mlsanityData to 7 Oct 2026

PriMock57: A Dataset Of Primary Care Mock Consultations

arXiv 2204.00333 ↗First posted 1 Apr 2022cs.CLcited by 30

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Abstract (arXiv)

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.

Key facts. Cited by 30 papers in the map (data through 7 Oct 2026). Builds on 19 of its 47 references that are in the map. First posted on arXiv 1 Apr 2022.

Builds on

19 of 47 references.

References · 19

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  6. 2016Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyondcited by 809
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7 more
  1. 2021Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversationscited by 42
  2. 2019Topic-aware Pointer-Generator Networks for Summarizing Spoken Conversationscited by 41
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 3; 2023: 5; 2024: 3; 2025: 8; 2026: 11.

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  1. 2023ACI-BENCH: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generationcited by 116
  2. 2024The Sound of Healthcare: Improving Medical Transcription ASR Accuracy with Large Language Modelscited by 17
  3. 2023A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarizationcited by 14
  4. 2023UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations?cited by 14
  5. 2022User-Driven Research of Medical Note Generation Softwarecited by 13
  6. 2025We Should Evaluate Real-World Impactcited by 12
  7. 2023The timing bottleneck: Why timing and overlap are mission-critical for conversational user interfaces, speech recognition and dialogue systemscited by 9
  8. 2022Consultation Checklists: Standardising the Human Evaluation of Medical Note Generationcited by 8
  9. 2024LLM-based speaker diarization correction: A generalizable approachcited by 8
  10. 2023WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Modelscited by 7
  11. 2024Improving Clinical Note Generation from Complex Doctor-Patient Conversationcited by 7
  12. 2026Generating Synthetic Doctor-Patient Conversations for Long-form Audio Summarizationcited by 4
18 more
  1. 2022GDPR Compliant Collection of Therapist-Patient-Dialoguescited by 2
  2. 2025MedSynth: Realistic, Synthetic Medical Dialogue-Note Pairscited by 2
  3. 2025WER is Unaware: Assessing How ASR Errors Distort Clinical Understanding in Patient Facing Dialoguecited by 2
  4. 2026TriageSim: A Conversational Emergency Triage Simulation Framework from Structured Electronic Health Recordscited by 2
  5. 2026MedMosaic: A Challenging Large Scale Benchmark of Diverse Medical Audiocited by 2
  6. 2025A Typology of Synthetic Datasets for Dialogue Processing in Clinical Contextscited by 1
  7. 2025FactsR: A Safer Method for Producing High Quality Healthcare Documentationcited by 1
  8. 2025A Text-To-Text Alignment Algorithm for Better Evaluation of Modern Speech Recognition Systemscited by 1
  9. 2025Understanding Zero-shot Rare Word Recognition Improvements Through LLM Integrationcited by 0
  10. 2025"Where does it hurt?" -- Dataset and Study on Physician Intent Trajectories in Doctor Patient Dialoguescited by 0
  11. 2026Multimodal Hidden Markov Models for Persistent Emotional State Trackingcited by 0
  12. 2026A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Taskscited by 0
  13. 2026When Multiple Scripts Matter: Evaluating ASR in Clinical Settingscited by 0
  14. 2026Clinical Communication Processing with Models Trained on LLM-Generated Synthetic Data: A Structured Survey and Novel Application Case Studiescited by 0
  15. 2026Agentic-DuplexGen: Decoupling Content, Timing, and Acoustics for Synthetic Dialogue Speechcited by 0
  16. 2026Speech-to-SOAP: End-to-End Summarization of Medical Dialogues: KIT@BeTraC 2026cited by 0
  17. 2026One note in three: a verified census of three deployed AI scribes, and the instrument that counted itcited by 0
  18. 2026MedWER: A Reproducible, Model-Free Evaluation Protocol for Medical Speech Recognitioncited by 0