Abstract

The current processes of recovery of post-infarction and post-stroke patients in the context of the establishment of the institution of family doctors and insurance medicine are considered. It was proposed to introduce modules for automation of recovery devices (MARD) to ensure procedures, quality of life and reduce labor costs during the period of long-term recovery. The forms of presentation of the model of the integral indicator are substantiated, which, in accordance with the requirements of the Ministry of Health, assesses the generalized indicator of the patient's statement (GIPS), the quality of medical services and increases the efficiency of data compression. A consistent application of two Euclidean norms is proposed, which leads indicators of dissimilar physical nature to a limited metric space. The relationship between the lower and upper bounds of the GIPS, the error, the width of the sliding window, and the values of the derivatives was established on the basis of the Taylor series expansion, geometric inequality and limited space. The model for evaluating the GIPS as a lower bound and the method for generating information about its properties are substantiated. A three-level comparator is applied and an vector- indicator (VI) is introduced as an informational addition to the time series. Additional capabilities for intelligent analysis are demonstrated. The model of GIPS through VI is presented. The examples of VI values are used to demonstrate its applicability to the intelligent analysis of the recovery process. Openness, accessibility, transparency of GIPS and VI as tools of KIT is implemented by the princes of public administration (PA) by reducing it to quantitative control and comparison if there are quantitative and qualitative indicators in the list. VI, sliding windows, as PA and KIT tools in software (SW) for a diagnostic conclusion and correction of the course of procedures, are numerically investigated. It is demonstrated on examples of a numerical experiment with software how the combined application of the method for calculating the GIPS and VI effectively affects the compression ratio, increasing it to 60–75 %

Highlights

  • Rehabilitation recovery of post-infarction and poststroke patients is carried out under the conditions of painstaking and careful diagnostic observation and long-term rehabilitation procedures [1]

  • The aim of research is to substantiate the forms of presentation of the model of the integral indicator, which meets the requirements of the Ministry of Health according to the list and is suitable to increase the efficiency of data compression in the MARD of post-infarction and post-stroke patients in accordance with the principles of public administration (PA) and to supplement the list of types of indicators, regardless of physical characteristics and quantity

  • 4/2 ( 112 ) 2021 quantitative and qualitative indicators for MARD post-infarction, post-stroke patients in accordance with the PA principles, which are implemented in practice due to their tools;

Read more

Summary

METHODS AND TOOLS

Doctor of Science in Public Administration, Professor Department of Local Self-Government and Regional Development* Gennady Gryshchenko. Candidate of Medical Sciences, Associate Professor, Director of Institute Medical Institute*. Viktor Ziuzin Doctor of Medical Sciences, Professor, Head of Department Department of Hygiene, Social Medicine, Public Health and Medical Informatics* Vitalii Koshovyi. How to Cite: Trunov, A., Beglytsia, V., Grishchenko, G., Zyuzin, V., Koshovyi, V. Methods and tools of formation of general indexes for automation of devices in rehabilitative medicine for post-stroke patients. Eastern-European Journal of Enterprise Technologies, 4 (2 (112)), 35–46.

Introduction
Literature review and problem statement
The aim and objectives of research
Findings
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call