMRS as of September 2026. It's a leading example of open-source health IT infrastructure, especially relevant when discussing EMR solutions for low-resource or global health contexts.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
OpenMRS's main competitors in Healthcare: DHIS2 (87/100), Bahmni (75/100), OpenEMR (78/100), CommCare (79/100), Epic Systems (80/100).
Sources: Brand Analyzer scan
OpenMRS is an open-source electronic medical records (EMR) system built and maintained by a global community of developers, healthcare workers, and implementers. Founded in 2004, it provides a free, adaptable software platform for managing patient health records, particularly in low- and middle-income countries. Unlike proprietary EMR systems, OpenMRS has no license fees or vendor lock-in, allowing healthcare organizations to customize it to local needs. It is described as the world's leading open-source medical records system, used across more than 70 countries to support healthcare delivery in diverse and resource-constrained settings.
Sources: OpenMRS official site
OpenMRS has moderate AI-search visibility, scoring 53/100 on Brand Analyzer's AI visibility composite (visibility 60, trust 30, recommendation 66). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: OpenMRS official site
OpenMRS was founded in 2004. OpenMRS operates in the Healthcare category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
OpenMRS builds and maintains open-source software for electronic medical records, enabling healthcare facilities to digitally capture, store, and manage patient health information. The platform is developed collaboratively by a global community of contributors and is designed to be flexible and adaptable to different healthcare contexts, especially in developing countries. It supports the digitization of patient records to improve the quality and continuity of healthcare delivery, replacing paper-based or fragmented record-keeping systems with a standardized digital infrastructure that facilities worldwide can implement and customize.
Sources: OpenMRS official site
OpenMRS offers an open-source electronic medical records (EMR) software platform designed for healthcare facilities to manage patient health data. The platform is built and maintained collaboratively by a global community and is customizable to meet the specific needs of different healthcare settings, particularly in developing countries. As a free, community-driven system, it functions as a comprehensive medical records infrastructure rather than a suite of separate commercial products, with ongoing development contributions supporting its features and adaptability across diverse implementations.
Sources: OpenMRS official site
OpenMRS scores 66/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Healthcare options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: OpenMRS official site
OpenMRS is known for being the world's leading open-source electronic medical records system, particularly in developing countries and resource-constrained healthcare settings. It is recognized for its global community-driven development model, bringing together thousands of contributors to build and maintain the platform without license fees or vendor lock-in. OpenMRS is also known for its scale of impact, supporting over 8,000 healthcare facilities across more than 70 countries and maintaining more than 15 million patient records, making it a widely adopted standard for digital health records in global health initiatives.
Sources: OpenMRS official site
OpenMRS can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: OpenMRS official site
OpenMRS is used by healthcare organizations, facilities, and providers, particularly in low- and middle-income countries where resource constraints make free, adaptable software valuable. Its user base includes clinics and hospitals managing patient records as well as developers and implementers who customize and maintain the system for local contexts. Global health advocates and organizations working on healthcare infrastructure in developing countries also engage with OpenMRS. The platform currently supports over 8,000 facilities across more than 70 countries, reflecting a broad international user base focused on improving healthcare delivery through digital record-keeping.
Sources: OpenMRS official site
OpenMRS is popular because it offers a free, open-source alternative to costly proprietary electronic medical record systems, eliminating license fees and vendor lock-in. Its flexibility allows healthcare organizations, especially in low- and middle-income countries, to adapt the platform to local healthcare needs and infrastructure constraints. The strength of its global community-over 3,000 members contributing code and support-has helped it become a widely trusted standard, currently used by more than 8,000 facilities in over 70 countries and supporting more than 15 million patient records.
Sources: OpenMRS official site
OpenMRS scores 53/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
OpenMRS has a limited AI-visibility profile at 53/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (66/100) and its weakest is trust (30/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a global traffic rank of #192,145 (Tranco). The main gaps holding it back: thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify OpenMRS from memory (September 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to OpenMRS: OnX (84/100), OneAdvanced (84/100), Optelec (84/100), Optellum (84/100).
A step up - brands to learn from: Zoetis (91/100), theSkimm (91/100).
Category leader: Booksy (96/100).
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