ArticleBMC medical informatics and decision making2013
An investigation of the effect of nurses' technology readiness on the acceptance of mobile electronic medical record systems.
Article in BMC medical informatics and decision making, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 3 of them syntheses that pooled it.
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Who cites it
54 citing papers in PubMed, 3 syntheses or guidelines pooled it, 249 citations in OpenAlex.
- Factors Affecting Clinician Readiness to Adopt Smart Home Technology for Remote Health Monitoring: Systematic Review.JMIR aging · 2024Pooled it
- A Systematic Review of the Technology Acceptance Model in Health Informatics.Applied clinical informatics · 2018Pooled it
- m-Health adoption by healthcare professionals: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2016Pooled it
- The impact of innovativeness on Chinese nurses' attitudes toward artificial intelligence: a cross-sectional study based on the technology acceptance model.BMC nursing · 2026Article
- The effect of the information systems literacy of emergency health employees on their technology acceptance levels.Work (Reading, Mass.) · 2025Article
- Measuring the relationship between reciprocity behaviour and technology readiness of nursing staff working in residential care and community nursing: A cross-sectional study.Journal of advanced nursing · 2025Article
- Digital health readiness - insights from healthcare leaders in operational management: a cross-sectional survey.BMC health services research · 2025Article
- Factors of Nurses' Using Mobile Applications to Provide Home Nursing Care: A Social Cognitive Theory Perspective.Journal of nursing management · 2025Article
- Understanding the predictors of health professionals' intention to use electronic health record system: extend and apply UTAUT3 model.BMC health services research · 2024Article
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- The Usage of Digital Health Technology Among Older Adults in Hong Kong and the Role of Technology Readiness and eHealth Literacy: Path Analysis.Journal of medical Internet research · 2023Article
- Integrating Technology Adoption Models Into Implementation Science Methodologies: A Mixed-Methods Preimplementation Study.The Gerontologist · 2023Article
- When It Comes to Screen Golf and Baseball, What Do Participants Think?International journal of environmental research and public health · 2022Review
- Clinical preceptorship in Ghana in the era of COVID-19 pandemic: an interventional study.BMC nursing · 2022Article
- Healthcare providers' readiness for electronic health record adoption: a cross-sectional study during pre-implementation phase.BMC health services research · 2022Article
- Adoption of electronic medical records in developing countries-A multi-state study of the Nigerian healthcare system.Frontiers in digital health · 2022Article
- Artificial intelligence (AI) acceptance in primary care during the coronavirus pandemic: What is the role of patients' gender, age and health awareness? A two-phase pilot study.Frontiers in public health · 2022Article
- The Association Between Using a Mobile Version of an Electronic Health Record and the Well-Being of Nurses: Cross-sectional Survey Study.JMIR medical informatics · 2021Article
- Intention to Use Wiki-Based Knowledge Tools: Survey of Quebec Emergency Health Professionals.JMIR medical informatics · 2021Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAdopting mobile electronic medical record (MEMR) systems is expected to be one of the superior approaches for improving nurses' bedside and point of care services. However, nurses may use the functions for far fewer tasks than the MEMR supports. This may depend on their technological personality associated to MEMR acceptance. The purpose of this study is to investigate nurses' personality traits in regard to technology readiness toward MEMR acceptance.
methodsThe study used a self-administered questionnaire to collect 665 valid responses from a large hospital in Taiwan. Structural Equation modeling was utilized to analyze the collected data.
resultsOf the four personality traits of the technology readiness, the results posit that nurses are optimistic, innovative, secure but uncomfortable about technology. Furthermore, these four personality traits were all proven to have a significant impact on the perceived ease of use of MEMR while the perceived usefulness of MEMR was significantly influenced by the optimism trait only. The results also confirmed the relationships between the perceived components of ease of use, usefulness, and behavioral intention in the Technology Acceptance Model toward MEMR usage.
conclusionsContinuous educational programs can be provided for nurses to enhance their information technology literacy, minimizing their stress and discomfort about information technology. Further, hospital should recruit, either internally or externally, more optimistic nurses as champions of MEMR by leveraging the instrument proposed in this study. Besides, nurses' requirements must be fully understood during the development of MEMR to ensure that MEMR can meet the real needs of nurses. The friendliness of user interfaces of MEMR and the compatibility of nurses' work practices as these will also greatly enhance nurses' willingness to use MEMR. Finally, the effects of technology personality should not be ignored, indicating that hospitals should also include more employees' characteristics beyond socio-demographic profiles in their personnel databases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.