Build an AI Symptom Checker App Like Ada Health

We can build the technology platform with equivalent capabilities: adaptive symptom assessment flows, NLP-powered intake, probabilistic condition ranking, triage classification, multi-language support, EHR integration, and white-label branding. What we don't replicate is Ada's proprietary medical knowledge base, which was curated by in-house clinicians over 15+ years and validated through clinical studies. Your platform needs its own clinical content, authored and governed by qualified medical professionals. We build the technology that hosts and delivers that content.

In most markets, yes. An AI application that provides condition suggestions and triage recommendations is typically classified as Software as a Medical Device (SaMD). In the EU, Ada Health holds CE marking as a Class IIa medical device under MDR. In the US, the FDA regulates SaMD through 510(k), De Novo, or PMA pathways. The UK requires MHRA registration. Classification depends on the intended use, the output type, and the clinical claims made. We design the architecture around your regulatory strategy from the first sprint - because classification drives architecture, not the other way around.

No - and any responsible engineering partner will be explicit about this. Medical content (disease-symptom relationships, prevalence data, triage protocols) must be authored, reviewed, and governed by qualified clinical professionals. We build the clinical content management system that supports versioning, review workflows, and the audit trail your regulatory submission requires. Your clinical team - or a separately commissioned medical content partner - provides the clinical knowledge. This boundary is what makes the platform safe and the regulatory pathway tractable.

Industry data puts a full AI health assessment platform (iOS + Android + web + admin + EHR integration) at $90,000-$180,000 for the technology build, with 15-25% annual maintenance. Actual cost depends on the complexity of the reasoning engine, number of languages, EHR integration scope, and regulatory documentation requirements. Clinical content development and regulatory certification are separate workstreams with their own costs. We scope the technology build after discovery and recommend partners for the clinical and regulatory elements you'll need alongside it.

The technology platform typically takes 4-8 months depending on feature scope and integration complexity. However, the total time to market includes clinical content development (ongoing), clinical validation studies (months to a year or more depending on scope), and regulatory submission and review (varies by jurisdiction - FDA De Novo can take 12+ months). We can phase the build so the platform is ready before clinical validation completes. Most teams underestimate the regulatory timeline; we discuss it in the first conversation.

Yes - and without EHR integration, you've built a consumer wellness app instead of a clinical tool. We integrate with Epic, Cerner, Allscripts, and other EHR systems through FHIR R4, HL7 v2, and Smart on FHIR. Assessment results flow into the patient record so the consulting physician sees a structured symptom history before the patient arrives. Every integration is mapped during discovery, and we work with your IT team's existing connectivity infrastructure.

The intended use and the clinical claims. A wellness app that provides general health information without condition-specific suggestions typically falls outside medical device regulation. An application that suggests probable conditions and recommends urgency levels is SaMD in most jurisdictions. The FDA's January 2026 guidance clarified the boundaries. The distinction matters because it determines your regulatory obligation, your liability, and your path to market. We help you define the intended use precisely - because vague intended use leads to unclear classification, which stalls submissions.

HIPAA-compliant architecture with encryption in transit and at rest, PHI access controls, audit logging, BAA-eligible cloud services, and consent management. GDPR compliance for EU markets. Our own operations are ISO/IEC 27001:2022 certified. For healthcare, security isn't a feature - it's a regulatory precondition. We design for HIPAA and GDPR from the data model upward, not as a layer added before launch.

Yes. We build multi-language symptom assessment supporting 50+ languages with medically accurate terminology. This matters more in healthcare than in any other domain - a patient who can't describe their symptoms in the system's language receives degraded triage. Medical translation quality is verified against clinical terminology standards, not generic translation benchmarks.

Those are excellent options, and for some health systems they're the right call. License when you want speed to market, standard features, and don't need deep customisation. Build when your clinical workflow is genuinely specific, you need full control over the reasoning engine, your regulatory market requires a proprietary submission, or you want to own the IP as a product rather than depend on a vendor's roadmap. We'll tell you honestly which scenario you're in - and if licensing is the answer, we'll say so.