PriMock57: A Dataset Of Primary Care Mock Consultations

Aleksandar Savkov; Alex Papadopoulos Korfiatis; Francesco Moramarco; Radmila Sarac

PriMock57: A Dataset Of Primary Care Mock Consultations

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arxiv 2204.00333 v1 pith:OBZTFJPM submitted 2022-04-01 cs.CL

Alex Papadopoulos Korfiatis , Francesco Moramarco , Radmila Sarac , Aleksandar Savkov This is my paper

classification cs.CL

keywords datasetaccessautomaticcareconsultationconsultationsprimarytranscripts

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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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