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Applying Electronic Medical Records in health care

Journal: Applied Clinical Informatics
ISSN: 1869-0327
DOI: https://doi.org/10.4338/ACI-2015-11-RA-0165
Issue: Vol. 7: Issue 2 2016
Pages: 341-354

Applying Electronic Medical Records in health care

Physicians’ perspective

Research Article

M. Abdekhoda (1, 2), M. Ahmadi (3, 4), A. Dehnad (5), A. Noruzi (6), M. Gohari (5)

(1) School of health management and medical informatics. Tabriz University of medical sciences. Tabriz, Iran; (2) Iranian Center of Excellence in Health Management (IceHM). School of Management and Medical Informatics. Tabriz University of Medical Sciences, Tabriz, Iran; (3) Department of Health Information Management, School of Management and Medical Information science, Iran University of Medical Science, Tehran, Iran; (4) Health Management and economics Research Center, School of health Management and information. Iran University of Medical Sciences, Tehran, Iran; (5) School of Management and Medical Information science, Iran University of Medical Science, Tehran, Iran; (6) Faculty of Management. University of Tehran, Tehran, Iran

Keywords

physician, Electronic medical record (EMR), technology acceptance model (TAM), diffusion of innovation theory (DOI), structural equation modeling (SEM)

Summary

Background: In order to fulfill comprehensive interoperability and recognize the electronic medical records (EMRs’) benefits, physicians’ attitudes toward using and applying EMR must be recognized.

Objectives: The purpose of this study was to present an integrated model of applying EMRs by physicians.

Methods: This was a cross sectional study in which a sample of 330 physicians working in hospitals affiliated to the Tehran University of medical sciences (TUMS) was selected. Physicians’ attitudes toward using and accepting EMR in health care have been analyzed by an integrated model of two classical theories i.e. technology acceptance model (TAM) and diffusion of innovation (DOI). The model was tested using an empirical survey. The final model was tested by structural equation modeling (SEM) and represented by Analysis of Moment Structures (AMOS).

Results: The results suggest that the hybrid model explains about 43 percent of the variance of using and accepting of EMRs (R2=0.43). The findings also evidenced that Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Relative Advantage, Compatibility, Complicatedness and Trainability have direct and significant effect on physicians’ attitudes toward using and accepting EMRs. But concerning observeability, significant path coefficient was not reported.

Conclusions: The integrated model supplies purposeful intuition for elucidates and anticipates of physicians’ behaviors in EMRs adoption. The study identified six relevant factors that affect using and applying EMRs that should be subsequently the major concern of health organizations and health policy makers.

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