Conference proceeding
Exploring the Design of Computerized Support for Clinical Decisions about Stopping Life-Saving Interventions
PROCEEDINGS OF THE 2023 ACM DESIGNING INTERACTIVE SYSTEMS CONFERENCE, DIS 2023, pp 142-146
01 Jan 2023
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The decision to continue or stop life-saving interventions on a patient can be emotionally and ethically challenging for clinical teams. We explore the design of a decision-support system for cases with cardiopulmonary resuscitation (CPR), a frequently performed life-saving intervention during trauma resuscitation. To better understand the current practices around making decisions about CPR and the types of systems that could support decision-making, we are conducting interviews with clinicians and reviewing videos of past resuscitations. In this work-in-progress, we discuss our preliminary findings, which include the types of computerized support envisioned by clinicians. We also discuss the design considerations that will inform our next steps as we continue this work.
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Details
- Title
- Exploring the Design of Computerized Support for Clinical Decisions about Stopping Life-Saving Interventions
- Creators
- Angela Mastrianni - Drexel UniversityDevin Taylor - Drexel UniversityMegan A. Krentsa - Drexel UniversityAleksandra Sarcevic - Drexel UniversityACM
- Publication Details
- PROCEEDINGS OF THE 2023 ACM DESIGNING INTERACTIVE SYSTEMS CONFERENCE, DIS 2023, pp 142-146
- Publisher
- Assoc Computing Machinery
- Number of pages
- 5
- Grant note
- Drexel University Undergraduate Research Mini-Grants 2041772 / National Science Foundation Graduate Research Fellowship Program; National Science Foundation (NSF)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science; College of Medicine
- Web of Science ID
- WOS:001031537800035
- Scopus ID
- 2-s2.0-85167727001
- Other Identifier
- 991021049315304721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Computer Science, Theory & Methods
- Ergonomics