Effects of Implementing a Barcode Information Management System on Operating Room Staff: Comparative Study.


Journal

Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882

Informations de publication

Date de publication:
17 Oct 2024
Historique:
received: 26 01 2024
accepted: 07 07 2024
revised: 30 06 2024
medline: 18 10 2024
pubmed: 18 10 2024
entrez: 17 10 2024
Statut: epublish

Résumé

Barcode information management systems (BIMS) have been implemented in operating rooms to improve the quality of medical care and administrative efficiency. Previous research has demonstrated that the Agile development model is extensively used in the development and management of information systems. However, the effect of information systems on staff acceptance has not been examined within the context of clinical medical information management systems. This study aimed to explore the effects and acceptance of implementing a BIMS in comparison to the original information system (OIS) among operating and supply room staff. This study was a comparative cohort design. A total of 80 staff members from the operating and supply rooms of a Northern Taiwan medical center were recruited. Data collection, conducted from January 2020 to August 2020 using a mobile-based structured questionnaire, included participant characteristics and the Information Management System Scale. SPSS (version 20.0, IBM Corp) for Windows (Microsoft Corporation) was used for data analysis. Descriptive statistics included mean, SD, frequency, and percentage. Differences between groups were analyzed using the Mann-Whitney U test and Kruskal-Wallis test, with a P value <.05 considered statistically significant. The results indicated that the BIMS generally achieved higher scores in key elements of system success, system quality, information quality, perceived system use, perceived ease of use, perceived usefulness, and overall quality score; none of these differences were statistically significant (P>.05), with the system quality subscale being closest to significance (P=.06). Nurses showed significantly better perceived system use than technicians (1.58, SD 4.78 vs -1.19, SD 6.24; P=.02). Significant differences in perceived usefulness were found based on educational level (P=.04) and experience with OIS (P=.03), with junior college-educated nurses and those with over 6 years of OIS experience reporting the highest perceived usefulness. The study demonstrates that using the Agile development model for BIMS is advantageous for clinical environments. The high acceptance among operating room staff underscores its practicality and broader adoption potential. It advocates for continued exploration of technology-driven solutions to enhance health care delivery and optimize clinical workflows.

Sections du résumé

BACKGROUND BACKGROUND
Barcode information management systems (BIMS) have been implemented in operating rooms to improve the quality of medical care and administrative efficiency. Previous research has demonstrated that the Agile development model is extensively used in the development and management of information systems. However, the effect of information systems on staff acceptance has not been examined within the context of clinical medical information management systems.
OBJECTIVE OBJECTIVE
This study aimed to explore the effects and acceptance of implementing a BIMS in comparison to the original information system (OIS) among operating and supply room staff.
METHODS METHODS
This study was a comparative cohort design. A total of 80 staff members from the operating and supply rooms of a Northern Taiwan medical center were recruited. Data collection, conducted from January 2020 to August 2020 using a mobile-based structured questionnaire, included participant characteristics and the Information Management System Scale. SPSS (version 20.0, IBM Corp) for Windows (Microsoft Corporation) was used for data analysis. Descriptive statistics included mean, SD, frequency, and percentage. Differences between groups were analyzed using the Mann-Whitney U test and Kruskal-Wallis test, with a P value <.05 considered statistically significant.
RESULTS RESULTS
The results indicated that the BIMS generally achieved higher scores in key elements of system success, system quality, information quality, perceived system use, perceived ease of use, perceived usefulness, and overall quality score; none of these differences were statistically significant (P>.05), with the system quality subscale being closest to significance (P=.06). Nurses showed significantly better perceived system use than technicians (1.58, SD 4.78 vs -1.19, SD 6.24; P=.02). Significant differences in perceived usefulness were found based on educational level (P=.04) and experience with OIS (P=.03), with junior college-educated nurses and those with over 6 years of OIS experience reporting the highest perceived usefulness.
CONCLUSIONS CONCLUSIONS
The study demonstrates that using the Agile development model for BIMS is advantageous for clinical environments. The high acceptance among operating room staff underscores its practicality and broader adoption potential. It advocates for continued exploration of technology-driven solutions to enhance health care delivery and optimize clinical workflows.

Identifiants

pubmed: 39418645
pii: v26i1e56192
doi: 10.2196/56192
doi:

Types de publication

Journal Article Comparative Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

e56192

Informations de copyright

©Chia-Yen Li, Mei-Hui Huang, Yu-Shiue Lin, Chi-Ming Chu, Hsueh-Hsing Pan. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 17.10.2024.

Auteurs

Chia-Yen Li (CY)

Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan.
Department of Planning and Management, Tri-Service General Hospital, Taipei, Taiwan.

Mei-Hui Huang (MH)

Department of Nursing, Tri-Service General Hospital, Taipei, Taiwan.

Yu-Shiue Lin (YS)

Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan.
Department of Anesthesia, Tri-Service General Hospital, Taipei, Taiwan.

Chi-Ming Chu (CM)

Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan.
Graduate Institute of Life Sciences, School of Public Health, National Defense Medical Center, Taipei, Taiwan.
Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan.
Department of Public Health, China Medical University, Taichung, Taiwan.
Department of Healthcare, Department of Healthcare Administration and Medical Informatics, College of Health Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan.
Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.

Hsueh-Hsing Pan (HH)

Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan.
Department of Nursing, Tri-Service General Hospital, Taipei, Taiwan.
School of Nursing, National Defense Medical Center, Taipei, Taiwan.

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