• 제목/요약/키워드: Health decision system

검색결과 373건 처리시간 0.021초

다중흐름모형을 적용한 서울형 유급병가 정책 도입과정에 관한 연구 (A Study on the Policy Decision Making Process of Seoul-Type Paid Sick Leave: Applying Kingdon's Multiple Streams Model)

  • 정현우;박소현;손민성;정혜주
    • 보건행정학회지
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    • 제30권3호
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    • pp.286-300
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    • 2020
  • In 2019, the Seoul metropolitan government established its own 'Seoul-type paid sick leave project'. Although the central government had to introduce such a system, which is also called sickness benefits, it was not implemented. In order to understand the process by which the Seoul government has implemented such a policy, this study used Kingdon's multiple streams framework. As a result, in the problem stream, it was found that the economic burden of sickness has been considered only in terms of medical expenses in the past of Korea. Then Songpa's three women and Middle East respiratory syndrome incidents raised awareness of the necessity of the sickness benefit system in 2014 and 2015. In the political stream, several social affairs such as national health insurance huge surpluses and the 2017 presidential election opened policy window. At that time, Seoul Mayor actively promoted sickness benefits as a policy entrepreneur. In the policy stream, the sickness benefit system has gained new attention through political events. To summary, these three streams flowed separately and then they assembled around huge political affairs. As a result, it was confirmed that Kingdon's model is the most effective theory than any other models in analyzing the health care policy decision process in Korea.

Analysis of Healthcare Quality Indicator using Data Mining and Decision Support System

  • Young M.Chae;Kim, Hye S.;Seung H. Ho
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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    • pp.352-357
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    • 2001
  • This study presents an analysis of healthcare quality indicators using data mining for developing quality improvement strategies. Specifically, important factors influencing the inpatient mortality were identified using a decision tree method for data mining based on 8,405 patients who were discharged from the study hospital during the period of December 1, 2000 and January 31, 2001. Important factors for the inpatient mortality were length of stay, disease classes, discharge departments, and age groups. The optimum range of target group in inpatient healthcare quality indicators were identified from the gains chart. In addition, a decision support system was developed to analyze and monitor trends of quality indicators using Visual Basic 6.0. Guidelines and tutorial for quality improvement activities were also included in the system. In the future, other quality indicators should be analyze to effectively support a hospital-wide continuous quality improvement (CQI) activity and the decision support system should be well integrated with the hospital OCS (Order Communication System) to support concurrent review.

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Systematizing Information Use to Address Determinants of Health Worker Health in South Africa: A Cross-sectional Mixed Method Study

  • Muzimkhulu Zungu;Annalee Yassi ;Jonathan Ramodike;Kuku Voyi;Karen Lockhart;David Jones;Spo Kgalamono;Nkululeko Thunzi;Jerry Spiegel
    • Safety and Health at Work
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    • 제14권4호
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    • pp.368-374
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    • 2023
  • Background: Recognizing that access to safe and healthy working conditions is a human right, the World Health Organization (WHO) calls for specific occupational safety and health (OSH) programs for health workers (HWs). The WHO health systems' building blocks, and the International Labour Organization (ILO), highlight the importance of information as part of effective systems. This study examined how OSH stakeholders access, use, and value an occupational health information system (OHIS). Methods: A cross-sectional survey of OSH stakeholders was conducted as part of a larger quasi experimental study in four teaching hospitals. The study hospitals and participants were purposefully selected and data collected using a modified questionnaire with both closed and open-ended questions. Quantitative analysis was conducted and themes identified for qualitative analysis. Ethics approval was provided by the University of Pretoria and University of British Columbia. Results: There were 71 participants comprised of hospital managers, health and safety representatives, trade unions representatives and OSH professionals. At least 42% reported poor accessibility and poor timeliness of OHIS for decision-making. Only 50% had access to computers and 27% reported poor computer skills. When existing, OHIS was poorly organized and needed upgrades, with 85% reporting the need for significant reforms. Only 45% reported use of OHIS for decision-making in their OSH role. Conclusion: Given the gap in access and utilization of information needed to protect worker's rights to a safe and healthy workplace, more attention is warranted to OHIS development and use as well as education and training in South Africa and beyond.

Data Mining for Knowledge Management in a Health Insurance Domain

  • Chae, Young-Moon;Ho, Seung-Hee;Cho, Kyoung-Won;Lee, Dong-Ha;Ji, Sun-Ha
    • 지능정보연구
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    • 제6권1호
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    • pp.73-82
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    • 2000
  • This study examined the characteristicso f the knowledge discovery and data mining algorithms to demonstrate how they can be used to predict health outcomes and provide policy information for hypertension management using the Korea Medical Insurance Corporation database. Specifically this study validated the predictive power of data mining algorithms by comparing the performance of logistic regression and two decision tree algorithms CHAID (Chi-squared Automatic Interaction Detection) and C5.0 (a variant of C4.5) since logistic regression has assumed a major position in the healthcare field as a method for predicting or classifying health outcomes based on the specific characteristics of each individual case. This comparison was performed using the test set of 4,588 beneficiaries and the training set of 13,689 beneficiaries that were used to develop the models. On the contrary to the previous study CHAID algorithm performed better than logistic regression in predicting hypertension but C5.0 had the lowest predictive power. In addition CHAID algorithm and association rule also provided the segment characteristics for the risk factors that may be used in developing hypertension management programs. This showed that data mining approach can be a useful analytic tool for predicting and classifying health outcomes data.

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학교보건 증진을 위한 데이터베이스의 개발 및 관리 (Development and Management of Database for School Health Improvement)

  • 정혜명
    • 한국보건간호학회지
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    • 제18권1호
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    • pp.154-166
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    • 2004
  • The purpose of this study was to design and implementation of database for school health activity. This database system was designed stand-alone application for college school health center without a hospital affiliation and the database system was made of relational database management system, Microsoft access 2000 to be made GUI (Graphic user interface) type design and made up 7 tables: patients. symptoms. departments, income and outgo. medical cures. and medicine. The construction of this database system was patient management. code management. medicine management. and statistics management. The results of the database system were as follows; 1) This database system could be used for college school health center. 2) This database system could be made correct statistic data. 3) This database system could be managed income and outgo. 4) This database system could be changed for the better activity of community health service. 5) This database system could be simply attired administrative system. This database system will be used for students and employees to protect and promote health to measure for health level and quality of health service. In conclusion. this database system can be applied for unit health center to manage the college school health activity and advanced data management can be applied for health profession to do quality improvement. cost containment. management information system. and decision support system.

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대학생의 취업스트레스, 진로결정 자기효능감 및 사회적 지지가 정신건강에 미치는 영향 (The Impacts of Job-Seeking Stress, Career Decision-Making self Efficacy and Social Support on mental health of University Students)

  • 정지나
    • 디지털융복합연구
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    • 제18권2호
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    • pp.489-498
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    • 2020
  • 본 연구의 목적은 대학생의 취업스트레스, 진로결정 자기효능감 및 사회적 지지가 정신건강에 미치는 영향을 파악하기 위한 서술적 조사연구이다. 자료 수집은 J도에 소재한 3개 대학의 대학생 429명을 대상으로 구조화된 설문지를 이용하여 실시하였다. 수집된 자료는 SPSS 24.0 프로그램을 이용하여, t-test, ANOVA, 피어슨 상관분석, 회귀분석을 실시하였다. 본 연구의 결과 정신건강은 취업스트레스와 양의 상관관계를 보였으며, 진로결정 자기효능감 및 사회적 지지와 통계적으로 유의한 음의 상관관계를 보였다. 정신건강에 영향을 미치는 변인은 취업스트레스, 사회적 지지 순으로 나타났으며, 설명력은 48.9%이었다. 대학생의 정신건강을 증진시키기 위하여 영향요인인 취업스트레스를 고려한 정신건강 증진 방안을 개발하고 적용할 필요가 있다고 사료된다. 또한, 정신건강을 위한 지원체계를 확립하고 유지하는 것이 중요하다.

The Development of Clinical Decision Support System for Diagnosing Neurogenic Bladder

  • Batmunh, Nyambat;Chae, Young M.
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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    • pp.478-485
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    • 2001
  • In this study, we have developed a prototype of clinical decision support systems (CDSS) for diagnosing neurogenic bladder and compared its predicted diagnoses with the actual diagnoses using 92 patient\`s Urodynamic study cases. The CDSS was developed using a Visual Basic based on the evidence-based rules extracted from guidelines and other references regarding a diagnosis of neurogenic bladder. To compare with the 92 final diagnoses made by doctors at the Yonsei Rehabilitation Center, we classified all diagnoses into 5 groups. The predictive rates of the CDSS were: 48.0% for areflexic neurogenic bladder; 60.0% for hyperreflexic neurogenic bladder in a spinal shock recovery stage; 72.9% for hyperreflexic neurogenic bladder, and 80.0% for areflexic neurogenic bladder in a spinal shock stage, which was the highest predicted rate. There were only 2 cases for hyperreflexic neurogenic bladder in a well controlled detrusor activity, and its predictive rate was 0%. The study results showed that CDSS for diagnosing neurogenic bladder could provide a helpful advice on decision-making for doctors. The findings also suggest that physicians should be involved in all development stages to ensure that systems are developed in a fashion that maximizes their beneficial effect on patient care, and that systems are acceptable to both professionals and patients. The future studies will concentrate on including more validating the system.

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학교보건 실무 프로토콜 개발: 초등학교를 대상으로 (Development of Protocols for School Health Practice: Focusing on Primary School)

  • 김진희;소향숙
    • 한국학교보건학회지
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    • 제32권3호
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    • pp.152-164
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    • 2019
  • Purpose: This study was a descriptive methodological study to develop protocols for school health practice to manage health problems of primary school students effectively. Methods: The protocols were verified by 12 experts and 10 health teachers, respectively, to secure a two-step content validity. Results: The main 8 health problems of primary school students were headache, abdominal pain, musculo-skeletal, respiratory, circulatory, ophthalmic, and oral-dental problems, and fever. The developed protocols consist of 8 algorithms, which are to help decision making in the course of assessing health problems and to identify and link related factors and associated symptoms, 8 school nursing records based on the Omaha classification system, and the list of 441 links between nursing assessment and nursing intervention. Conclusion: The use of the protocols is expected to make it easier for health teachers to apply the nursing process in solving the health problems of primary school students and supporting the rational decision making process, eventually improving the quality of primary school health. Repeated studies for protocol standardization as well as studies dealing with various health problems not included in the protocols should be performed for the development of school health practice protocols.

Comparative Study of Health Care System in Three Central Asian Countries: Kazakhstan, Kyrgyzstan, Uzbekistan

  • Dronina, Yuliya;Nam, Eun Woo
    • 보건행정학회지
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    • 제29권3호
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    • pp.342-356
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    • 2019
  • Background: The objectives of the study are to find out the effect of the implementing reform in three Central Asian countries, identify its impact on health status and health care delivery systems. This study address to identify strong and weak points of the health systems and provide a recommendation for further health care organization. Methods: A comparative analysis was conducted to evaluate the effects of implemented policy on health care system efficiency and equity. Secondary data were collected on selected health indicators using information from the World Health Organization Global Health Expenditure Database, European Health Information Platform, and World Bank Open Data. Results: In terms of population status, countries achieved relatively good results. Infant mortality and under-5 mortality rate decreased in all countries; also, life expectancy increased, and it was more than 70 years. Regulations of the health systems are still highly centralized, and the Ministry of Health is the main organ responsible for national health policy developing and implementation. Among the three countries, only Kyrgyzstan was successful in introducing a national health system. Distribution of health expenditure between public expenditure and out-of-pocket payments was decreased, and out-of-pocket payments were less the 50% of total health expenditure in all countries, in 2014. Conclusion: After independent, all three countries implemented a certain number of the policy reform, mostly it was directed to move away from the old the Soviet system. Subsequent reform should be focused on evidence-based decision making and strengthening of primary health care in terms of new public health concepts.