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.

Quality Assurance through Automated Monitoring and Concurrent Feedback Using a Computer-Based Medical Information System

Medical Care ◽  
1978 ◽  
Vol 16 (11) ◽  
pp. 962-970 ◽  
Author(s):  
G Octo Barnett ◽  
Richard Winickoff ◽  
Joseph L. Dorsey ◽  
Mary M. Morgan ◽  
Robert S. Lurie
Keyword(s):  
Information System ◽  
Quality Assurance ◽  
Medical Information ◽  
Medical Information System ◽  
Automated Monitoring ◽  
Computer Based

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 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.

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.

Coordinating Medical Literature with Patient Care

1977 ◽  
Vol 16 (04) ◽  
pp. 234-240 ◽  
Author(s):  
Joann Gustafson ◽  
J. Nelson ◽  
Ann Buller
Keyword(s):  
Health Care ◽  
Medical Staff ◽  
Medical Information ◽  
Medical Literature ◽  
Medical Information System ◽  
Staff Members ◽  
Information Displays ◽  
Medical Displays ◽  
Computerized Medical Information ◽  
The Given

The contribution of a special library project to a computerized problem-oriented medical information system (PROMIS) is discussed. Medical information displays developed by the PROMIS medical staff are accessible to the health care provider via touch screen cathode terminals. Under PROMIS, members of the library project developed two information services, one concerned with the initial building of the medical displays and the other with the updating of this information. Information from 88 medical journals is disseminated to physicians involved in the building of the medical displays. Articles meeting predetermined selection criteria are abstracted and the abstracts are made available by direct selective dissemination or via a problem-oriented abstract file. The updating service involves comparing the information contained in the selected articles with the computerized medical displays on the given topic. Discrepancies are brought to the attention of PROMIS medical staff members who evaluate the information and make appropriate changes in the displays. Thus a feedback loop is maintained which assures the completeness, accuracy, and currency of the computerized medical information. The development of this library project and its interface with the computerized health care system thus attempts to deal with the problems in the generation, validation, dissemination, and application of medical literature.

Quality assurance and quality improvement in medical practice – Part 1. Definition and importance of quality in medical practice

2012 ◽  
Vol 153 (3) ◽  
pp. 83-92
Author(s):  
Sándor Gődény
Keyword(s):  
Quality Assurance ◽  
Health Status ◽  
Quality Management ◽  
Medical Practice ◽  
Quality Measurement ◽  
The European Union ◽  
Management Quality ◽  
Hungarian Population ◽  
Healthcare Finance

In Hungary healthcare finance has decreased in proportion with the GDP, while the health status of the population is still ranks among the worst in the European Union. Since healthcare finance is not expected to increase, the number of practicing doctors per capita is continuously decreasing. In the coming years it is an important question that in this situation what methods can be used to prevent further deterioration of the health status of the Hungarian population, and within this is the role of the quality approach, and different methods of quality management. In the present and the forthcoming two articles those standpoints will be summarized which support the need for the integration of quality assurance in the everyday medical practice. In the first part the importance of quality thinking, quality management, quality assurance, necessity of quality measurement and improvement, furthermore, advantages of the quality systems will be discussed. Orv. Hetil., 2012, 153, 83–92.

Sign in / Sign up

Export Citation Format

Share Document