Volodymyr Kylivnyk, S. Rudyk, O. Hladkyi, T. Tkachenko
{"title":"Use of Information Technologies for Clinical Decision-Making in Medical Rehabilitation","authors":"Volodymyr Kylivnyk, S. Rudyk, O. Hladkyi, T. Tkachenko","doi":"10.1109/PICST47496.2019.9061341","DOIUrl":null,"url":null,"abstract":"Use of modern information technologies in medical diagnosis is considered for making clinical decisions in the medical rehabilitation (MR). Main parameters necessary for making optimal clinical solutions are distinguished. Method developed in compliance with the general algorithm of the decisionmaking theory is applied for making specific rehabilitation programs [6]. Probability of making diagnosis in the presence of symptoms is assessed by means of the Bayes theorem. Potential and real models of clinical solutions are presented, as well as the general algorithm of decision-making for rehabilitation intervention (patient’s history, clinical diagnosis specification, assessment of morphometry measurements, assessment of functional capabilities, choice of the alternative, indication/contraindication for rehabilitation. In the absence of contraindications: identifying tasks, means, rehabilitation methods, determining motion state and load parameters). With this in view in-depth theoretical analysis of this problem in Ukraine and abroad is carried out.","PeriodicalId":6764,"journal":{"name":"2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T)","volume":"56 10 1","pages":"523-526"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PICST47496.2019.9061341","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Use of modern information technologies in medical diagnosis is considered for making clinical decisions in the medical rehabilitation (MR). Main parameters necessary for making optimal clinical solutions are distinguished. Method developed in compliance with the general algorithm of the decisionmaking theory is applied for making specific rehabilitation programs [6]. Probability of making diagnosis in the presence of symptoms is assessed by means of the Bayes theorem. Potential and real models of clinical solutions are presented, as well as the general algorithm of decision-making for rehabilitation intervention (patient’s history, clinical diagnosis specification, assessment of morphometry measurements, assessment of functional capabilities, choice of the alternative, indication/contraindication for rehabilitation. In the absence of contraindications: identifying tasks, means, rehabilitation methods, determining motion state and load parameters). With this in view in-depth theoretical analysis of this problem in Ukraine and abroad is carried out.