HIPAA-Compliant Telehealth & Clinical AI
Healthcare software carries a burden most software doesn't: the systems we build sit directly between clinicians and patient outcomes, and downtime or a data breach isn't just a technical incident — it's a clinical and legal one. We build HIPAA-compliant telehealth platforms, clinical decision-support AI, and encrypted electronic health record (EHR) systems engineered for the reliability and privacy standards that healthcare demands non-negotiably.
Our clinical AI work focuses on augmenting, not replacing, clinical judgment: diagnostic support agents that surface relevant patient history and flag anomalies for a physician's review, built with explainability and audit trails so every recommendation can be traced back to the data that produced it. We take model transparency in healthcare seriously — a black-box recommendation isn't acceptable when a clinical decision is downstream of it.
Every system we build handles Protected Health Information (PHI) as a first-class security concern from the schema design stage onward: field-level encryption, strict role-based access control, and comprehensive audit logging of every PHI access event. We architect for 99.99% production availability because a telehealth platform going down during a scheduled consultation isn't an inconvenience — it's a missed diagnosis or a delayed prescription.
Every schema is designed around field-level encryption and minimum-necessary access before any feature logic is written.
Diagnostic and decision-support models are built with traceable reasoning paths, so every AI-assisted recommendation can be audited back to source data.
HL7/FHIR-compliant APIs ensure new systems integrate with existing EHR and hospital infrastructure rather than creating another data silo.
Redundant, multi-region deployment architecture is designed to sustain 99.99% uptime for systems where downtime has clinical consequences.
Every PHI access event is logged and monitored in real time, with automated alerting on anomalous access patterns.
We design to HIPAA and HITECH requirements as architectural constraints, not compliance checkboxes — covering the Security Rule's technical safeguards, Business Associate Agreement obligations, and breach notification readiness. Where relevant, we also build toward FDA software-as-a-medical-device (SaMD) considerations for clinical AI tools, and HL7/FHIR standards for safe, structured interoperability with the broader healthcare data ecosystem.
Let's talk with our healthcare engineering specialists.