Document Type : Original Article
Authors
1 Department of Management and Health Information Technology, School of Management and Medical Information Sciences, Isfahan University of Medical Sciences
2 Department of Management and Health Information Technology, Al Zahra Hospital, Isfahan University of Medical Sciences,
3 Medical Records Department, School of Health Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
Abstract
CONTEXT: The advent of picture archiving and communication system (PACS) as medical image
information system represent a major change of work pattern for radiologists and physicians and
has proved to be a substantial challenge to the organization.
AIMS: The study aimed to investigate the factors affecting the use of PACS through the unified
theory of acceptance and use of technology model.
SETTINGS AND DESIGN: It was an applied and analytical study.
SUBJECTS AND METHODS: Ninety questionnaires were distributed in Kashani hospital of Esfahan
which implemented web‑based PACS, and 45 usable questionnaires were returned. The questionnaire
consists of scales for performance expectancy (PE), effort expectancy, facility condition, social
influences, and behavioral intention (BI) and was developed by the author comparing the similar
studies in which validity was confirmed by a committee of experts and the reliability was calculated
using a Cronbach’s α (α = 0.946).
STATISTICAL ANALYSIS USED: Data were analyzed using SPSS version 20. The statistical tests
for data analysis were Pearson’s correlation and multiple regression analysis.
RESULTS: The findings suggested a direct correlation between BI and factors of PE (P < 0.001,
r = 0.788), effort expectancy (P < 0.001, r = 0.564), social influences (P = 0.001, r = 0.472), and
facility condition (P < 0.001, r = 0.477).
CONCLUSIONS: According to the findings, only the PE is sufficient for predict and evaluation of
user behavior toward PACS. The results could be useful in terms of designing new systems and
understanding users’ need.
Keywords
1996;313:1375‑7.
2. Duyck P, Pynoo B, Devolder P, Voet T, Adang L, Vercruysse J,
et al. User acceptance of a picture archiving and communication
system. Applying the unified theory of acceptance and use
of technology in a radiological setting. Methods Inf Med
2008;47:149‑56.
3. Aldosari B. User acceptance of a picture archiving and
communication system (PACS) in a Saudi Arabian hospital
radiology department. BMC Med Inform Decis Mak 2012;12:44.
4. BennettWF, SpigosDG, TzalonikouMT, TerrellJE, AugustynMA.
Web‑based viewing of picture archiving and communications
systems images – PartI: Optimal personal computer configuration.
J Digit Imaging 1999;12:112‑5.
5. Dünnebeil S, Sunyaev A, Blohm I, Leimeister JM, Krcmar H.
Determinants of physicians’ technology acceptance for e‑health
in ambulatory care. Int J Med Inform 2012;81:746‑60.
6. Chaua P, Jen‑Hwa Hu P. Investigating healthcare professionals’
decisions to accept telemedicine technology: An empirical test of
competing theories. Inf Manag 2002;39:297‑311.
7. Venkatesh V, Morris M, Davis G, Davis F. User acceptance
of information technology: Toward a unified view. MIS Q
2003;27:425‑78.
8. Holden RJ, Karsh BT. The technology acceptance model: Its past
and its future in health care. J Biomed Inform 2010;43:159‑72.
9. Ami‑Narh J, Williams P. A revised UTAUT model to investigate
E‑health acceptance of health professionals in Africa. J Emerg
Trends Comput Inf Sci 2012;3:9‑30.
10. Pynoo B, Devolder P, Duyck W, van Braak J, Sijnave B, Duyck P,
et al. Do hospital physicians’ attitudes change during PACS
implementation? A cross‑sectional acceptance study. Int J Med
Inform 2012;81:88‑97.
11. Ahmadi M, Hoseini F, Barabadi M. Survey the compatibility rate
of hospital information systems with the needs of medical record
users from the system. J Health Adm 2008;11:25‑32.
12. Delone W, Mclean E. The DeLone and McLean model of
information systems success: A ten‑year update. J Manag Inf Syst
2003;19:9‑30.
13. Rafiei M. Investigating Factors Influencing Users’ Acceptance
and Use of Electronic Medical Record Based on Technology
Acceptance Model at Central oil Industry’s Clinic [MS thesis].
Esfahan: Esfahan University of Medical Sciences; 2012.
14. Wu Y, Tao Y, Yang P. The use of unified theory of acceptance and
use of technology to confer the behavioral model of 3G mobile telecommunication users. J Stat Manag Syst 2008;11:919‑49.
15. Lin C, Lin IC, Roan J. Barriers to physicians’ adoption of healthcare
information technology: An empirical study on multiple hospitals.
J Med Syst 2012;36:1965‑77.
16. Melas CD, Zampetakis LA, Dimopoulou A, Moustakis V.
Modeling the acceptance of clinical information systems among
hospital medical staff: An extended TAM model. J Biomed Inform
2011;44:553‑64.
17. Aggelidis VP, Chatzoglou PD. Using a modified technology
acceptance model in hospitals. Int J Med Inform 2009;78:115‑26.
18. Kigongo N. perceived Usefulness, Perceived Ease of Use,
Behavioral Intention to Use and Actual System Usage in
Centenary Bank [MS thesis]. Uganda: makerere University
Business; 2011. Available from: http://www.mubs.ac.ug/docs/
masters/acc_fin/Perceived%20usefulness,%20perceived%20
ease%20of%20use,%20behavioral%20%20%20intention%20to%20
use%20and%20actual%20system%20usage.pdf. [Last accessed on
2013 Aug 20].
19. Kijsanayotin B, Pannarunothai S, Speedie SM. Factors influencing
health information technology adoption in Thailand’s community
health centers: Applying the UTAUT model. Int J Med Inform
2009;78:404‑16.
20. Attuquayefio S, Addo H. Reviews of studies with UTAUT as
conceptual framework. Eur Sci J 2014;10:249‑58.
21. Tavakoli N, Jahanbakhsh M, Shahin A, Mokhtari H, Rafiei M.
Electronic medical record in central polyclinic of isfahan oil
industry: A case study based on technology acceptance model.
Acta Inform Med 2013;21:23-25.
22. Phichitchaisopa N, Naenna T. Factors affecting the adoption of
healthcare information technology. EXCLI J 2013;12:413‑36.
23. Langarizadeh M, Gohari M, Koohestani A. Acceptance of hospital
information systems among medical records users based on
technology acceptance model. Health Inf Manag 2013;10:800‑9.
24. Abdekhoda M, Ahmadi M, Hoseini A, Parikhani E, Farhadi A.
Factors affecting information technology acceptance by health
information management staff of Tehran university of medical
sciences’ hospitals based on the technology acceptance model.
Payavardsalamat 2013;7:287‑98.
)