COMPUTER ENGINEERING AND INFORMATION TECHNOLOGIES IN THE ASSESSMENT, DIAGNOSIS AND PREDICTION OF HUMAN CONDITIONS. ANALYTICAL REVIEW
DOI:
https://doi.org/10.11603/mie.1996-1960.2024.3-4.15459Keywords:
computer engineering, information technology, patient condition, patient condition monitoring, nanosensor technologies, mass rapid diagnosticsAbstract
Background. The trends in the development of wearable innovative devices for diagnostics and patient care in emergency situations, as well as in clinical conditions in emergency departments, monitoring conditions, etc. are analyzed. Special attention is paid to the use of the logic of stable patient conditions when justifying corrective actions. Remote monitoring technologies are considered separately. Specific principles of drone application are given. The purpose of the study was to generalize the experience of assessing and monitoring patient conditions.
Materials and Methods. A theoretical analysis and generalization of information on the assessment and monitoring of patients’ condition was carried out. The results of the study were systematized according to the databases of scientific periodicals: Web of Science, PubMed, Scopus, ScienceDirect, etc. Classical methods of searching and systematizing information were used at different stages of the study.
Results. The definition, assessment and management of personal health should be regarded today as the most important social problems that require an urgent solution; a new concept of the definition and assessment of individual and population health is proposed, which is based on the stationarity, as well as the dispersion characteristics of the criteria of the state of the organism under non-extreme environmental influences; the evaluation algorithm allows: to use heterogeneous information regarding the ranges of possible variation of the values of weight coefficients; to use non- numerical information regarding the comparative importance of individual indicators; unfortunately, existing monitoring systems do not determine the trends of indicators, which does not make it possible to ensure effective management of the general state of the organism; it is extremely important to create an analytical method for the dynamic identification of the states of the human body, based on the concept of temporal constancy, which will allow to identify and quantify network interactions between various physiological systems in monitoring tasks.
Conclusions. The approximate minimum number of signs/indicators of the human body for assessing its condition in mobile medicine tasks is determined by the degree of deviation of the functional state of the body at a specific time of the study from the baseline state. With a stable state of the body and a slight deviation, several indicators are sufficient (usually no more than 2-3).
For timely detection of deviations from the “norm”, it is necessary to ensure constant monitoring of indicators of the functional state of the human body.
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