HIPAA LLM + ambient speech to text

    AI medical scribes and clinical documentation, built HIPAA first

    We build ambient AI scribes, note summarisation and clinical documentation copilots that save US clinicians hours a day, without shipping PHI to a public model.

    $65,000 to $220,000 14 to 24 weeks
    Get a fixed fee proposal
    Quick answer

    UZ Technologies builds custom AI clinical documentation products for US health systems and digital health startups: ambient scribes, discharge summary generation, note structuring, ICD-10 and CPT suggestion. We use HIPAA compliant LLMs (AWS Bedrock, Azure OpenAI with BAA) and never train on customer PHI. Typical build $65,000 to $220,000.

    Who this is for

    • Health systems fighting clinician burnout
    • Specialty groups (primary care, cardiology, behavioral health)
    • Digital health startups building an AI scribe SKU
    • Payers building clinical review automation

    What we build

    Ambient capture

    Room audio capture on iOS, Android and web with live consent prompts.

    HIPAA LLM stack

    AWS Bedrock (Claude, Llama), Azure OpenAI or self hosted, all under BAA.

    Structured note output

    SOAP, HPI, ROS, PE, A/P with clinician editable diffs.

    EHR write back

    SMART on FHIR write to DocumentReference or vendor specific note endpoints.

    Coding suggestions

    ICD-10, CPT, HCC suggestion with evidence links back to the transcript.

    Audit and safety

    Full transcript retention policy, PHI redaction options, clinician override log.

    Compliance we engineer for

    HIPAA with signed BAA on the model provider
    SOC 2 aligned
    State AI healthcare rules (CA, NY, CO)
    FDA SaMD if diagnostic claims are made

    Stack

    Python
    Node.js
    AWS Bedrock
    Azure OpenAI with BAA
    Whisper / Deepgram HIPAA
    React
    PostgreSQL + pgvector

    Outcomes you can expect

    1-2 hrs

    Typical clinician time saved per shift on documentation

    BAA

    Executed with every LLM and STT provider, no exceptions

    0

    PHI used to train foundation models, ever

    Ranges reflect typical US engagements. Actual results depend on scope, payer mix, data quality and product maturity.

    Free · US Edition · 2026

    The HIPAA-Ready Healthcare Software Buyer's Kit

    60-question vendor scorecard, 2026 US cost and timeline benchmarks, BAA red-flag clauses and the full US compliance stack (HIPAA, HITECH, ONC, CMS Interoperability, SOC 2, state privacy laws).

    Frequently asked questions

    AWS Bedrock (Anthropic Claude, Meta Llama, Amazon Titan), Azure OpenAI, Google Vertex AI with a signed BAA, and OpenAI Enterprise / Zero Data Retention with BAA. We help you pick based on your data residency and clinical performance needs.

    Other healthcare software we build

    Building a ai clinical documentation and ambient scribes product?

    Share your brief and a senior US healthcare engineer responds within 1 working day with a fixed fee proposal and BAA draft.

    Start your project