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arxiv: 2108.13514 · v1 · pith:4OPN3QKCnew · submitted 2021-08-30 · 💻 cs.HC · cs.CL

ConVIScope: Visual Analytics for Exploring Patient Conversations

Raymond Li (1) , Enamul Hoque (2) , Giuseppe Carenini (1) , Richard Lester (3) , Raymond Chau (3) ((1) Department of Computer Science , University of British Columbia , (2) School of Information Technology , York University
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(3) Department of Medicine University of British Columbia)
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classification 💻 cs.HC cs.CL
keywords conviscopeconversationshealthpatient-doctorprofessionalstextvisualamount
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The proliferation of text messaging for mobile health is generating a large amount of patient-doctor conversations that can be extremely valuable to health care professionals. We present ConVIScope, a visual text analytic system that tightly integrates interactive visualization with natural language processing in analyzing patient-doctor conversations. ConVIScope was developed in collaboration with healthcare professionals following a user-centered iterative design. Case studies with six domain experts suggest the potential utility of ConVIScope and reveal lessons for further developments.

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