| Literature DB >> 31438003 |
Nadin Kökciyan1, Martin Chapman2, Panagiotis Balatsoukas2, Isabel Sassoon1, Kai Essers1, Mark Ashworth2, Vasa Curcin1,2, Sanjay Modgil1, Simon Parsons1, Elizabeth I Sklar1.
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.Entities:
Keywords: Artificial Intelligence; Clinical; Decision Support Systems; User-Computer Interface
Mesh:
Year: 2019 PMID: 31438003 DOI: 10.3233/SHTI190302
Source DB: PubMed Journal: Stud Health Technol Inform ISSN: 0926-9630