Designing and Implementation of the Information System for Providing Recommendations to People With Mental Disorders

2021;
: pp. 44 - 52
1
Lviv Polytechnic National University
2
Lviv Polytechnic National University

The authors of the article have developed methodological grounds, designed and implemented an information system to provide recommendations to people with mental disorders. The analysis of the main ways of using information technology in mental health treatment has resulted in the finding that mobile devices with certain software can significantly reduce the number of visits to qualified specialists, which make mental health therapy much more accessible to people with limited time or material resources. The authors have designed the information system using a structural approach and design model Data Flow Diagrams (DFD). They have also developed a context diagram of the information system and decomposed its main process to demonstrate ways to convert input into output. The authors have described the features of the decision-making method — the decision tree used in the information system. The functional purpose and the algorithm of work have been presented in the form of a Petri net, also the authors have specified on the tables of positions and transitions of this network for a better understanding of system principles. The analysis of software tools has been done that allows us to achieve the set goals in designing the system. Verification of work has been carried out which is proved in screenshots of program windows of the system and contents of the main pages has also been described.

  1. Bykov Y.N., Bender T.B. (2018). Mobile computer technologies as part of personalized therapy for patients with Parkinson’s disease // Acta Biomedica Scientifica. Vol.3, No. 1, 60-64. phttps://doi.org/10.29413/ABS.2018-3.1.9
  2. Bakker D., Kazantzis N., Rickwood D., Rickard N. (2016). Mental Health Smartphone Apps: Review and Evidence-Based Recommendations for Future Developments // JMIR Mental Health. 2016. Vol.3, №1. Retrieved from: https:// www.ncbi.nlm.nih.gov/pmc/articles/PMC4795320. phttps://doi.org/10.2196/mental.4984
  3. Ivanov V.G. Lazareva E.Yu., Nikolaev E.L. (2017). The use of modern information and communication technologies in psychotherapeutic and psychological practice (review of foreign studies) // Problems of modern pedagogical education Vol. 57, 321-329.
  4. Ireland D. et al. (2015). Chat-Bots for People with Parkinson’s Disease: Science Fiction or Reality? // Stud Health Technol Inform. Vol. 214, 128-133.
  5. Semigina T.V., Grieg I.M., Shevchuk. O.S. (2001). Introduced to the social work. K.: Fenix.
  6. Carmody J., Baer R.A. (2007). Relationships between mindfulness practice and levels of mindfulness, medical and psychological symptoms and well-being in a mindfulness-based stress reduction program // Journal of Behavioral Medicine. Vol. 31, №1, 23-33. phttps://doi.org/10.1007/s10865-007-9130-7
  7. Dedert E. et al. (2013). Computerized Cognitive Behavioral Therapy for Adults with Depressive or Anxiety Disorders. Отримано з: https://www.ncbi.nlm.nih.gov/books/ NBK269001/
  8. Arnberg F.K., Linton S.J., Hultcrantz M. et al. (2014). Internet Delivered Psychological Treatments for Mood and Anxiety Disorders: A Systematic Review of Their Efficacy, Safety, and Cost Effectiveness // PLoS ONE. Vol.9, №5, 45-52. phttps://doi.org/10.1371/journal.pone.0098118
  9. JMIR mHealth & uHealth - An Empathy-Driven, Conversational Artificial Intelligence Agent (Wysa) for Digital Mental Well-Being: Real-World Data Evaluation Mixed-Methods Study. Отримано з: https://mhealth.jmir.org/2018/11/e12106/. phttps://doi.org/10.2196/12106
  10. Digital therapeutics to improve cognitive impairment and related symptoms. Retrieved from: https://puretechhealth.com/programs/details/akili-endeavorrx
  11. Yurieva L.N (2002). Mental and behavioral disorders. K.: Sfera.
  12. Basics of working with AllFusion Process Modeler. Retrieved from:: http://khpi-iip.mipk.kharkiv.edu/library/technpgm/labs/lab01.html
  13. Levitin A. V. (2006). Algorithms. Introduction to development and analysis. M .: Williams.
  14. Vasilevskis E., Dubyak I., Basyuk T., Pasichnyk V., Rzheuskyi A. (2018). Mobile application for preliminary diagnosis of diseases // CEUR Workshop Proceedings. Vol. 2255: Proceedings of the 1st International workshop on informatics & Data-driven medicine (IDDM 2018), Lviv, Ukraine, 275-286.