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East. Mediterr. Health J. · Mar 2019
Determinant factors in applying electronic medical records in healthcare.
- Mohammadhiwa Abdekhoda, Afsaneh Dehnad, and Javad Zarei.
- Department of Medical Library and Information Sciences, School of Management and Medical Informatics, Iranian Center of Excellence in Health Management (IceHM), Tabriz University of Medical Sciences, Tabriz, Islamic Republic of Iran.
- East. Mediterr. Health J. 2019 Mar 19; 25 (1): 24-33.
BackgroundElectronic Medical Record (EMR) offers remarkable facilities such as reducing medical errors, decreasing healthcare costs and promoting quality of healthcare services by collecting, storing and displaying information at the point of care.AimsThis study was carried out to identify the determinants of electronic medical record (EMR) adoption by presenting a comprehensive model.MethodsThis was a cross-sectional study in which 330 healthcare personnel working in hospitals affiliated to Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran, were selected as the study sample. A proposed conceptual path model of technology, organization and environment (TOE), and technology acceptance model (TAM) was developed to identify the determinants of EMR adoption. The model was authorized by structural equation modeling (SEM) and represented by Analysis of Moment Structures (AMOS).ResultsThe results of the study showed that the integrated model of TOE-TAM explained 68 percent (R2 = 0.68) of the variance of EMR adoption. The findings also evidenced that perceived ease of use, perceived usefulness, technological context, organization context and environmental context have significant effect on EMR adoption.ConclusionsThe study findings suggest that the proposed conceptual integrated model of TOE-TAM is a favourable model for identifying the relevant factors of EMR adoption. The present study clearly recognized nine significant determinants that affect end-users' intention when comprehensive implementation of ERMs is considered.Copyright © World Health Organization (WHO) 2019. Some rights reserved. This work is available under the CC BY-NC-SA 3.0 IGO license (https://creativecommons.org/licenses/by-nc-sa/3.0/igo).
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