{"title":"MyHealthToday: Helping Patients with their Healthschedule Using a 24-Hour Clock Visualization","authors":"Robin De Croon, Bruno Cardoso, K. Verbert","doi":"10.1109/ICHI.2017.32","DOIUrl":null,"url":null,"abstract":"We propose a variation on the 24-hour clock visualization to represent daily health schedules. The area inside the clock is used to display a graph network which helps patients explore and understand the rationale for each health-related scheduled task, such as taking medication. We investigate whether this visualization can be leveraged to increase patient comprehension of personal health schedules. Two low and one high-fidelity prototype have been designed and evaluated. Participants in our study included both general practitioners and patients. Results are promising and indicate that our visualization can be an effective means to explore and understand health schedules. Moreover, our results suggest there is an actual need for visual exploration of health schedules. Finally, participants perceive that our proof-of-concept provides useful feedback and can help both patients and physicians to discuss and explore health schedules.","PeriodicalId":263611,"journal":{"name":"2017 IEEE International Conference on Healthcare Informatics (ICHI)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Healthcare Informatics (ICHI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICHI.2017.32","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We propose a variation on the 24-hour clock visualization to represent daily health schedules. The area inside the clock is used to display a graph network which helps patients explore and understand the rationale for each health-related scheduled task, such as taking medication. We investigate whether this visualization can be leveraged to increase patient comprehension of personal health schedules. Two low and one high-fidelity prototype have been designed and evaluated. Participants in our study included both general practitioners and patients. Results are promising and indicate that our visualization can be an effective means to explore and understand health schedules. Moreover, our results suggest there is an actual need for visual exploration of health schedules. Finally, participants perceive that our proof-of-concept provides useful feedback and can help both patients and physicians to discuss and explore health schedules.