ArticleApplied clinical informatics2018
Factors Affecting Acceptance of Hospital Information Systems Based on Extended Technology Acceptance Model: A Case Study in Three Paraclinical Departments.
Article in Applied clinical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of the Technology Acceptance Model in Health Informatics.Applied clinical informatics · 2018Pooled it
- Does the integrated electronic medical record system have a positive adoption in community hospital settings?BMC medical informatics and decision making · 2025Article
- Critical Success Factors Influencing the Acceptance of a Casemix-Based Hospital Information System: Cross-Sectional Study.Journal of medical Internet research · 2025Article
- Evaluation and examination of factors influencing the continued effective use of E-learning among faculty members of medical sciences universities.BMC medical education · 2025Article
- Facilitator and Barrier to Health Information System Use from Health Professionals Perspective: A Scoping Review.Journal of multidisciplinary healthcare · 2025Review
- Barriers and perceptions of WHONET/BacLink adoption in Nepal: A qualitative study of clinical microbiology laboratories.PloS one · 2025Article
- Critical Success Factors and Acceptance of the Casemix System Implementation Within the Total Hospital Information System: Exploratory Factor Analysis of a Pilot Study.JMIR formative research · 2024Article
- Article
- Intention to Use Mobile-Based Partograph and Its Predictors Among Obstetric Health Care Providers Working at Public Referral Hospitals in the Oromia Region of Ethiopia in 2022: Cross-Sectional Questionnaire Study.Online journal of public health informatics · 2024Article
- Investigating the Effective Factors on the Acceptance of Teleorthodontic Technology Based on the Technology Acceptance Model 3 (TAM3).Journal of dentistry (Shiraz, Iran) · 2024Article
- Acceptability and use of the electronic community health information system and its determinants among health extension workers in Ethiopia: a retrospective cross-sectional observational study.BMC medical informatics and decision making · 2023Observational
- Modelling the Predictors of Mobile Health (mHealth) Adoption among Healthcare Professionals in Low-Resource Environments.International journal of environmental research and public health · 2023Article
- Factors Influencing the Acceptance of Distributed Research Networks in Korea: Data Accessibility and Data Security Risk.Healthcare informatics research · 2023Article
- Clinical Nurses' Intention to Use Defibrillators in South Korea: A Path Analysis.Healthcare (Basel, Switzerland) · 2022Article
- Formative Evaluation of the Acceptance of HIV Prevention Artificial Intelligence Chatbots By Men Who Have Sex With Men in Malaysia: Focus Group Study.JMIR formative research · 2022Article
- Qualitative study measuring the usability of the International Cardiac Rehabilitation Registry.BMJ open · 2022Article
- Managing Directors' Perspectives on Digital Maturity in German Hospitals-A Multi-Point Online-Based Survey Study.International journal of environmental research and public health · 2022Article
- Caregiver Expectations of Interfacing With Voice Assistants to Support Complex Home Care: Mixed Methods Study.JMIR human factors · 2022Article
- Analysis of intention and influencing factors on mobile information follow-up service in HIV/AIDS in a city in China.Frontiers in public health · 2022Article
- Determinants predicting the electronic medical record adoption in healthcare: A SEM-Artificial Neural Network approach.PloS one · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveRegardless of the acceptance of users, information and communication systems can be considered as a health intervention designed to improve the care delivered to patients. This study aimed to determine the adoption and use of the extended Technology Acceptance Model (TAM2) by the users of hospital information system (HIS) in paraclinical departments including laboratory, radiology, and nutrition and to investigate the key factors of adoption and use of these systems. MATERIALS AND
methodsA standard questionnaire was used to collect the data from nearly 253 users of these systems in paraclinical departments of eight university hospitals in two different cities of Iran. A total of 202 questionnaires including valid responses were used in this study (105 in Urmia and 97 in Khorramabad). The data were processed using LISREL and SPSS software and statistical analysis technique was based on the structural equation modeling (SEM).
resultsIt was found that the original TAM constructs had a significant impact on the staffs' behavioral intention to adopt HIS in paraclinical departments. The results of this study indicated that cognitive instrumental processes (job relevance, output quality, result demonstrability, and perceived ease of use), except for result demonstrability, were significant predictors of intention to use, whereas the result revealed no significant relationship between social influence processes (subjective norm, voluntariness, and image) and the users' behavioral intention to use the system.
conclusionThe results confirmed that several factors in the TAM2 that were important in previous studies were not significant in paraclinical departments and in government-owned hospitals. The users' behavior factors are essential for successful usage of the system and should be considered. It provides valuable information for hospital system providers and policy makers in understanding the adoption challenges as well as practical guidance for the successful implementation of information systems in paraclinical departments.
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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.