scholarly journals Information system for monitoring of hypopituitarism in childhood and adolescence

2021 ◽  
Vol 2142 (1) ◽  
pp. 012017
Author(s):  
M O Rusakov ◽  
O S Krotova
Keyword(s):  
Information System ◽  
Programming Language ◽  
Medical Information ◽  
Information Storage ◽  
Medical Decision ◽  
Medical Information System ◽  
Childhood And Adolescence ◽  
Intellectual System ◽  
Intelligent Information ◽  
Personalized Approach

Abstract The article is devoted to the development of a medical information system (MIS) designed to monitor and predict hypopituitarism in children and teenagers. MIS combines the medical information storage and management system with an intellectual system of medical decision-making support. The information system is based on a database with information obtained from impersonal medical discharge papers of children and adolescents of the Altai Territory diagnosed with hypopituitarism. Medical discharge papers provide information about the patient’s health status while in the hospital, the results of examinations and treatment. Discharges form a complete medical history of the patient, and the information system allows assessing the disease in dynamics. The purpose of the intelligent information system is to predict the patient's growth in order to select the optimal treatment strategy. The intelligent decision support system is based on a machine-learning model trained on data from a database. The model was trained in the Python programming language. The MIS interface is developed using the C # programming language. The use of MIS in medical institutions will allow doctors to carry out a personalized approach to the monitoring and predicting the growth for patients, and to choose the optimal trajectory of treatment.

scholarly journals COGNITIVE SYSTEM OF THE HEPATORENAL SYNDROME SCREENING IN PERSONS WITH ALCOHOL ABUSE

2014 ◽  
pp. 132-140
Author(s):  
Alexey Lagunov ◽  
Darina Lagunova ◽  
Irina Berdennikova
Keyword(s):  
Information System ◽  
Hepatorenal Syndrome ◽  
Medical Information ◽  
Kidney Tissue ◽  
Primary Lesion ◽  
Medical Information System ◽  
The Past ◽  
Laboratory Markers ◽  
Intelligent Information ◽  
Syndrome Analysis

Increase in alcohol consumption is observed in all countries of the world. Over the past 20 years, consumption of alcohol correlated with the level of mortality from liver cirrhosis. Under the hepatorenal syndrome understand the primary lesion of the liver with subsequent involvement in the painful process of kidney tissue. In order to detection of hepatorenal syndrome in medical practice screening laboratory markers carried out manually. Introduction of medical information system can significantly improve the process of detecting disease in patients. The authors were unable to find an analogue of medical information system for the purpose of screening for hepatorenal syndrome. Analysis of the process of screening laboratory markers of hepatorenal syndrome allowed to create a client-server intelligent information system based on the Java SE platform using the management system database Firebird. Tests were carried out Arkhangelsk City Clinical Hospital № 1. Testing has shown that the time of diagnosis was reduced in comparison with traditional methods at 69%, with fewer specialists, while job satisfaction of physicians increased by 23%. Diagnostic accuracy hepatorenal syndrome is not dependent on the method of diagnosis. Testing program showed that the data that gives our program coincide with those of health professionals.

scholarly journals Medical information system for the rapid screening of cardiovascular risk in patients after coronary stenting

2020 ◽  
Vol 35 (4) ◽  
pp. 103-110
Author(s):  
G. S. Pushkarev ◽  
V. A. Kuznetsov ◽  
O. A. Guskova ◽  
L. M. Malishevsky
Keyword(s):  
Information System ◽  
Decision Support ◽  
Mortality Risk ◽  
Medical Information ◽  
Predictive Accuracy ◽  
Coronary Stenting ◽  
Medical Decision ◽  
Medical Information System ◽  
Medical Decision Support ◽  
Risk Scale

Aim. To develop and implement a decision support system for a software product – medical information system “1C: Medicine” in the form of calculator for assessment of the absolute risk of death from cardiovascular diseases (CVD) and to show the prospects of using this system for patients with coronary artery disease (CAD) after coronary stenting.Material and Methods. The medical information system “1C: Medicine” software interface was developed in Tyumen Cardiology Research Center. It was designed to assess 10-year absolute total mortality risk from CVD in males of working age (Tyumen Risk Scale (TRS)) to provide medical decision support. The program was tested in 764 male patients from the Prospective Registry of Percutaneous Coronary Interventions (PCI). The mean age of patients was 56.9 ± 8.8 years. All death cases, recorded within a year after PCI (n = 23), were used as the status check variable. The following algorithms were chosen to compare the predictive accuracy of the integrated model: PROCAM and FRAMINGHAM. The Schwarz information test and ROC analysis data were used to assess the predictive accuracy of the models.Results. The values of Schwarz’s criterion in males were 283 for TRS, 235 for PROCAM, and 490 for FRAMINGHAM model. AUC indicator for TRS was 0.655 (95% CI 0.510–0.800), suggesting the satisfactory quality of resulting model. AUC indicators for FRAMINGHAM and PROCAM algorithms were 0.599 (95% CI 0.442–0.757) and 0.653 (95% CI 0.509–0.796), respectively.Conclusion. The created TRS, integrated into the medical information system with psychosocial factors, may be quickly and successfully implemented to determine mortality risk in CAD patients within one year after coronary stenting. The TRS has an advantage over the traditional FRAMINGHAM risk scale and non-inferior to the PROCAM scale. Therefore, TRS may be used as a medical decision support program.

scholarly journals DATA STRUCTURE OF MEDICAL INFORMATION ORGANIZATION AND SELECTING OPTIMAL PATIENT TREATMENT STRATEGIES

2021 ◽  
Vol 87 (2) ◽  
pp. 24-30
Author(s):  
Oleksandr Davydko ◽  
Liliia Levchyk ◽  
Olexiy Khlimenkov ◽  
Olga Averianova
Keyword(s):  
Data Structure ◽  
Medical Information ◽  
Treatment Strategies ◽  
Clinical Information ◽  
Information Storage ◽  
Information Organization ◽  
Medical Decision ◽  
Medical Information System ◽  
Patient Treatment ◽  
Treatment Optimization

Purpose: The purpose of this article is to develop a clinical information storage and medical decision support system for daily use by physicians during their work with patients. Methods: The article considered approaches to achieve the research goal through the creation of a backend on Django Rest Framework, as well as the application of the simplex method to perform treatment optimization. Results: A server-side software product was obtained, where a special database was implemented, which takes into account the requirements for the data structure of the organization of medical information, and a module for selecting optimal treatment strategies for patients was created. Discussion: The conducted research allowed us to obtain a prototype of medical information system, which will be useful due to its versatility in the data structure of the organization of medical data and the use of machine learning methods to optimize treatment strategies.

Quality Control in a Medical Information System

1991 ◽  
Vol 11 (4_suppl) ◽  
pp. S57-S60
Author(s):  
Peter J. Haug ◽  
Philip R. Frederick ◽  
Irena Tocino
Keyword(s):  
Information System ◽  
Quality Assurance ◽  
Quality Management ◽  
Medical Information ◽  
Medical Decision ◽  
Medical Information System ◽  
Management Quality ◽  
Management Procedures ◽  
Decision Making Processes ◽  
Computerized Medical Information

Quality assurance techniques provide an opportunity to identify sources of error and to provide the feedback necessary to prevent their repetition. The authors outline an effort to define the steps required for effective quality management procedures in a computerized medical information system (MIS). The computerized management of medical information can be used not only to enhance current quality management activities but also to extend the realm of quality assurance to areas that have heretofore resisted management. Quality-management techniques have the potential for measuring and improving medical decision making processes central to patient care.

Current Status of a Medical Information System

1970 ◽  
Vol 09 (03) ◽  
pp. 149-160 ◽  
Author(s):  
E. Van Brunt ◽  
L. S. Davis ◽  
J. F. Terdiman ◽  
S. Singer ◽  
E. Besag ◽  
...  
Keyword(s):  
Information System ◽  
Medical Records ◽  
Medical Information ◽  
Clinical Laboratory ◽  
Development Program ◽  
Medical Data ◽  
Direct Access ◽  
Medical Information System ◽  
Current Status ◽  
Central System

A pilot medical information system is being implemented and currently is providing services for limited categories of patient data. In one year, physicians’ diagnoses for 500,000 office visits, 300,000 drug prescriptions for outpatients, one million clinical laboratory tests, and 60,000 multiphasic screening examinations are being stored in and retrieved from integrated, direct access, patient computer medical records.This medical information system is a part of a long-term research and development program. Its major objective is the development of a multifacility computer-based system which will support eventually the medical data requirements of a population of one million persons and one thousand physicians. The strategy employed provides for modular development. The central system, the computer-stored medical records which are therein maintained, and a satellite pilot medical data system in one medical facility are described.

Software for medical information system for audit and analysis of patients with gastrointestinal bleedings

2015 ◽  
Vol 11 (12) ◽  
pp. 73-79
Author(s):  
I.D. Duzhyi ◽  
◽  
V.V. Gorokh ◽  
O.V. Trubilko ◽  
S.V. Kharchenko ◽  
...  
Keyword(s):  
Information System ◽  
Medical Information ◽  
Medical Information System
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