• Title/Summary/Keyword: Healthcare management

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The Urgency of Reforming the Healthcare System for the Aged Society (고령사회에 대응한 보건의료체계 개편의 시급성)

  • Park, Eun-Cheol
    • Health Policy and Management
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    • v.28 no.2
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    • pp.105-106
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    • 2018
  • Korea, which entered the aged society in 2018, is accelerating the progress of the aged society due to the rapid decrease in birth. Although the low birth rate is the important issue, comprehensive measures to cope with the aged society should be established. In particular, the reform of the healthcare system in response to the aged society is very urgent. The reorganization of the healthcare system in response to the aged society should focus on improving the functional abilities of the elderly and should be transformed into integrated older person-centered health service. The benefit package of National Health Insurance should be diversified and appropriate payment of each benefit package should be applied. The ageism should be overcame, and it is important to recognize that the measures for the older person are investments in future society. The reform of healthcare system for older person are very urgent in Korea, which is advancing into a rapidly aged society.

Unmet Healthcare Needs due to the Economic, Physical, and Time Burden among Older People with Chronic Diseases (만성질환 노인의 경제적 부담, 물리적, 시간적 제약으로 인한 미충족 의료 요인)

  • Bicna Lee;Seok-Jun Yoon
    • Health Policy and Management
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    • v.33 no.4
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    • pp.389-399
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    • 2023
  • Background: The purpose of this study is to analyze the factors affecting the unmet healthcare needs of older people with chronic diseases in Korea and provide a basic research report to strengthen their access to medical care. Methods: In the 2020 older people survey data, 8,182 older people aged 65 or older who were diagnosed with one or more chronic diseases were the final subjects of the study. According to Andersen's behavioral model used in unmet healthcare needs, independent variables were composed of predisposing factors, possible factors, and necessary factors, and whether or not unmet healthcare needs was set as dependent variable. Results: Of the older people with chronic diseases, 1.6% experienced unmet healthcare needs, of which 55.9% experienced unmet healthcare needs for reasons related to economic burden, 31.6% physical constraints, and 12.5% time constraints. As a result of the analysis, older people with chronic diseases were more likely to experience unmet healthcare needs if they were relatively low in age, low in education level, no spouse, low in household income, poor subjective health, complex chronic diseases, and functional restrictions. However, by major reasons for experiencing unmet healthcare needs, living in rural areas were more likely to experience unmet healthcare needs due to physical constraints, and those who participated in economic activities and who had were more likely to experience unmet healthcare needs due to time burden. These results were not derived when only unmet healthcare needs was set as the dependent variable. Conclusion: This study emphasizes the need for an approach by cause of unmet medical occurrence by suggesting that there are differences in influencing factors by reason for experiencing unmet healthcare needs.

U-healthcare Service Management Scheme for Big Data of Patient Infomation (환자 정보를 빅 데이터화 하기 위한 유헬스케어 서비스 관리기법)

  • Jeong, Yoon-Su
    • Journal of Convergence Society for SMB
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    • v.5 no.1
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    • pp.1-6
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    • 2015
  • Recently the disease by eating of the modern prevention, management, and trends in the u-healthcare service that provides healthcare services including health promotion is changing rapidly. However, u-healthcare service is a healthcare information that provides users of the disease can not be analyzed even if the service is stored or not stored in the management server status is giving the inconvenience caused to users of the health services. In this paper, we propose a management method of health care services and a big data formation information that provides users of the disease to facilitate the users of health care services through the use magazine big data information regardless of time and place. The proposed method has the user's bio-information and the measured health information and transmits data through a wired or wireless communication to the medical institution and the user's health information data formation by the big user of the analysis of the health information and the disease of the user feedback to the user.

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A Study of Factors Related to the Subjective Health Status of Elderly Population in Korea (우리나라 노인인구의 주관적 건강상태 관련 요인에 관한 연구)

  • Han, Sang-Hee;Kang, Jung Kyu;Hong, Jae-Seok
    • Health Policy and Management
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    • v.31 no.1
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    • pp.56-64
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    • 2021
  • Background: Despite the high life expectancy, the subjective health status of the elderly people in Korea is reported to be the lowest as compared to other age groups. The purpose of the conducted study was to identify the factors related to the subjective health status of elderly people aged over 65 in Korea. Methods: This study used data from the 7th Korea National Health and Nutrition Examination Survey (2016-2017) of the Korea Disease Control and Prevention Agency. The subjects of the study were selected to be 2,904 elderly people aged over 65. The factors that were selected related to subjective health status were socio-demographics, perceived diseases, health behaviors, and mental health. Results: As a result of the examination of the subjective health status according to the characteristics of the subjects of study, the subjective health status was high in males (β=0.144, p=0.011), urban dwellers (β=0.107, p=0.015), employed persons (β=0.139, p=0.001), college graduates (β=0.322, p<0.001), persons with high household income (β=0.226, p<0.001), persons without chronic disease, nonsmokers (β=0.146, p=0.009), drinkers (β=0.111, p=0.003), persons who practiced aerobic physical activity (β=0.150, p<0.001), persons without depression (β=0.286, p<0.001), and persons who rarely had stress (β=0.837, p<0.001). Conclusion: More attention should be paid to those with low subjective health to improve health for elderly people. Expanding policy supports are required for elderly people with low socioeconomic status, chronic disease or depression, or unhealthy behaviors (smoking or lack of physical activity).

A qualitative study on job-seeking stress for university students majoring healthcare (보건계열 대학생의 취업 스트레스에 관한 질적 연구)

  • Oh, Yeseul;Oh, Eun-Hwan
    • The Journal of Korean Society for School & Community Health Education
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    • v.14 no.1
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    • pp.25-36
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    • 2013
  • Objectives: The study was performed to investigate job-seeking stress for university students who have a major in healthcare. Methods: For the analysis, 10 fourth-year students who are willing to get a job were interviewed. Interviews were conducted from October 2011 to November 2011 for 2 weeks. The data were collected with semi-structured open-ended questions and analysed by the method of Consensual Qualitative Research(CQR). Results: The main reasons for the job-seeking stress for students were insufficient preparation for getting a job, uncertainty, anxiety, pressure, and age. A reinforcing factor for stress was family. Conclusions: Universities should provide educational, psychological, and economic supports to job-seeking students majoring healthcare because of their relatively fewer opportunities for getting a job compared to those who have a major in non-healthcare.

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The Priority Analysis on the Financing of Healthcare Institutions in Korea (의료기관 자본조달 우선순위 분석)

  • Lee, Woo-Chun;Ahn, Young-Chang
    • Korea Journal of Hospital Management
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    • v.13 no.3
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    • pp.1-16
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    • 2008
  • According to Myers (1984) and Myers and Majluf(1984), there exists a financial hierarchy from internal to external financing, from long-tenn debt to equity, due to information costs. The purpose of this study is to assess the profit-making corporation of healthcare institutions. Data was collected from 130 hospital presidents and financial managers. We analysed the frequency and one way ANOVA by SPSS Windows 14.0K. The major findings of the study were as follows: We found that the priorities which a healthcare institutions financing were internal financial, other allowance, a credit loan, a security loan, and a lease through this study. The priorities which a healthcare institutions raised the capital differed as to the number of beds and revenues. The priorities were no difference from ownership, location and an annual business.

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Research Trend on Machine Learning Healthcare Based on Keyword Frequency and Centrality Analysis : Focusing on the United States, the United Kingdom, Korea (키워드 빈도 및 중심성 분석 기반의 머신러닝 헬스케어 연구 동향 : 미국·영국·한국을 중심으로)

  • Lee Taekkyeun
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.19 no.3
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    • pp.149-163
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    • 2023
  • In this study we analyze research trends on machine learning healthcare based on papers from the United States, the United Kingdom, and Korea. In Elsevier's Scopus, we collected 3425 papers related to machine learning healthcare published from 2018 to 2022. Keyword frequency and centrality analysis were conducted using the abstracts of the collected papers. We identified keywords with high frequency of appearance by calculating keyword frequency and found central research keywords through the centrality analysis by country. Through the analysis results, research related to machine learning, deep learning, healthcare, and the covid virus was conducted as the most central and highly mediating research in each country. As the implication, studies related to electronic health information-based treatment, natural language processing, and privacy in Korea have lower degree centrality and betweenness centrality than those of the United States and the United Kingdom. Thus, various convergence research applied with machine learning is needed for these fields.

Transforming Patient Health Management: Insights from Explainable AI and Network Science Integration

  • Mi-Hwa Song
    • International Journal of Internet, Broadcasting and Communication
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    • v.16 no.1
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    • pp.307-313
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    • 2024
  • This study explores the integration of Explainable Artificial Intelligence (XAI) and network science in healthcare, focusing on enhancing healthcare data interpretation and improving diagnostic and treatment methods. Key methodologies like Graph Neural Networks, Community Detection, Overlapping Network Models, and Time-Series Network Analysis are examined in depth for their potential in patient health management. The research highlights the transformative role of XAI in making complex AI models transparent and interpretable, essential for accurate, data-driven decision-making in healthcare. Case studies demonstrate the practical application of these methodologies in predicting diseases, understanding drug interactions, and tracking patient health over time. The study concludes with the immense promise of these advancements in healthcare, despite existing challenges, and underscores the need for ongoing research to fully realize the potential of AI in this field.

A Comparison Research on the Expected Satisfaction and Actual Satisfaction on VOC of one General Hospital (서울소재 일개 종합병원의 CRM에 대한 기대만족도와 실제만족도 비교와 VOC활용)

  • Ma, Yeon-Ji;Kim, Jeong-Ah;Park, Seung-Woo;Oh, Eun-Hwa;Moon, So-Young;Rhee, Hyun-Sill
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.3
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    • pp.1146-1152
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    • 2010
  • The Korean healthcare industry is rapidly changing along with the competition among hospitals. In the past, hospitals could make profit without designing competitive management strategies. Thus, they did not find importance in listening to customers' voices and identifying their wants. However, nowadays, the increasingly intense competition is encouraging hospitals to seriously consider competitive management strategies and Customer Relationship Management (CRM) activities to gain a competitive advantage and prosper. It tries to compare the expected satisfaction with the satisfaction of out-patient and in-patient and analysis of VOC(Voice of Customer). This survey was done from 27th, April, 2009 to 8th May and each 100 in-patients and out-patients. The paired t-test and descriptive analysis was used to analysis between before and after satisfaction. The result, the replied out-patients were the highest of I.M department, 43% and in-patients, surgery and other department are the highest each 22.0%. Nurses kindness is statistical significant in out-patients. Doctor, Nurse and staff's kindness and rounding service was statistical significant in in-patients. Totally, the satisfaction was lower than expected satisfaction, so the medical care institutions should analyst detailed the patient's satisfaction by VOC.

The Fitness and Organizational performance Analysis of Hospital Specialization Strategy Types (병원전문화 전략유형의 적합성과 조직성과 분석)

  • Kim, Han-Sung;Kim, Young-Hoon;Woo, Jung-Sik;Lee, Hae-Jong;Yoon, Byoung-Jun;Han, Whiejong;Choi, Young-Jin
    • Korea Journal of Hospital Management
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    • v.17 no.4
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    • pp.87-115
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    • 2012
  • This research classified hospital specialization strategy types through cluster analysis, analyzed fitness of hospital specialization strategy types for external environment or organizational structure, and examined relation between hospital specialization strategy types and organizational performance. This research surveyed 1,437 hospitals which have more than 30 patient's bed and practice national health service in Korea. Specifically, this research divided into two part : external fit - analysis of relation between external environment and specialization strategy, internal fit-analysis of relation between organizational structure factors and specialization strategy. also, as the organizational performance for achieving specialization strategic purpose, not only the productivity, efficiency, profit but also the medical quality was considered. In case of external fit, many hospitals chose integration type if there are a lot of competitive hospitals and regional population. Particularly, if there are many competitive hospitals, concentration type is chosen. In contrast, if there are many doctors in the region, differentiation type is chosen. In case of internal fit, according to organization type and patient's bed number, hospitals chose different types. If it is a general hospital and has a few bed number, generalization or concentration type is chosen. Tertiary hospital or the hospital with many patient's bed chose differentiation type. According to the number of specialists, if there are a few specialists, generalization or concentration type is chosen. If there are many specialists, differentiation type has high fitness for the hospital. In relation to strategy types and organizational performance, differentiation type has best result. Differentiation type has a good result in 7 items out of 11.

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