Providing a Comprehensive Model of Effective Social Factors in Adoption with Sustainable Information Systems in Healthcare Centers

Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Introduction
Healthcare centers can achieve social sustainability through adoption of sustainable information systems (SIS). This study aimed to identify and model the factors played a role in affecting the adoption of health care centers with information systems.
Methods
The current study was a descriptive survey in the category of applied research. The statistical population of this study included two groups. The first group consisted of experts. The factors were identified and modeled by library studies, and through interviews with experts. The second group consisted of the staff, nurses, head nurses, and supervisors in Alzahra training and treatment center of Isfahan, Iran. The research questionnaire was distributed among the second statistical population. The identified factors were leveled through the interpretive structural modeling. The research hypotheses were then defined based on the model’s levels. The research hypotheses were tested using the analysis techniques of the study route.
Results
The interpretive interpretive-structural model included three levels. The factor of staff along with society and shareholders was placed at the first level. The factor of business ethics was placed at the second level. The third level included factors of social responsibility and organizational responsibility. The research hypotheses were determined based on the model’s levels. The results obtained from model fitness indicated the confirmation of all research hypotheses.
Conclusion
Social responsibility and organizational responsibility are two fundamental and effective factors in adoption of health care centers with sustainable information system. The adoption of sustainable requires senior management support, strategy development, proper policies, and expansion of organizational knowledge storage.
Language:
Persian
Published:
Health Information Management, Volume:15 Issue: 2, 2018
Pages:
76 to 82
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