Ambient Scribe Data Set
Ambient Scribe Dataset to Train Multilingual Healthcare AI Models
What’s included:
- 199 physician-patient conversations
- Audio, transcription, and summary for each encounter
- Languages: English (UK), Spanish, French, German, Dutch
- Specialties: General Medicine, Psychiatry, Cardiology, OBGYN, Oncology, and more
- Visit types: Routine checkups, new patients, follow-ups, referrals, and medication reviews
APPLICATIONS
Training ambient scribe model
Healthcare speech-to-text and summarization tools
Fine-tuning clinical nlp and llms
Multilingual EHR document assistants
Prototype agentic workflows for coding
Benchmark ambient scribe model accuracy across specialties
WHY LEADING AMBIENT SCRIBE COMPANIES CHOOSE IMERIT
At iMerit, our Supervised Fine-Tuning solutions integrate expert domain knowledge, structured workflows, and precisely labeled datasets to refine and optimize your models for your unique applications.
Expert-Led Healthcare Data Labeling
Clinical transcription, summarization, translation, and medical coding performed by trained domain experts — not generic crowd workers.
Multilingual Medical Data
Experience delivering healthcare transcription datasets in 26 languages, including regional dialects and culturally accurate expressions.
Cross-Specialty Coverage
We’ve labeled data across radiology, behavioral health, cardiology, oncology, pathology, and more.
Ambient AI Model Support
Our workflows are built to support real-time scribe models, LLMs, and agentic AI, from audio ingestion to medical coding and post-visit summaries.
HIPAA-Compliant & Secure
Our platform meets the highest standards: HIPAA, ISO 27001, SOC 2, and regional GxP compliance. On-prem deployment available.
Smart Tools + Human Expertise
Custom workflows with model-in-the-loop, reasoning chains, and tiered QA ensure the most valuable and accurate ambient scribe training data.
CASE STUDY
AMBIENT SCRIBE BRINGS EFFICIENCY TO PATIENT VISITS
Letting Doctors Focus on Patient Care
To improve model performance, iMerit’s specialized medical teams began by listening to doctor/patient conversations and validating ASR transcriptions of clinical encounters. Once validated, iMerit language specialists would extract and summarize clinical information from transcripts like initial diagnoses, previous medical history, patient medications, courses of action, and scheduled visits.
DOCTOR HOURS SAVED WEEKELY
ANNUAL HOURS SAVED PER DOCTOR
PROVIDER BURNOUT REDUCTION
