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Healthcare in everyday life: designing healthcare services for daily life

Published: 06 April 2008 Publication History
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  • Abstract

    Today the design of most healthcare technology is driven by the considerations of healthcare professionals and technology companies. This has several benefits, but we argue that there is a need for a supplementary design approach on the basis the citizen and his or her everyday life. An approach where the main focus is to develop healthcare technology that fits the routines of daily life and thus allows the citizens to continue with the activities they like and have grown used to -- also with an aging body or when managing a chronic condition. Thus, with this approach it is not just a matter of fixing a health condition, more importantly is the matter of sustaining everyday life as a whole. This argument is a result from our work -- using participatory design methods -- on the development of supportive healthcare technology for elderly people and for diabetic, pregnant women.

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    Cited By

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    • (2024)Acceptance of AI in Health Care for Short- and Long-Term Treatments: Pilot Development Study of an Integrated Theoretical ModelJMIR Formative Research10.2196/486008(e48600)Online publication date: 18-Jul-2024
    • (2024)Creating Resources for Designing with and for Care Ecologies in HCIProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3660709(3161-3178)Online publication date: 1-Jul-2024
    • (2023)Digital Technologies on Health ServicesHandbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence10.4018/978-1-6684-6519-6.ch011(168-182)Online publication date: 7-Apr-2023
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    Recommendations

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    Andrew Brooks

    Information technology (IT) is revolutionizing healthcare, both in and out of hospitals. But do technological solutions proposed by healthcare professionals and IT companies meet the needs of nonhospitalized recipients who are trying to live normal lives__?__ The answer to this question is often negative. Ballegaard et al. recount their experiences with over 15 projects, ultimately focusing on two: one concerned with the elderly, and the other with diabetic, pregnant women. To support the development of usable healthcare technology, two design guidelines are suggested: "design for continuity" and "design for understandability and learning." The "design for continuity" guideline not only promotes solutions that minimize disruption to the routines of daily life, but also promotes solutions that are aesthetically pleasing. The "design for understandability and learning" guideline promotes solutions where functioning can be explained in different ways to different users, as well as solutions that allow the users to understand the correspondence between measurements and their own health status. The importance of participatory design in implementing these guidelines is stressed, with the daily life of the intended recipient as the starting point. Some of the examples recounted would shock even the most seasoned specialist: several elderly citizens could not tell when a mobile phone used for data transmission was disconnected; with the logical aim of minimizing infant mortality and birth defects, several diabetic, pregnant women were obligated to regularly attend a specialist clinic that was a two-hour drive away. Although success stories based on the use of the two guidelines are not presented, this paper provides many insights. I recommend it to those responsible for developing healthcare technology solutions. Online Computing Reviews Service

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    cover image ACM Conferences
    CHI '08: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
    April 2008
    1870 pages
    ISBN:9781605580111
    DOI:10.1145/1357054
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 06 April 2008

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    Author Tags

    1. chronic disease
    2. citizen
    3. design methods
    4. diabetes
    5. elderly
    6. healthcare technology
    7. independent living
    8. participatory design
    9. patient
    10. tele-medicine

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    CHI '08 Paper Acceptance Rate 157 of 714 submissions, 22%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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    Cited By

    View all
    • (2024)Acceptance of AI in Health Care for Short- and Long-Term Treatments: Pilot Development Study of an Integrated Theoretical ModelJMIR Formative Research10.2196/486008(e48600)Online publication date: 18-Jul-2024
    • (2024)Creating Resources for Designing with and for Care Ecologies in HCIProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3660709(3161-3178)Online publication date: 1-Jul-2024
    • (2023)Digital Technologies on Health ServicesHandbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence10.4018/978-1-6684-6519-6.ch011(168-182)Online publication date: 7-Apr-2023
    • (2023)Identification of Key Factors for Optimized Health Care Services: Protocol for a Multiphase Study of the Dubai Vaccination CampaignJMIR Research Protocols10.2196/4227812(e42278)Online publication date: 17-Apr-2023
    • (2023)Efficient Density-peaks Clustering Algorithms on Static and Dynamic Data in Euclidean SpaceACM Transactions on Knowledge Discovery from Data10.1145/360787318:1(1-27)Online publication date: 10-Aug-2023
    • (2023)Dynamic Weighted Gradient Reversal Network for Visible-infrared Person Re-identificationACM Transactions on Multimedia Computing, Communications, and Applications10.1145/360753520:1(1-23)Online publication date: 25-Aug-2023
    • (2023)“You Can See the Connections”: Facilitating Visualization of Care Priorities in People Living with Multiple Chronic Health ConditionsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580908(1-17)Online publication date: 19-Apr-2023
    • (2023)Camera-based Non-contact Respiratory Rate EstimationIETE Journal of Research10.1080/03772063.2023.2248934(1-10)Online publication date: 11-Sep-2023
    • (2022)Design Methods for the Elderly in Web of Science, Scopus, and China National Knowledge Infrastructure Databases: A Scientometric Analysis in CiteSpaceSustainability10.3390/su1405254514:5(2545)Online publication date: 22-Feb-2022
    • (2022)Digital Technologies in Orientation and Mobility Instruction for People Who are Blind or Have Low VisionProceedings of the ACM on Human-Computer Interaction10.1145/35556226:CSCW2(1-25)Online publication date: 11-Nov-2022
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