Exploring Nurse Use of Digital Nursing Technology

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.

Authors

Institutions

Publication Details

Journal
CIN Computers Informatics Nursing
Published
2024-08-19
DOI
https://doi.org/10.1097/cin.0000000000001183
Citations
2
Primary Topic
Telemedicine and Telehealth Implementation
Type
article
Field-Weighted Citation Impact
1.09
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring Nurse Use of Digital Nursing Technology

Chieh‐Yu Liu, Ting‐Ting Lee, Mary Etta Mills, Wen-Chun Chen et al.
2 citations
CIN Computers Informatics Nursing
Telemedicine and Telehealth Implementation
1.09
article

Exploring Nurse Use of Digital Nursing Technology

Chieh‐Yu Liu, Ting‐Ting Lee, Mary Etta Mills, Wen-Chun Chen, Shu‐He Huang
article en
2 citations

Abstract

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.

CIN Computers Informatics NursingVol. 42(10)
Ten Chen Hospital (TW), National Hsinchu University of Education (TW), Mills (Norway) (NO)
Industry, innovation and infrastructure
Openalex Percentile: Top 21%
Telemedicine and Telehealth Implementation
1.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.