Exploring Nurse Use of Digital Nursing Technology.


Journal

Computers, informatics, nursing : CIN
ISSN: 1538-9774
Titre abrégé: Comput Inform Nurs
Pays: United States
ID NLM: 101141667

Informations de publication

Date de publication:
19 Aug 2024
Historique:
medline: 19 8 2024
pubmed: 19 8 2024
entrez: 19 8 2024
Statut: aheadofprint

Résumé

Technological developments and nursing shortages have become global trends. To solve the problem of shortage of healthcare professionals, technology may be used as a backup. Nurses constitute the largest working group in the healthcare system. Therefore, nurses are very important to the success of implementing digitization in hospitals. This cross-sectional study used the characteristics and adoption roles of innovation diffusion theory to understand technology use within the organization. Data were collected through structured questionnaires and open-ended questions from March 21 to May 31, 2022, in two hospitals in Taiwan. In total, 159 nurses agreed to participate in the study. The results of this study revealed that observability, simplicity, advantage, trialability, and compatibility positively improved the acceptance of digital nursing technology. In the distribution of users' innovative roles, early adopters had a significant impact on innovation characteristics and technology acceptance. Nurses in acute and critical care units perceived a greater comparative advantage and trial availability of digital nursing technology use than did those in general wards and outpatient clinics. In addition, based on user opinions and suggestions, the development of smart healthcare and the use of digital technology are expected to improve the quality of nursing care.

Identifiants

pubmed: 39159150
doi: 10.1097/CIN.0000000000001183
pii: 00024665-990000000-00225
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.

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Auteurs

Wen-Chun Chen (WC)

Author Affiliations: Department of Nursing, China Medical University Hsinchu Hospital (Ms Chen); and College of Nursing, National Yang Ming Chiao Tung University (Drs Lee and Huang), Hsinchu; and Department of Health Care Management, National Taipei University of Nursing and Health Sciences (Dr Liu), Taiwan; and School of Nursing, University of Maryland, Baltimore (Dr Mills).

Classifications MeSH