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Scoping the Design Space for Data Supported Decision-Making Tools in Respiratory Care: Needs, Barriers and Future Aspirations

Authors:

Helena Tendedez,

Roisin McNaney,

Maria-Angela Ferrario,

Jon WhittleAuthors Info & Claims

PervasiveHealth '18: Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare

Pages 217 - 226

https://doi.org/10.1145/3240925.3240983

Published: 21 May 2018 Publication History

Abstract

There is an increasing demand from healthcare providers for timely and accurate information about patients' conditions, to support appropriate decision making about their needs. Often, healthcare providers have limited data access due to complex issues surrounding sharing agreements and data recording and storage. Designing data supported decisionmaking (DSDM) tools in this environment is challenging, as they often fail to fully integrate into practice. Existing work focuses on implementing tools such as dashboards and smartphone apps to support decision making practices. However, these tools often operate independently from main systems, and there is limited HCI research on the challenges of designing and integrating such tools into long-term health-care delivery. We describe our participatory design research with clinical and service management staff on a respiratory care ward. We use the process of designing a DSDM dashboard to explore larger challenges behind designing DSDM tools for healthcare providers.

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Cited By

Widdicks KKnowles BFriday ABlair G(2024)ICT under Constraint: Exposing Tensions in Collaboratively Prioritising ICT Innovation for Climate TargetsACM Journal on Responsible Computing10.1145/36482341:2(1-21)Online publication date: 11-Mar-2024
https://dl.acm.org/doi/10.1145/3648234
Tendedez HFerrario MMcNaney RGradinar A(2022)Exploring Human-Data Interaction in Clinical Decision-making Using Scenarios: Co-design StudyJMIR Human Factors10.2196/324569:2(e32456)Online publication date: 6-May-2022
https://doi.org/10.2196/32456
Alhamadi MAlghamdi OClinch SVigo M(2022)Data Quality, Mismatched Expectations, and Moving Requirements: The Challenges of User-Centred Dashboard DesignNordic Human-Computer Interaction Conference10.1145/3546155.3546708(1-14)Online publication date: 8-Oct-2022
https://dl.acm.org/doi/10.1145/3546155.3546708
Show More Cited By

Index Terms

Scoping the Design Space for Data Supported Decision-Making Tools in Respiratory Care: Needs, Barriers and Future Aspirations
1. Human-centered computing
  1. Human computer interaction (HCI)
  2. Interaction design
    1. Interaction design process and methods
      1. Participatory design
      2. User centered design

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PervasiveHealth '18: Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare

May 2018

413 pages

ISBN:9781450364508

DOI:10.1145/3240925

General Chairs:
Noga Minsky
Mount Sinai Health System
,
Venet Osmani
Fondazione Bruno Kessler

Copyright © 2018 ACM.

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 the author(s) 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: 21 May 2018

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PervasiveHealth '18

PervasiveHealth '18: 12th EAI International Conference on Pervasive Computing Technologies for Healthcare

May 21 - 24, 2018

NY, New York, USA

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Cited By

Widdicks KKnowles BFriday ABlair G(2024)ICT under Constraint: Exposing Tensions in Collaboratively Prioritising ICT Innovation for Climate TargetsACM Journal on Responsible Computing10.1145/36482341:2(1-21)Online publication date: 11-Mar-2024
https://dl.acm.org/doi/10.1145/3648234
Tendedez HFerrario MMcNaney RGradinar A(2022)Exploring Human-Data Interaction in Clinical Decision-making Using Scenarios: Co-design StudyJMIR Human Factors10.2196/324569:2(e32456)Online publication date: 6-May-2022
https://doi.org/10.2196/32456
Alhamadi MAlghamdi OClinch SVigo M(2022)Data Quality, Mismatched Expectations, and Moving Requirements: The Challenges of User-Centred Dashboard DesignNordic Human-Computer Interaction Conference10.1145/3546155.3546708(1-14)Online publication date: 8-Oct-2022
https://dl.acm.org/doi/10.1145/3546155.3546708
Graham ANeubert SChang ALiu JFu EGreen EKornfield RNicholas J(2021)Applying User-Centered Design Methods to Understand Users' Day-to-Day Experiences Can Inform a Mobile Intervention for Binge Eating and Weight ManagementFrontiers in Digital Health10.3389/fdgth.2021.6517493Online publication date: 4-Jun-2021
https://doi.org/10.3389/fdgth.2021.651749
Carlo LCarpio VVerdezoto NEslambolchilar PCruz EMalo FEspinosa DMaitland CCabezas M(2020)Healthcare Infrastructures in EcuadorProceedings of the 2020 International Conference on Information and Communication Technologies and Development10.1145/3392561.3397578(1-6)Online publication date: 17-Jun-2020
https://dl.acm.org/doi/10.1145/3392561.3397578
McNaney RTsekleves ESynnott JBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)Future Opportunities for IoT to Support People with Parkinson'sProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376871(1-15)Online publication date: 21-Apr-2020
https://dl.acm.org/doi/10.1145/3313831.3376871
Weinheimer EChang ANeubert SWildes JGraham A(2020)Past, current, and future willingness to engage with treatment targets: Applying user‐centered design to inform the design of a mobile behavioral interventionInternational Journal of Eating Disorders10.1002/eat.2325253:4(611-617)Online publication date: 29-Feb-2020
https://doi.org/10.1002/eat.23252

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