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A Comparison Between Clinical Guidelines and Real-World Treatment Data in Examining the Use of Session Summaries: Retrospective Study

A Comparison Between Clinical Guidelines and Real-World Treatment Data in Examining the Use of Session Summaries: Retrospective Study

Second, since the session transcripts are unstructured data, we developed a treatment-oriented, speaker diarization ML model in accordance with their utterances in the treatment session. A team of trained graduate-level clinicians tagged over 2500 therapy conversations and labeled the speakers as either “patient” or “therapist.” These data were consequently used in a model that analyzed the full transcribed session and assigned a speaker label for each participant.

Shiri Sadeh-Sharvit, Simon A Rego, Samuel Jefroykin, Gal Peretz, Tomer Kupershmidt

JMIR Form Res 2022;6(8):e39846