Conceptual Modeling and Evaluation of Tele- Psychotherapy System based on Self-inventory for Patients with Depression

Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Introduction
Psychological anomalies have a significant prevalence in the world, especially in developing countries, such as Iran, and require the development of various interventions for diagnosis, treatment, monitoring and care services. Regarding the nature of psychological abnormalities monitoring, and especially the self-inventory testing method, it is recommended to use telemedicine capabilities for remote monitoring of patients with these abnormalities. The purpose of this study was to design and model a self-reported psychiatric system for depression.
Methods
In this study, firstly, by reviewing the texts and observing similar systems, interviewing the psychiatric specialists of Shahid Beheshti Hospital of Kerman, nurses and patients of this center, and presenting and analyzing the questionnaire, the requirements of such a system were elicited and presented in the form of diagrams such as Class and business use Case in UML2.0. In order to provide a general view of prospective view, context diagram was presented. Scenario-based and simulation strategies were used to evaluate the model.
Results
By reviewing 33 similar studies and 45 websites related to similar systems, seven subsets of account, education, counseling, treatment, monitoring, financial affairs and communications were defined and listed with the full definition of relevant items, and communication types were presented by UML diagrams. Also, in the first step of the evaluation of 20 scenarios, the final scenario was approved by experts. Simulation indicators represent the high efficiency of the system.
Conclusion
The results of the evaluation of the proposed system show that the proposed system is satisfactory in terms of qualitative criteria and covers all expected functional requirements.
Language:
Persian
Published:
Journal of Health and Biomedical Informatics, Volume:5 Issue: 1, 2018
Pages:
1 to 11
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