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一种用于管理慢性病的协作式决策支持工具。

A Collaborative Decision Support Tool for Managing Chronic Conditions.

作者信息

Kökciyan Nadin, Chapman Martin, Balatsoukas Panagiotis, Sassoon Isabel, Essers Kai, Ashworth Mark, Curcin Vasa, Modgil Sanjay, Parsons Simon, Sklar Elizabeth I

机构信息

Department of Informatics, King's College London, London, United Kingdom.

Department of Population Health Sciences, King's College London, London, United Kingdom.

出版信息

Stud Health Technol Inform. 2019 Aug 21;264:644-648. doi: 10.3233/SHTI190302.

Abstract

This paper describes work to assess the feasibility of using a decision support tool to help patients with chronic conditions, specifically stroke, manage their condition in collaboration with their carers and the health care professionals who are looking after them. The system contains several novel elements: the integration of data from commercial wellness sensors, electronic health records and clinical guidelines; the use of computational argumentation to track the source of data and to resolve conflicts and make recommendations; and argumentation-based dialogue to support interaction with patients. The proposed approach is implemented as an application that can run on smart devices (e.g. tablets). The users have personalised dashboards where they can visualise their health data and interact with a conversational chatbot that provides further explanations about their overall well-being.

摘要

本文介绍了一项工作,旨在评估使用决策支持工具帮助慢性病患者,特别是中风患者,与他们的护理人员以及照顾他们的医疗保健专业人员合作管理病情的可行性。该系统包含几个新颖的元素:整合来自商业健康传感器、电子健康记录和临床指南的数据;使用计算论证来跟踪数据来源、解决冲突并提出建议;以及基于论证的对话来支持与患者的互动。所提出的方法被实现为一个可以在智能设备(如平板电脑)上运行的应用程序。用户拥有个性化的仪表盘,在那里他们可以可视化自己的健康数据,并与一个对话聊天机器人进行交互,该聊天机器人会对他们的整体健康状况提供进一步的解释。

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