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arXiv · 2108.13514

ConVIScope: Visual Analytics for Exploring Patient Conversations

Raymond Li·Enamul Hoque·Giuseppe Carenini·Richard Lester·Raymond Chau
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Abstract

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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Raymond Li, Enamul Hoque, Giuseppe Carenini, Richard Lester, Raymond Chau. 2021-08-30. ConVIScope: Visual Analytics for Exploring Patient Conversations. https://arxiv.org/abs/2108.13514

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