Document Type : Original Article



Introduction: Simultaneous with the rapid changes in the technology and information
systems, hospitals interest in using them. One of the most common systems in hospitals is
electronic medical record (EMR) whose one of uses is providing better health care quality via
health information technology. Prior to its use, attempts should be put to identifying factors
affecting the acceptance, attitude and utilizing of this technology. The current article aimed
to study the effective factors of EMR acceptance by technology acceptance model (TAM) at
central polyclinic of Oil Industry in Isfahan. Materials and Methods: This was a practical,
descriptive and regression study. The population research were all EMR users at polyclinic
of Oil Industry in 2012 and its sampling was simple random with 62 users. The tool of data
collection was a research‑made questionnaire based on TAM. The validity of questionnaire
has been assigned through the strategy of content validity and health information technology
experts’ views and its reliability by test‑retest. Findings: The system users have positive attitude
toward using EMR (56.6%). Also, users are not very satisfied with effective external (38.14%)
and behavioral factors (47.8%) upon using the system. Perceived ease‑of‑use (PEU) and
perceived usefulness (PU) were at a good level. Conclusion: Lack of relative satisfaction with
using of EMR derives from factors such as appearance, screen, data and information quality
and terminology. In this study, it is suggested to improve the system and the efficiency of the
users through software’ external factors development. So that PEU and users’ attitude to be
changed and moved in positive manner.


1. Aggelidis VP, Chatzoglou PD. Using a modified technology
acceptance model in hospitals. Int J Med Inform 2009;78:115‑26.
2. Vathanophas V, Pacharapha T. information technology acceptance
in health care service: The study of electronic medical record (EMR)
in Thailand. In: Kocaoglu D, Anderson T, Daim T, editors.
Technology management for global economic growth Portland:
Portland international center for management of engineering and
technology 2010. p. 1‑5.
3. Otieno GO, Hinako T, Motohiro A, Daisuke K, Keiko N. Measuring
effectiveness of electronic medical records systems: Towards
building a composite index for benchmarking hospitals. Int J Med
Inform 2008;77:657‑69.
4. Miller RH, Sim I. Physicians’ use of electronic medical records:
Barriers and solutions. Health Aff 2004;2:116‑26.
5. Boonstra A, Broekhuis M. Barriers to the acceptance of electronic
medical records by physicians from systematic review to taxonomy
and interventions. BMC Health Serv Res 2010;10:231. Available
from: http://www.biomedcentralcom/1472‑6963/10/231. [Last
accessed date 2012/01/09].
6. Haslina M, Sharifah M. Acceptance model of electronic medical
record. J Adv Inform Manag Stud (JAIMS) 2005;2:75‑92.
7. Chuttur M. Overview of the technology acceptance model: Origins,
developments and future directions. Indiana University, USA Sprouts:
Working Papers on Information Systems; vol 9. 2009. p. 1‑23.
8. Abdulai T. Implemanting EHR in developing countery: Potential
chalenges and benefits. Tromsø: Faculty of Medicine Institute of
Clinical Medicine University of Tromsø; 2009.9. Ortega Egea JM, Román González MV. Explaining physicians’
acceptance of EHCR systems: An extension of TAM with trust and
risk factors. Comput Human Behav 2011;27:319‑32.
10. Chung JE, Park N, Wang H, Fulk J, McLaughlin M. Age differences
in perceptions of online community participation among non‑users:
An extension of the technology acceptance model. Comput Human
Behav 2010;26:1674‑84.
11. A survey on factors related to customer intent to use of e‑banking
Saman bank case study. Management Knowledge (Not Publish)
12. Holden RJ, Karsh B‑T. The technology acceptance model: Its past
and its future in health care. J Biomed Inform 2010;43:159‑72.
13. Seeman E, Gibson S. Predicting acceptance of electronic medical
records: Is the technology acceptance model enough? SAM Adv
Manag J 2009;74:21‑6.
14. Kim D, Chang H. Key functional characteristics in designing and
operating health information websites for user satisfaction: An
application of the extended technology acceptance model. Int J
Med Inform 2007;76:790‑800.
15. Veer AJEd, Francke AL. Attitudes of nursing staff towards
electronic patient records: A questionnaire survey. Int J Nurs Stud
16. Factors related to accept of “e‑learning” in nursing students. Educ
Strateg J [Research] 2009;2:103‑8.
17. Handy J, Whiddett R, Hunte I. A technology acceptance model for
inter‑organisational electronic medical recoeds systems. Australas
J Inf Syst 2001;9:39‑50.
18. Davis F, Bagozzi R, Warshaw P. User acceptance of computer
technology: A comparison of two theoretical models. Manag Sci