Doctor-Patient Consultation

AudioEnglishUrduCustom
2-channel
Speaker separation
EN + UR
Languages
Clinical
Domain flow
PHI-reviewed
Privacy
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Clinical consultation dialogues between doctors and patients, captured for medical ASR, scribe, and summarization models.

Role-played and consented clinical consultations between doctors and patients in English and Urdu, covering intake, symptom history, examination, and guidance. Conversations follow realistic clinical flow so scribe and summarization models learn the structure of a real visit.

Every session is collected from paid contributors with signed consent, transcribed and reviewed by domain-aware native speakers, and screened for protected health information and PII before delivery.

Highlights

  • Realistic doctor and patient dialogue across intake, history, exam, and guidance
  • English and Urdu, with frequent code-switching captured as it occurs
  • Speaker-separated audio with role-labeled, timestamped transcripts
  • Optional section labels: chief complaint, history, assessment, and plan
  • PHI and PII reviewed and redacted before delivery

Scenario coverage

Common primary-care and outpatient scenarios across general medicine. Coverage extends to specific specialties, languages, or visit types on request.

Sample consultation types
General check-upSymptom intakeFollow-up visitChronic-condition reviewPrescription guidanceLab-result discussionLifestyle counselingReferral discussion

Capture and format

Stereo WAV at 16 kHz or higher, one speaker per channel, recorded in low-noise environments. Sessions are segmented into utterances and time-aligned to transcripts.

Annotations

Role-labeled, timestamped transcripts as standard, plus optional clinical-section labels and terminology tagging on request.

Provenance

  • Paid contributors with signed consent
  • Domain-aware native-speaker transcription and review
  • PHI and PII reviewed and redacted before delivery
  • Per-recording audit trail and licensable usage rights

Use cases

  • Medical ASR and ambient clinical scribe models
  • Consultation summarization and SOAP-note generation
  • Healthcare voice-agent and triage development
  • Clinical terminology and code-switching research
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