Bria Clinical AI: Ambient scribe, coding assistance and clinical risk prediction

Ambient AI clinical scribe with clinician sign-off — Claude primary LLM

+$38.40/mo at 20 practitioners. Free instant access, no credit card required.

Works with

Electronic Health Record

Bria Clinical AI in the Bridge HMS Suite: Ambient scribe, coding assistance and clinical risk prediction

Your providers, your prompts, your privacy rules

Register the AI providers you trust, write the scribe templates per specialty, and set redaction rules that strip names, phone numbers and IDs before any text leaves the hospital.

What's inside

Everything in Bria Clinical AI

44 items in 9 areas, every one shipping with the app today.

Encounter Recording & Capture
- Encounter recording recordsEach clinician-patient encounter is captured as a recording record with patient, clinician, encounter reference, audio URL and MIME type.
- Auto-numbered recordingsEvery recording gets a unique sequential reference (AI/ENC/...) from a dedicated numbering sequence at creation.
- 8-language + auto-detect supportRecordings can be tagged English, Swahili, French, Arabic, Zulu, Yoruba, Hausa, Amharic or auto-detect for transcription.
- Automatic duration trackingEncounter duration in seconds is computed and stored from start and end timestamps.
- Patient consent flagA consent-recorded checkbox documents that the patient agreed to being recorded before AI processing.
- Retention date controlA retain-until date on each recording supports data-retention policy enforcement.
AI Note Drafting (Scribe)
- One-click SOAP drafting via ClaudeA Draft SOAP action calls the Anthropic Messages API (claude-sonnet-4-5 default) with the transcript and an active SOAP template to generate the note.
- Configurable model parametersTemperature, max tokens and system/user prompts come from the selected template and provider, sent verbatim in the API request.
- Graceful stub fallbackIf no API key or active SOAP template is configured, a deterministic offline SOAP stub is generated so the workflow never blocks.
- Error-safe API handlingHTTP errors and exceptions are caught, logged on the task with the message, and marked failed without ever raising to the user.
- Real-time cost accountingInput/output token usage from each API response is converted to USD cost using built-in per-model Anthropic pricing tables.
- Latency measurementEvery LLM call records wall-clock latency in seconds on its task for performance monitoring.
Clinical Workflow & Sign-off
- 8-stage encounter workflowRecordings move through Recording, Uploaded, Transcribing, Drafting, Draft Ready, Clinician Reviewing, Signed Off and Discarded with a statusbar.
- Stage-aware workflow buttonsMark Uploaded, Start Transcription, Mark Draft Ready, Sign Off and Discard buttons appear only in valid states.
- Separate transcription and LLM statusesIndependent pending/in-progress/completed/failed statuses track speech-to-text and note-generation pipelines.
- Clinician sign-off gateAn explicit highlighted Sign Off action closes the human-in-the-loop review before the note is final.
- Human edit audit logEach edit is logged with editor, timestamp, field changed, original vs new text, edit distance and accepted-AI flag for HITL benchmarking.
AI Task Ledger & Monitoring
- Per-call scribe task recordsEvery LLM or transcription job creates a task record linking recording, provider and template with full prompt and response text.
- Task lifecycle statesTasks track queued, running, succeeded, failed, canceled and retrying statuses with start/finish timestamps and retry counts.
- Prompt/response/error inspectionTask form shows the exact prompt sent, the raw response and any error message in separate tabs.
- Automatic failed-task retryEvery 5 minutes, failed tasks are retried automatically, up to 3 times.
- Task cost and token analyticsPivot and graph views break down cost, prompt tokens and completion tokens by provider and status.
Usage Quotas & Cost Control
- Per-provider usage quotasQuota records track requests made vs limit, tokens in/out and total USD cost per provider per period.
- Automatic daily usage aggregationA nightly check rolls up yesterday's tasks per provider into quota rows (requests, tokens, cost), creating or updating as needed.
- Automatic quota threshold alertingAn hourly check posts an alert to the history once usage crosses the configurable threshold percentage (default 80%) and marks it sent.
- Cost pivot analysisA pivot view slices total USD cost by provider and period for spend review.
AI Provider Registry
- Multi-vendor provider catalog11 provider types: Anthropic Claude, OpenAI GPT, Azure OpenAI, Google Gemini, AWS Bedrock, Ollama, llama.cpp, Whisper local/API, Deepgram, Azure Speech.
- Capability routingEach provider declares a capability (transcription, summarization, coding/billing, translation, dictation, multimodal) used to pick the right engine per job.
- PHI-safe (BAA/DPA) flagProviders can be marked PHI-safe when a Business Associate or Data Processing Agreement exists, with a search filter to find them.
- Rate limits and defaults per providerRequests-per-minute, temperature, max tokens, model name, endpoint and region are configurable per provider each with a unique code.
- Key-never-stored designProvider records carry only an API-key-configured boolean; the actual secret lives in system parameters, never on the record.
- 8 pre-seeded providersShips Claude Sonnet 4.5, Claude Opus 4.1, GPT-4o, Azure OpenAI (HIPAA), Gemini 2.5 Pro, Bedrock Claude, Whisper API and Deepgram Nova-3 Medical.
Prompt Template Library
- Prompt template engineTemplates pair a system prompt with a user prompt that takes the transcript and the patient's details, plus per-template temperature and max tokens.
- 8 note output formatsTemplates target SOAP note, HPI only, discharge summary, operative note, referral letter, admission note, progress note or structured data.
- 15 medical specialtiesTemplates scope to General, Paeds, OB/GYN, Surgery, ICU, Emergency, Cardio, Onco, Derm, Psych, Ortho, Uro, MCH, HIV/ART and TB.
- 10 ready-made clinical templatesShips SOAP, HPI, Discharge, Operative Note, Referral, Admission, Progress, Paeds SOAP, OB/GYN SOAP and a strict structured-data extractor with anti-hallucination prompts.
- Per-template redaction requirementA requires-PHI-redaction flag marks templates whose input must be de-identified first.
PHI Redaction & Privacy
- Rule-based PHI redaction engineRedaction rules combine regex, named-entity or list-lookup matching with custom replacement text and drag-to-order sequencing.
- 9 PHI classes coveredRules target patient name, DOB, MRN, phone, email, address, SSN, national ID or all PHI.
- Severity tiers and language scopingEach rule is Required, Recommended or Optional and can be limited to any of 8 languages or auto.
- 12 pre-seeded redaction rulesShips US SSN, Kenya national ID, Nigeria NIN, Kenyan and E.164 phone, email, two DOB formats, MRN, street address, credit card and person-name NER rules.
- PHI-redacted flag on recordingsRecordings carry a redacted boolean so downstream users can see whether de-identification was applied.
More in this app
- The note writes itself while you talkTalk to EHR answers questions about the patient with the source of every fact; the consultation is recorded with consent and the AI scribe turns it into a structured SOAP draft the doctor reviews and signs — nothing reaches the record unsigned.
- What the AI did, and what it costRecordings, scribe sessions, tasks and usage in pivot and graph by doctor, department and month — adoption, acceptance of drafts and spend on one screen, ready to export to Excel.

Works with

What Bria Clinical AI works with

Bria Clinical AI shares one database with the rest of the Bridge HMS Suite and BridgeERP: these are the apps it already talks to, with nothing to buy in between.