@inproceedings{3af85469c6a446e2985a4b5e1c873325,
title = "Exploring Nurse' Use of Digital Nursing Technology",
abstract = "This is a quantitative cross-sectional study using the characteristics of innovation diffusion theory to evaluate nurse' acceptance and adoption of digital nursing technology (DNT). Data were collected through questionnaires based on innovation diffusion theory in the wards of a regional hospital in Taiwan from March 21 to May 31, 2022. Results indicated that the higher the innovative characteristics of DNT, the higher the DNT acceptance. Difficulties with network connections contributed to negative experiences and led to recommendations for future system improvement.",
keywords = "Digital nursing technology (DNT), innovation diffusion theory, system acceptance",
author = "Chen, {Wen Chun} and Lee, {Ting Ting}",
note = "Publisher Copyright: {\textcopyright} 2024 International Medical Informatics Association (IMIA) and IOS Press.; 19th World Congress on Medical and Health Informatics, MedInfo 2023 ; Conference date: 08-07-2023 Through 12-07-2023",
year = "2024",
month = jan,
day = "25",
doi = "10.3233/SHTI231210",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press BV",
pages = "1392--1393",
editor = "Jen Bichel-Findlay and Paula Otero and Philip Scott and Elaine Huesing",
booktitle = "MEDINFO 2023 - The Future is Accessible",
address = "荷蘭",
}