PriMock57: A Dataset Of Primary Care Mock Consultations

TL;DR

PriMock57 is a publicly available dataset of 57 simulated primary care consultations with audio, transcripts, and notes, aimed at advancing research in medical conversational ASR and note generation.

Contribution

This work introduces PriMock57, a novel high-quality dataset for clinical speech research, addressing privacy concerns and enabling benchmarking.

Findings

Dataset includes audio, transcripts, and notes for 57 consultations

Demonstrates use of dataset for benchmarking medical ASR and note generation

Facilitates research without compromising patient privacy

Abstract

Recent advances in Automatic Speech Recognition (ASR) have made it possible to reliably produce automatic transcripts of clinician-patient conversations. However, access to clinical datasets is heavily restricted due to patient privacy, thus slowing down normal research practices. We detail the development of a public access, high quality dataset comprising of57 mocked primary care consultations, including audio recordings, their manual utterance-level transcriptions, and the associated consultation notes. Our work illustrates how the dataset can be used as a benchmark for conversational medical ASR as well as consultation note generation from transcripts.