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arXiv · 2204.00333

PriMock57: A Dataset Of Primary Care Mock Consultations

Alex Papadopoulos Korfiatis·Francesco Moramarco·Radmila Sarac·Aleksandar Savkov
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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.

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Alex Papadopoulos Korfiatis, Francesco Moramarco, Radmila Sarac, Aleksandar Savkov. 2022-04-01. PriMock57: A Dataset Of Primary Care Mock Consultations. https://arxiv.org/abs/2204.00333

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