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Self-reflective visualizations of patient-centered health information systems

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dc.citedby2
dc.contributor.authorVisvalingam A.en_US
dc.contributor.authorDhillon J.S.en_US
dc.contributor.authorGunasekaran S.S.en_US
dc.contributor.authorHoe A.C.K.en_US
dc.contributor.authorid57195904526en_US
dc.contributor.authorid7003949854en_US
dc.contributor.authorid55652730500en_US
dc.contributor.authorid56105282800en_US
dc.date.accessioned2023-05-29T07:31:03Z
dc.date.available2023-05-29T07:31:03Z
dc.date.issued2019
dc.descriptionmHealth; Soft computing; Visualization; Wearable technology; Websites; Graphical representations; Health care costs; Health information systems; Health informations; Health monitoring; Health monitoring devices; Self-reflective visuals; Web-based applications; Medical computingen_US
dc.description.abstractPatient-centered systems have great potential to empower patients to take proactive actions in preventing or managing serious diseases and health problems and they can help to reduce healthcare costs. Commonly, these applications are equipped with visuals or graphical representations that enable users to comprehend their health progress. In this paper, we review and analyze the different types of health information visuals that are presented in popular self-monitoring applications and devices, i.e. web-based health support applications, mobile health support applications, stand-alone health monitoring devices, and wearable health monitoring devices. The aim is to gain better insights into designing self-reflective and comprehensible visualizations of health information in patient-centered systems. Results indicate that most of these applications present trends of monitored health data via visuals. Web-based applications feature more comprehensive and complex visuals than applications that are found in other platforms. Stand-alone and wearable devices are found to be more user-friendly and present data in the most simplified manner. There is a need to develop a guideline to aid developers to design effective visuals in patient-centered systems. � Springer Nature Switzerland AG 2019.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-3-319-99007-1_66
dc.identifier.epage725
dc.identifier.scopus2-s2.0-85053933349
dc.identifier.spage711
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85053933349&doi=10.1007%2f978-3-319-99007-1_66&partnerID=40&md5=03cd3afad81ddab2cd99c90a02265138
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25051
dc.identifier.volume843
dc.publisherSpringer Verlagen_US
dc.sourceScopus
dc.sourcetitleAdvances in Intelligent Systems and Computing
dc.titleSelf-reflective visualizations of patient-centered health information systemsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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