HIPAA-aware engineering for clinical, payer, and digital health teams.
We build AI in healthcare where a clinician stays in the loop: documentation, clinic workflows and the EHR integrations that make them usable.
Our healthcare build is the AI medical scribe for CureMD. Ambient listening drafts coded SOAP notes (ICD-10, CPT, RxNorm) and queues orders once the note is signed, and the clinician reviews and signs every note before orders go out. Per the published case study, it reached 98% clinical note accuracy, drafts notes in under 15 seconds and covers 30+ specialties.
For AI for healthcare teams and clinics more broadly, we connect to your EHR over FHIR or HL7, keep audit logs and least-privilege access from the first sprint, and work inside your compliance program rather than around it.
Healthcare software development company building EHR integrations, clinician apps and AI clinical tools to your HIPAA requirements, like CureMD's scribe.
AI automation services that plug into your CRM, inbox, Slack and store. We automate one business workflow, measure it, then scale what works for your team.
AI integration services for products you already run: LLM features, generative AI content, in-app assistants and MCP servers, typically in 3 to 5 weeks.
CureMD case study: an ambient AI medical scribe inside an EHR that drafts coded SOAP notes in under 15 seconds with 98% clinical note accuracy.
Cross-linked taxonomy: the same engagement viewed from a different axis.
The most practical uses are clinical documentation (ambient scribes that draft notes), coding suggestions, triage of inbound patient messages, and paperwork such as referrals and prior authorisation drafts. Our own build is the CureMD AI medical scribe, where the clinician reviews and signs every note.
Usually one workflow at a time: intake forms, appointment reminders, inbox triage or note drafting, connected to the EHR the clinic already uses. Staff review anything that reaches a patient record, and the first pilot is scoped so the clinic can measure it against how the work is done today.
Compliance depends on how the system is built and operated, not on the model alone. Building HIPAA-aware means business associate agreements with any vendor that handles patient data, audit logs, least-privilege access and data minimisation, and we design for those from the first sprint. Your compliance team signs off before anything goes live.
A focused pilot on one workflow typically runs 2 to 6 weeks; a full clinical product takes months. The drivers are EHR integration depth and how much clinical review the workflow needs.
No. In what we build, the AI drafts and the clinician decides. In the CureMD scribe, orders are only queued after the clinician reviews and signs the note.
30-minute scoping call, then a written proposal. No vendor decks, no sales theater.