Exploring Nurse' Use of Digital Nursing Technology

Wen Chun Chen, Ting Ting Lee*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationMEDINFO 2023 - The Future is Accessible
Subtitle of host publicationProceedings of the 19th World Congress on Medical and Health Informatics
EditorsJen Bichel-Findlay, Paula Otero, Philip Scott, Elaine Huesing
PublisherIOS Press BV
Pages1392-1393
Number of pages2
ISBN (Electronic)9781643684567
DOIs
StatePublished - 25 Jan 2024
Event19th World Congress on Medical and Health Informatics, MedInfo 2023 - Sydney, Australia
Duration: 8 Jul 202312 Jul 2023

Publication series

NameStudies in Health Technology and Informatics
Volume310
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference19th World Congress on Medical and Health Informatics, MedInfo 2023
Country/TerritoryAustralia
CitySydney
Period8/07/2312/07/23

Keywords

  • Digital nursing technology (DNT)
  • innovation diffusion theory
  • system acceptance

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