Teenva AI & Digital Ventures builds clinical documentation AI for hospitals, clinics, telehealth platforms, and EHR vendors from Bangalore, India. After an in-person or video consult—or from structured clinician input—Teenva drafts SOAP notes, visit summaries, and discharge instructions from audio transcription and your templates, with mandatory provider review and sign-off before anything enters the legal medical record.
Copy-paste from ChatGPT into the EHR creates liability and hallucinated findings. Teenva delivers ambient scribe pipelines, specialty templates, and EHR export—with clinical governance distinct from patient-facing FAQ and appointment scheduling. Distinct from medical FAQ (patient info) and patient scheduling (appointments). Parallel craft to meeting intelligence and AI document processing—with clinical governance.

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Clinical documentation AI—transcription, structured drafts, and EHR export with provider sign-off.
Hub: AI solutions · Domain: Healthcare
Documentation types we support
| Document | Typical source | Clinician action |
|---|---|---|
| SOAP / progress note | Consult audio + vitals form | Edit → sign |
| History & physical (scoped) | Admission interview audio | Section-by-section approve |
| Discharge summary | Stay timeline + final round audio | Attending sign-off |
| Referral letter draft | Visit summary + template | Specialist edits |
| Procedure note (scoped) | Structured checklist + short audio | Confirm facts |
| Patient instructions (scoped) | Plain-language from signed note | Nurse review |
| Telehealth visit note | Video session audio | Same review flow |
Does not autonomously diagnose, prescribe, or sign the chart—licensed provider owns the record.
How ambient documentation works
| Step | Description |
|---|---|
| Capture | Room mic, headset, or telehealth audio—with consent per policy |
| Transcribe | Medical ASR; English, Hindi (scoped); diarization doctor/patient |
| Structure | LLM maps to SOAP sections using your template |
| Facts check (scoped) | Vitals, meds, allergies from EHR API—not invented |
| Draft UI | Highlight low-confidence spans for clinician edit |
| Sign & export | Push to EHR as draft or final per integration |
| Audit | Audio retention TTL, edit diff, model version |
Templates vary by specialty—GP, ortho, psych (scoped), dental (scoped)—not one generic note.

Governance & clinical safety
| Control | Implementation |
|---|---|
| Provider-in-the-loop | No auto-finalize to legal record (default) |
| Hallucination mitigation | Prefer EHR facts; flag unsupported statements |
| Medication & allergy | Pull from EHR when integrated; never invent doses |
| ICD/CPT suggestions (scoped) | Suggestions only—coder/clinician confirms |
| Break-glass audit | Who viewed, edited, signed, exported |
| PHI encryption | At rest and in transit; regional deployment |
| Consent | Patient notification for recording per your policy |
| Regulatory alignment (scoped) | HIPAA, DISHA, MCI guidance—your compliance program |
Teenva is a technology vendor; clinical validity and medico-legal responsibility stay with your clinicians and facility.
Features we implement
Ambient scribe app
Web/desktop capture during consultUpload audio
Post-visit dictation MP3/WAVTemplate engine
Specialty SOAP, dental, physio (scoped)EHR integration (scoped)
FHIR DocumentReference, HL7, custom API via API integration servicesEHR sidebar (scoped)
Draft note inside existing workflowMulti-provider practice
Role-based access, department templatesTelehealth embed
Pair with video platform audio stream (scoped)Quality metrics
Time saved, edit distance, sign rateRedaction (scoped)
Mask third-party names in teaching filesWhite-label (scoped)
For healthtech SaaS product development

EHR via API integration services. White-label via SaaS product development.
Architecture
Consult audio (ambient, telehealth, upload) + optional EHR context
Medical ASR + diarization
LLM structuring → SOAP / discharge JSON per template
Merge verified EHR fields (meds, allergies, vitals)
Clinician review UI (edit, reject sections)
Sign → export to EHR / PDF
Audit log + optional de-identified quality dataset (opt-in scoped)

- No public LLM training on your PHI without explicit agreement (scoped)
Use cases by setting
| Setting | Documentation focus |
|---|---|
| Outpatient clinic | Faster SOAP; less evening charting |
| Hospital ward (scoped) | Daily progress + discharge |
| Telehealth startup | Visit note in same session flow |
| Dental / physio chains (scoped) | Procedure-specific templates |
| Clinical research (scoped) | De-identified transcript for QA only |
| EHR vendor | Scribe module embedded in product |

Clinical documentation vs sibling products
| Product | Focus |
|---|---|
| Clinical documentation AI | Clinician charting from consult |
| Medical FAQ chatbot | Patient admin FAQ |
| Patient scheduling AI | Appointments |
| Meeting intelligence AI | Business meetings—not clinical templates |
| AI document processing | Operational docs—not SOAP |
The chart is a legal document. We design for edit, attest, and audit—never silent auto-sign to the EHR.
Why Teenva AI
Provider workflow
Review UI built for busy clinicians, not generic chatHealthtech delivery
Custom EHR/telehealth + scribe togetherIndia context
Hindi/English consults, high outpatient volumeOps-grade pipelines
ASR + structured extraction from document AI experienceClear scope
Assistive documentation; no autonomous clinical decisions

Custom EHR/telehealth · Document AI experience.
Delivery process

Discovery
Specialties, EHR, consent model, compliance contacts
Template workshop
SOAP sections per specialty with clinical lead
ASR eval
Sample consults in your acoustic environment
Pilot providers
5–10 clinicians; measure edit time vs baseline
EHR integration (scoped)
Draft export to sandbox
Governance sign-off
Medical director + IT security
Production
Phased rollout by department
Training
When to re-record; how to fix drafts
Monitor
Edit distance, sign latency, incident reports
Explore
Frequently asked questions
Default no—clinician must review and sign.
Reduces burden; many sites keep humans for complex cases—your staffing model.
No—documentation assist only; clinical decisions remain with provider.
- Custom/FHIR/HL7 via API integration (scoped)—discovery required.
We implement security controls; BAA and compliance attestation are your program (scoped).
ASR + note in English or bilingual sections (scoped) with provider review.
- Similar ASR pipeline—different clinical templates, governance, and EHR export. See meeting intelligence AI.
- Use medical FAQ chatbot—separate bot and data.
De-identification and IRB are your process (scoped).
12–16 weeks MVP—ASR, one template, review UI; EHR adds 4–8 weeks.
Related healthcare AI solutions
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