Home > Research > Publications & Outputs > Scoping the Design Space for Data Supported Dec...

Electronic data

  • PH_PURE_COPY

    Rights statement: Permission to make digital or hard copies of part or all 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, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. © 2018 Association for Computing Machinery.

    Accepted author manuscript, 451 KB, PDF document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

Links

Text available via DOI:

View graph of relations

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

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
Publication date21/05/2018
Host publicationPervasiveHealth '18 Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare
Place of PublicationNew York
PublisherACM
Pages217-226
Number of pages10
ISBN (print)9781450364508
<mark>Original language</mark>English
EventPervasiveHealth 2018 - 12th EAI International Conference on Pervasive Computing Technologies for Healthcare - Mount Sinai Hospital, New York, United States
Duration: 21/05/201824/05/2018

Conference

ConferencePervasiveHealth 2018 - 12th EAI International Conference on Pervasive Computing Technologies for Healthcare
Country/TerritoryUnited States
CityNew York
Period21/05/1824/05/18

Conference

ConferencePervasiveHealth 2018 - 12th EAI International Conference on Pervasive Computing Technologies for Healthcare
Country/TerritoryUnited States
CityNew York
Period21/05/1824/05/18

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 decision making (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.