Objective: Introduction: In the medical field, using of information-analytical technologies and expert systems is becoming increasingly common. Therefore, the problem of quality of normative acts (documents), which unify the standards of the newest methods of medical activity, becomes urgent. But, unfortunately, legal experts state that there is a problem of errors in regulations of different branches of rulemaking. A rulemaking error can be recognized as inconsistency of a text or a rule of law's content regarding its purpose. There are two types of legal errors: purely textual and substantive (algorithmic). The aim: The aim of the article is to demonstrate the possibilities of using information technology based on BPMN to display algorithms and identify algorithmic errors in regulations that adjust activities of health care professionals.
Patients And Methods: Materials and methods: It is used BPMN (Business Process Model And Notation) technology in the research. With its help, a logical-analytical check of algorithm scheme for treatment of abnormal uterine bleeding, provided in the normative document of the Ministry of Health of Ukraine "Unified Clinical Protocol of Primary, Secondary (specialized) and Tertiary (highly specialized) Medical Care. Abnormal Uterine Bleeding", approved by the order of the Ministry of Health of Ukraine on 13.04.2016, No. 353. Algorithmic errors in the scheme were checked using Microsoft Visio software. According to the results of the logical-analytical examination of the mentioned normative act's text, a scheme of algorithm for treatment of abnormal uterine bleeding in BPMN was constructed.
Results: Results: The use of the proposed BPMN-based information technology and Microsoft Visio software allows you to control the algorithmic nature of regulated medical practice processes and to detect errors, to create visual models of schematically regulated medical practice algorithms.
Conclusion: Conclusions: The proposed information technology, based on BPMN can be used to display algorithms and detect errors in regulatory acts that adjust activity of medical professionals.
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