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Journal article
An Analysis of Speech during Life Saving Interventions to Inform the Design of a Computerized System for Delay Detection
AMIA ... Annual Symposium proceedings, v 2022, pp 1217-1226
Nov 2022
PMID: 37128376
Abstract
We describe an analysis of speech during time-critical, team-based medical work and its potential to indicate process delays. We analyzed speech intention and sentence types during 39 trauma resuscitations with delays in one of three major lifesaving interventions: intravenous/intraosseous (IV/IO) line insertion, cardiopulmonary and resuscitation (CPR), and intubation. We found a significant difference in patterns of speech during delays vs. speech during non-delayed work. The speech intention during CPR delays, however, differed from the other LSIs, suggesting that context of speech must be considered. These findings will inform the design of a clinical decision support system (CDSS) that will use multiple sensor modalities to alert medical teams to delays in real time. We conclude with design implications and challenges associated with speech-based activity recognition in complex medical processes.
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Details
- Title
- An Analysis of Speech during Life Saving Interventions to Inform the Design of a Computerized System for Delay Detection
- Creators
- Katherine Zellner - Drexel UniversityLouis Jiorgio Villegas - Drexel UniversityCharles Neff - Drexel UniversityWaverly Getrich-Thompson - Children's NationalRandall Burd - Children's NationalIvan Marsic - Rutgers, The State University of New JerseyAleksandra Sarcevic - Drexel University
- Publication Details
- AMIA ... Annual Symposium proceedings, v 2022, pp 1217-1226
- Conference
- AMIA 2022, American Medical Informatics Association Annual Symposium (Washington, District of Columbia, United States, 05 Nov 2022–09 Nov 2022)
- Number of pages
- 10
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Other Identifier
- 991020476524804721