Article ; Online: Human factor engineering of point-of-care near infrared spectroscopy device for intracranial hemorrhage detection in Traumatic Brain Injury: A multi-center comparative study using a hybrid methodology.
International journal of medical informatics
2024 Volume 184, Page(s) 105367
Abstract: Objective: This study assessed machine learning powered Near-infrared spectroscopy based (mNIRS) device's usability and human factor ergonomics in four distinct healthcare provider groups.: Background: Traumatic Brain Injury (TBI) is a global concern ...
Abstract | Objective: This study assessed machine learning powered Near-infrared spectroscopy based (mNIRS) device's usability and human factor ergonomics in four distinct healthcare provider groups. Background: Traumatic Brain Injury (TBI) is a global concern with significant well-being implications. Timely intracranial hemorrhage (ICH) detection is crucial. mNIRS offers efficient non-invasive TBI screening. Methods: Two device utilization stages involved operators (N = 21) and TBI-suspected subjects (n = 120). A hybrid approach used qualitative and quantitative methods, utilizing a 57-item survey and task completion time. Results: All groups positively perceived user-interface, physical, cognitive, and organizational ergonomics. The device's ease of use, calibration, size, cognitive support, and integration gained appreciation. Training reduced task completion time from 16.5 to 13.2 s. Conclusion: mNIRS-based CEREBO® proves usable for TBI point-of-care assessment. Positive feedback from diverse healthcare groups validates design and cost-effectiveness alignment. A hybrid approach, training, and practice scans enhance usage and experience. |
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MeSH term(s) | Humans ; Spectroscopy, Near-Infrared/methods ; Point-of-Care Systems ; Brain Injuries, Traumatic/diagnosis ; Intracranial Hemorrhages ; Ergonomics |
Language | English |
Publishing date | 2024-02-03 |
Publishing country | Ireland |
Document type | Multicenter Study ; Journal Article |
ZDB-ID | 1466296-6 |
ISSN | 1872-8243 ; 1386-5056 |
ISSN (online) | 1872-8243 |
ISSN | 1386-5056 |
DOI | 10.1016/j.ijmedinf.2024.105367 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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