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MATHEMATICAL SUPPORT OF THE INFORMATION SYSTEM FOR DECISION SUPPORT IN THE SPHERE OF HEALTHCARE | Danchenko | Scientific Journal of Astana IT University

MATHEMATICAL SUPPORT OF THE INFORMATION SYSTEM FOR DECISION SUPPORT IN THE SPHERE OF HEALTHCARE

O. Danchenko, D. Bedrii, O. Haidaienko, O. Bielova, O. Kravchenko, Y. Kuzminska

Аннотация


The relevance of the topic is that currently modern medical information systems are aimed at providing management, economic and in some cases medical practice in the collection and processing of anamnestic data, including dental, ophthalmological, radiological, anesthesiological, resuscitation. This study goal is to develop models of basic principles and structural and functional scheme of the decision support system as a tool that allows to model the process of “clinical thinking” of an endocrinologist in determining plans for drug treatment of diabetes based on a scenario approach and decision theory. In accordance with the set goal, the research tasks are formulated and solved, the essence of which is as follows: - analyze existing medical decision support systems and identify shortcomings of such systems; - creating the criteria for developing medical decision support systems to improve usability; - develop acceptable algorithms to create a medical decision support system. Recommendations for modeling the functions of the doctor’s intelligence in the process of processing and evaluation of medical information using a personal computer are offered, which will improve the operation of existing medical information systems. The research was conducted within the framework of project management methodology and decision theory using information technology tools. The algorithms for the creation a medical decision support system proposed by the authors are based on the method of multicriteria ranking of alternatives, which is a tool for modeling “clinical thinking” and logical reasoning of an endocrinologist. Unlike existing medical information systems, it will not only collect, store and process information about patients, but also increase the efficiency of endocrinologist decisions regarding the prediction and development of a patient treatment plan.

Ключевые слова


information technology, medical information system, making decisions, algorithm, strategy, health care system

Полный текст:

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Литература


Kovalenko, A.S. (2007). Features of designing information systems for a medical institution.

Electronics and communication, 2, 121-123.

Shevchuk, I.B. & Vaskiv, O.M. Theoretical aspects of development and application of information

technologies in economics and management: meso- and micro-level [Electronic resource]. Access

mode: http://www.sworld.com.ua/simpoz2/82.pdf.

Danchenko, O.B., Bedriі, D.I. & Semko, O.V. (2020). Review of information technologies for business

process management in organizations. Management of complex systems development, 44, 20-26.

Danchenko, E., Bakulich, O., Teslenko, P., Bedrii, D., Bielova, O. & Semko, I. (2021). Information

technology of integrated risk management of scientific projects under uncertainty and behavioral

economy. Scientific Journal of Astana IT University, 5, 63-77. DOI: 10.37943/AITU.2021.69.52.006.

Teslya, Yu.M. & Danchenko, O.B. (1998). Information technology for forming the risk base for the

construction of complex energy facilities. Bulletin of CHITI, 3, 158-161.

Teslenko, P., Danchenko, O., & Bas, D. (2019). Information technology of value-oriented management

of art projects. Materials of the IV international scientific-practical conference “Project, Program, Portfolio

Management (P3M)”, 153-156.

Yu, G.Y., & Martynenko, O.S. (2018). Chumachenko IV Dynamic analysis of project stakeholder

management methods and tools. Managing the development of complex systems: Coll. of Scient. works,

(35), 27-36.

Haidaienko, O.V. (2017). Information model of a medical project. Materials VI international scientificpractical conf. “Information control systems and technologies”, 340-342.

Haidaienko, O.V. (2018). Models and mechanisms of the value approach in management of medical

projects: author’s ref. dissertation of Cand. Tech. Sciences: 05.13.22 – project and program

management. Nat. un-t shipbuilding. them. adm. Makarova. Mykolaiv, 20.

Tsaras, K., Papathanasiou, I.V., Vus, V., Panagiotopoulou, A., Katsou, M.A., Kelesi, M., & Fradelos, E.C.

(2018). Predicting factors of depression and anxiety in mental health nurses: a quantitative crosssectional study. Medical Archives, 72(1), 62. doi:10.5455/medarh.2017.72.62-67.

Baiev, V.V., Bakhov, I.S., Fokina-Mezentseva, K., & Boretska, N. (2019). Strategic analysis of

development of medical tourism macro-destinations. Journal of Environmental Management &

Tourism, 10(4(36)), 801-808. doi:10.14505/jemt.v10.4(36).10.

Danchenko, O.B. (2015). Methodology of integrated deviation management in projects: author’s ref.

dissertation of Dr. Tech. Science: 05.13.22 – project and program management. Kyiv. nat. University

of Construction and Architecture, 45.

Diabetes mellitus in Ukraine: an epidemic without drugs and diagnoses Ukrainian National News

Agency 2007-2021. Access mode: https://www.unn.com.ua/uk/news/1762300-tsukroviy-diabet-vukrayini-epidemiya-bez-likiv-i-diagziv.

Genkin, A.A. (1999). New information technoligy of medical data analysis: Software complex

OMIS. St-Petersburg: Politekhnika.

Kovalenko, I.I. & Gozhiy, A.P. (2005). Methods and means of decision-making support. Nikolaev: Ilion,

Pishchikov, V.A., Mazepa Y.S. & Yashchenko, Y.B. (2015). Features of management decisions in health

care managers. Bulletin of problems of biology and medicine, 2, 1(118), 301-305.

Kovalenko, I.I., Gozhiy, A.P., Martsinkovsky, I.B. & Ponomarenko, T.V. (2008). Principles of building a

decision support system in the formation of a prognosis and treatment plans for arterial hypertension.

Science of the [Chornomorsk State University of Peter Mogili]. Ser.: Computer technologies, 90, 77, 114-

Access mode: http://nbuv.gov.ua/UJRN/Npchduct_2008_90_77_15.

Osipov, G.S. Dynamic models and tools using empirical and expert knowledge. Access mode: http://

www.raai.org/about/persons/osipov/pages/dokl_osipov.html.

Raikov, A. (16/01/2000). The foundation of corporate management. Access mode: http://www.osp.

ru/os/2000/01-02/022.html.

Tarasov, V.B. (1996). New strategies for reorganization and automation of enterprises: on the way to

intelligent enterprises. News of artificial intelligence, 4.

Sheredeko, Yu.L. (1998). Classification of information processes. Cognitive processes. Control systems

and machines of US and M, 1.

Expert systems in financial and economic activities. Articles by experts and employees of TORA-Center.

Access mode: http://www.tora-centre.ru/library/razn/finan.html.




DOI: http://dx.doi.org/10.37943/AITU.2021.89.31.003

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