MedTranscribeAi 🩺✨

Transcribe care. Optimize billing. Get paid faster.

MedTranscribeAi is an AI assistant for clinicians and providers that turns spoken encounters into structured SOAP notes with ICD‑10 suggestions — and (as we roll out) checks payer rules in real time to reduce denials, prevent audits, and improve cash flow.

TL;DR — Why this matters

Healthcare teams lose hours to typing, hunting codes, fixing denials, and chasing audits. We’re building one flow from note → code → claim that’s:

⏱️ Fast: Dictate once; get a ready-to-review SOAP note in 5 minutes.

🎯 Accurate: ICD‑10 suggestions aligned with the note’s content.

✅ Up‑to‑date: Models trained on updated CMS NCD/LCD + commercial payer rules to prevent denials before claims go out.

🔄 Future‑proof: EHR integrations, claims optimization, and compliance insights — all in one place.

App icon

Table of Contents

What problems we solve (today → tomorrow)

1) Documentation drag ✍️

Problem: Providers spend nights and weekends finishing notes. Solution: Phase 1 converts your speech into a structured SOAP note (Subjective, Objective, Assessment, Plan) — with ICD‑10 suggestions — in minutes.

Power feature: Transcription Preferences 🎛️ Every clinician writes differently. Our Transcription Preferences let you “teach” the model how to write your notes:

  • Define prompts for Chief Complaint, HPI, Medications, Allergies, PMH, PSH, Family/Social History, ROS, Objective, Assessment, Plan — and any sub‑sections you use.
  • Choose narrative vs. bulleted styles, required elements, phrasing, and headers.
  • Save per‑provider or per‑group presets.

Example prompt ideas (you’ll set these in the app UI):

Chief Complaint → "Start with CC: and quote the patient’s words."
HPI → "Narrative paragraph covering onset, location, duration, severity, context, modifying factors, associated symptoms."
Medications → "Bulleted list; include drug, dose, route, frequency; mark nonadherence if documented."
ROS → "System-by-system bullets; use 'denies …' for pertinent negatives."
Plan → "Numbered steps; include orders, counseling, follow-up interval."

2) Copy‑paste chaos 🔁

Problem: External dictation tools create notes you still have to paste into the EHR. Solution: Phase 2 integrates with leading EHRs (e.g., Athenahealth, Epic). Pull today’s schedule into the app → pick a patient → dictate → note & codes post back automatically.

3) Denials whack‑a‑mole 💸

Problem: Denial trends are found after rejections — weeks later. Solution: Phase 3 adds a policy-trained engine (CMS NCD/LCD + commercial payers) to check documentation and codes as you chart, suggesting what to add or adjust — so claims pass the first time.

  • Real‑time rule checks: Frequency limits, required modifiers, prerequisite therapies, medical necessity language.
  • Continuously updated: Our models ingest new CMS and payer updates regularly, so manual coders aren’t left chasing rule changes.
  • Outcome focus: Target higher clean-claim rates and fewer resubmits.

4) Audit anxiety & compliance risk 🛡️

Problem: Fraud/Waste/Abuse patterns are caught retroactively. Solution: Phase 4 provides real-time compliance nudges for providers and a dashboard for compliance teams to spot outliers early — reducing clawbacks and protecting reputation.

How it works (high level)

  1. Record in the iOS app (during or after the encounter).
  2. Transcribe & structure into SOAP; review/edit as needed.
  3. Suggest codes aligned with the documentation.
  4. (Phase 2+) Sync to the EHR automatically.
  5. (Phase 3+) Policy check claim logic in real time; add missing elements.
  6. (Phase 4+) Monitor patterns for compliance and quality.

Who it’s for

  • Clinicians who want to finish notes during clinic hours, not after.
  • Billers/Coders who prefer preventing denials to cleaning them up.
  • Practice leaders who want fewer write‑offs, faster cash, and lower audit risk.

What’s shipping now vs. next

  • Now (Phase 1) ✅

    • Real‑time transcription → SOAP
    • ICD‑10 suggestions
    • Transcription Preferences and model tuning to customize note style

  • Next up 🛣️

    • Phase 2: EHR schedule sync & automatic note posting
    • Phase 3: Real‑time claims optimization (CMS LCD/NCD + payer rules)
    • Phase 4: FWA analytics, compliance dashboard, and in‑workflow nudges

See the full roadmap inside the PRD → docs/PRD.md

Security & compliance 🔒

  • HIPAA‑ready design with encryption in transit & at rest.
  • Business Associate Agreement (BAA) during onboarding.
  • Minimal PHI on device; processing in secure cloud.
  • Audit logs currently online in production.

For details, see: docs/legal-compliance.md

Get involved

  • 💬 Questions / pilots: dev@medtranscribe.ai
  • ⭐ Star this repo to follow progress
  • 🧩 Contribute: Open an issue with ideas, edge cases, or integration requests
  • 📄 PRD & specs: docs/PRD.md

Credits & status

Built by a team obsessed with saving clinicians time and helping practices get paid for the care they deliver. If you’re a provider, biller, or compliance lead who wants to shape this, we’d love to hear from you. 🙌

Appendix: Repo map (suggested) 

.
├─ README.md                      # ← You are here (org entry point)
├─ docs/
│  ├─ PRD.md
│  └─ phases/
│     └─ phase-1-transcription.md
│     └─ phase-2-ehr-integration.md
│     └─ phase-3-claims-optimization.md
│     └─ phase-4-fraud-waste-abuse.md
│  ├─ comparative-analysis.md
│  ├─ monetization.md
│  ├─ legal-compliance.md
│  ├─ bug-bounty.md
│  ├─ release-notes.md
│  └─ assets/
│     └─ iOSiconMedTranscribe.png
└─ ...