AI MVPs for healthcare. Built around HIPAA, not bolted onto it.
Downshift ships production-grade AI products for telehealth, patient engagement, clinic operations, and care coordination, with HIPAA, BAA, and audit logging baked into the architecture from day one.
The healthcare engineering wall
Healthcare founders move fast on the clinical side and stall on the engineering side. Auth that does not understand SSO from a hospital identity provider. Storage that has not been BAA'd with the cloud vendor. AI features that send PHI to a third-party API without a signed agreement. The product looks fine in a demo and dies the moment a covered entity asks for documentation.
Generic dev shops treat HIPAA like an afterthought. They build the product, then bolt on a checklist before launch. The right approach is the inverse: design the data model, the auth, the logging, and the AI surface around HIPAA from the first commit. Anything else is rework waiting to be billed.
What we build for healthcare founders
Specific product types Downshift has shipped or is set up to ship in healthcare.
Telehealth and virtual care
Video visits, asynchronous messaging, intake flows, and patient apps. Built on infrastructure that signs BAAs and supports audit logs by default.
Patient engagement apps
Mobile and web experiences for adherence, education, post-visit follow-up, and chronic care. Multi-channel messaging without putting PHI on the wrong wire.
Clinic operations and ops AI
Front-desk workflows, scheduling, eligibility checks, prior auth, and AI-assisted documentation. Reduce the admin tax that drives clinician burnout.
Care coordination
Multi-stakeholder portals (patient, provider, payer, family) with role-based access, audit trails, and event-driven workflows that survive real care timelines.
Provider-facing AI tooling
Note generation, chart summarization, decision support. PHI never leaves the BAA perimeter; outputs reviewed by humans before they hit the chart.
Health data integrations
FHIR, HL7, SMART on FHIR, EHR partner integrations. The plumbing that turns a startup pilot into something a health system can actually deploy.
What healthcare engineering means at Downshift
Architectural decisions, not checklists. Each item changes how the product is built from the first week.
- BAA-signed cloud, storage, and AI providers (we use the agreement, we do not just claim coverage)
- PHI segregation in the data model and the API boundary; least-privilege access by default
- Audit logging on every read and write of PHI from day one
- Encryption in transit and at rest, key management, access reviews
- AI surfaces that route PHI only through BAA-covered models and providers
- SSO and MFA support for hospital identity providers
- Documentation packets ready for procurement, security questionnaires, and pen tests
Related Downshift work
AI front desk for auto body shops. Same pattern Downshift applies in healthcare: domain-specific intake, AI scoring, instant action, and infrastructure built around the regulated workflow.
Read the case studyHealthcare questions
Are Downshift's healthcare builds HIPAA-compliant?
How fast can a healthcare MVP ship?
Can you integrate with our EHR?
What about AI in healthcare?
Build your healthcare MVP
Read the engagement options, then book a strategy call. The Public Build path is selective and free of cash cost for founders willing to work in the open.
Build with Downshift
$30K MVP, $50K Venture Build. Fixed scope, fixed price.
See servicesApply to Build Publicly
Free, selective. Built in the open, founder keeps 100% ownership.
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