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.
翻译：移动健康短信的泛滥正在产生大量病人-医生对话,对保健专业人员来说可能极为宝贵。我们介绍了ConVIScope,这是一个视觉文本分析系统,在分析病人-医生对话时,将交互式可视化与自然语言处理紧密结合起来。ConVIScope是在以用户为中心的迭接设计后与保健专业人员合作开发的。与6名领域专家的案例研究表明ConVIScope的潜在用途,并揭示了进一步发展的经验教训。
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