HealthTalks - A Mobile App to Improve Health Communication and Personal Information Management

João M. Monteiro, C. Lopes
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引用次数: 5

Abstract

A patient»s health literacy has a direct impact on their health, but more than a third of the USA population has "basic" or "below basic" levels of health literacy. An individual»s wellbeing is also affected by the communication with their physician, as the use of technical terminology may hinder the patient»s understanding. A patient»s ability to, later on, recall or retrieve helpful information could reduce these comprehension problems and this can be improved by a good management of personal health information. To help overcome some of these problems, we created HealthTalks, a mobile app that empowers the patients, easing their daily health tasks and self-care ability. It does so by recording the audio of a medical appointment, transcribing its dialogue, giving more information about medical concepts employed, and allowing information associated with medical appointments to be easily managed by the patient. Usability tests were conducted with elderly people, ranging from the icons used to the general user experience. Results were very positive, with users accomplishing most tasks successfully and often with the least amount of clicks. We also evaluated the speech recognition software used, Google Cloud Speech API, reaching an error rate of 12 percent in medical texts.
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健康对话-一个移动应用程序,以改善健康沟通和个人信息管理
患者的健康素养对其健康有直接影响,但超过三分之一的美国人口的健康素养水平为“基本”或“低于基本”水平。个人的健康也会受到与医生沟通的影响,因为使用技术术语可能会阻碍患者的理解。患者日后回忆或检索有用信息的能力可以减少这些理解问题,并且可以通过对个人健康信息的良好管理来改善这一点。为了帮助克服这些问题,我们创建了一个名为HealthTalks的移动应用程序,赋予患者权力,减轻他们的日常健康任务和自我护理能力。它通过记录医疗预约的音频、转录其对话、提供有关所使用的医疗概念的更多信息以及允许患者轻松管理与医疗预约相关的信息来实现这一目标。可用性测试是在老年人中进行的,范围从使用的图标到一般的用户体验。结果是非常积极的,用户成功地完成了大多数任务,而且通常点击次数最少。我们还评估了使用的语音识别软件,谷歌云语音API,在医学文本中达到了12%的错误率。
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