Formation of information medical environment in different levels

Kozak, Lyudmila M.; Kovalenko, Alexander S.; Romanyuk, O.; Antomonov, M.Yu.; Omiotek, Zbigniew; Kalimoldayev, Maksat

doi:10.1117/12.2536412

Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019 2019

DOI: 10.1117/12.2536412

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Formation of information medical environment in different levels

Lyudmila M. Kozak¹,

Alexander S. Kovalenko²,

O. Romanyuk³

et al.

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Cited by 2 publications

References 15 publications

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Formalization of Technological Processes for Accounting and Storage of Information in a Healthcare Institution

Kovalenko¹,

Kozak²,

Romanyuk³

et al. 2020

Control syst. comput.

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Introduction. To ensure the effective delivery of health services, it is important to provide accessible mechanisms for interaction between different levels of health care and patients. mHealth, eHealth and other technological developments, such as telemedicine, constitute a new digital health paradigm. The purpose of the paper is to develop the formalized components of the digital medicine integrating environment to ensure effective interaction between patients, family physicians and health care workers at various levels. Results. The general structure of information flows of the integrative environment of digital medicine is described and the formalized representation of health care business processes are developed.An analysis of the characteristics of the main actors actively involved in medical care was provided, and the access level to medical information of each participant, which is an obligatory condition, in particular in the case of mobile medicine, was determined. To ensure the storage of this information, an infologicalmodel of the database was developed, indicating the internal links between the blocks of the database. Model elements are defined for each block: classes, attributes and operations (using UML). Conclusions. Formalized representation of eHealth business processes using mHealth reflects the interaction of participants in these processes (patient and different groups of health professionals) and information flows that arise in this interaction. To ensure reliable mechanisms for the digital medical data exchange, access levels were prescribed for each participant included in the eHealth system.

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Formalization of Technological Processes for Accounting and Storage of Information in a Healthcare Institution

Kovalenko¹,

Kozak²,

Romanyuk³

et al. 2020

Control syst. comput.

View full text Add to dashboard Cite

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Transformation of Clinical Decision Support Systems into FHIR Structures to Ensure Quality of Medical Care

Kovalenko¹,

Mishchenko²,

Kozak³

2019

Kibern. vyčisl. teh.

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The reform of the medical sector in Ukraine has given impetus to the development of eHealth and, as a consequence, the creation of medical registers systems and specialized medical information systems to support the operation of primary health care etc. One of the strategic directions of the health care system is to find and choose effective methods of managing the quality of care. The purpose of the paper is to analyze the conditions and opportunities for transformation of the clinical decision support system using standard Fast Healthcare Interoperability Resources (FHIR) structures to ensure health care quality control. Results. The current level of medical information systems development requires the application of the international standard FHIR, which are applied for the exchange of data between different systems of electronic medical records and between different components of the same electronic medical record (EMR) system, for standardization of interoperability. Uninterrupted improvement model, known as the Plan-Do-Check-Act (PDCA), which consists of four components-planning, executing, testing and improving own process, is considered. The characteristics of the FHIR standard are analyzed and ways of transforming the clinical decision support system based on this standard are identified. The concept of an abstract data node, ensuring terminological compliance, implementation of the Workflow data model, and other functions and tasks of the clinical decision support system are described. Conclusions. One of the important areas of eHealth development is to implement the information systems forcare quality managing based on modern information medical standards. Creation and implementation of effective methods for monitoring (identifying) diagnostic and treatment quality

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Formation of information medical environment in different levels

Cited by 2 publications

References 15 publications

Formalization of Technological Processes for Accounting and Storage of Information in a Healthcare Institution

Formalization of Technological Processes for Accounting and Storage of Information in a Healthcare Institution

Transformation of Clinical Decision Support Systems into FHIR Structures to Ensure Quality of Medical Care

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