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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 of 57 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.</abstract>
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%0 Conference Proceedings
%T PriMock57: A Dataset Of Primary Care Mock Consultations
%A Papadopoulos Korfiatis, Alex
%A Moramarco, Francesco
%A Sarac, Radmila
%A Savkov, Aleksandar
%Y Muresan, Smaranda
%Y Nakov, Preslav
%Y Villavicencio, Aline
%S Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F papadopoulos-korfiatis-etal-2022-primock57
%X 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 of 57 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.
%R 10.18653/v1/2022.acl-short.65
%U https://aclanthology.org/2022.acl-short.65
%U https://doi.org/10.18653/v1/2022.acl-short.65
%P 588-598

Markdown (Informal)

[PriMock57: A Dataset Of Primary Care Mock Consultations](https://aclanthology.org/2022.acl-short.65) (Papadopoulos Korfiatis et al., ACL 2022)

• PriMock57: A Dataset Of Primary Care Mock Consultations (Papadopoulos Korfiatis et al., ACL 2022)

ACL

• Alex Papadopoulos Korfiatis, Francesco Moramarco, Radmila Sarac, and Aleksandar Savkov. 2022. PriMock57: A Dataset Of Primary Care Mock Consultations. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 588–598, Dublin, Ireland. Association for Computational Linguistics.