• Title/Summary/Keyword: Healthcare Systems

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Exploring Factors of Corporate Entrepreneurship within Medical Institutions : Focusing on the Perspective of Participants in the In-house Innovation & Start-up Contest (의료기관 내 사내기업가정신 확산 요인에 대한 탐색 : 사내 혁신·창업 공모전 참가자의 관점에서)

  • Jae-hoon, Han;Byeung-tae, Park;Byung-jin, Park
    • Korea Journal of Hospital Management
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    • v.27 no.4
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    • pp.36-55
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    • 2022
  • Purpose: This study explores the diffusion factors of corporate entrepreneurship among members of medical institutions. Methodology/Approach: The study explores the case of Granum Sinapis Center at Seoul St. Mary's Hospital, the first medical institution to establish a support organization for "innovation and start-up" as well as examines the changes in individual perceptions of participants in the institution's in-house contest. Among the 140 participants in the 2nd Contest held in 2022, seven participants were selected for interview in consideration of their job occupation and years of service. In-depth interviews were conducted for each individual. Findings: The participants applied for the contest under the direct and indirect influence of co-workers as well as compensatory factors. An individual's corporate entrepreneurial characteristics can be innate or acquired. The participants of the in-house contest had a positive experience in contrast to the existing organizational culture. The results reveal that emotional support from top and middle managers, along with the role of dedicated departments, can affect innovative behavior. Practical Implications: Contest participants reported personal growth, improved job satisfaction, and a change in perception of the organizational culture; they expressed their willingness to recommend. The results confirm the need to support such systems and shift focus to managerial (emotional) support and dedicated resources for developing individual entrepreneurship.

Clinical Practice Guidelines for Hepatocellular Carcinoma: Current and Future Perspectives (간암 진료가이드라인의 현재와 전망)

  • Bo Hyun Kim;Joong-Won Park
    • Journal of Digestive Cancer Research
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    • v.4 no.1
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    • pp.21-28
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    • 2016
  • Hepatocellular carcinoma (HCC) is rather unique. Most of HCC patients have underlying chronic liver diseases with or without cirrhosis and the prognosis of HCC depends on the liver function, as well as the tumor extent. Non-invasive diagnosis of HCC can be made with certain risk factors and specific imaging findings (e.g. hypervascularity). Patients with HCC can receive surgical resection, radiotherapy, and systemic chemotherapy as other solid malignancies. HCC has more treatment options such as liver transplantation, transarterial chemoembolization (TACE) and radiofrequency ablation (RFA). A variety of practice guidelines for HCC has been published by many academic societies. Different healthcare systems and availability of resources also affect the practice guidelines; therefore, practice guidelines have similarities and dissimilarities. Herein, we review the current status of practice guidelines for HCC and future perspectives for the improvement of guidelines are also discussed.

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An Efficiency Analysis of an Artificial Intelligence Medical Image Analysis Software System : Focusing on the Time Behavior of ISO/IEC 25023 Software Quality Requirements (인공지능 기술 기반의 의료영상 판독 보조 시스템의 효율성 분석 : ISO/IEC 25023 소프트웨어 품질 요구사항의 Time Behavior를 중심으로)

  • Chang-Hwa Han;Young-Hwang Jeon;Jae-Bok Han;Jong-Nam Song
    • Journal of the Korean Society of Radiology
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    • v.17 no.6
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    • pp.939-945
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    • 2023
  • This study analyzes the 'performance efficiency' of AI-based reading assistance systems in the field of radiology by measuring their 'time behavior' properties. Due to the increase in medical images and the limited number of radiologists, the adoption of AI-based solutions is escalating, stimulating a multitude of studies in this area. Contrary to the majority of past research which centered on AI's diagnostic precision, this study underlines the significance of time behavior. Using 50 chest X-ray PA images, the system processed images in an average of 15.24 seconds, demonstrating high consistency and reliability, which is on par with leading global AI platforms, suggesting the potential for significant improvements in radiology workflow efficiency. We expect AI technology to play a large role in the field of radiology and help improve overall healthcare quality and efficiency.

National Petition Analysis Related to Nursing: Text Network Analysis and Topic Modeling (간호관련 국민청원 분석: 텍스트네트워크 분석 및 토픽모델링)

  • Ko, HyunJung;Jeong, Seok Hee;Lee, Eun Jee;Kim, Hee Sun
    • Journal of Korean Academy of Nursing
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    • v.53 no.6
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    • pp.635-651
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    • 2023
  • Purpose: This study aimed to identify the main keyword, network structure, and main topics of the national petition related to "nursing" in South Korea. Methods: Data were gathered from petitions related to the national petition in Korea Blue House related to the topic "nursing" or "nurse" from August 17, 2017, to May 9, 2022. A total of 5,154 petitions were searched, and 995 were selected for the final analysis. Text network analysis and topic modeling were analyzed using the Netminer 4.5.0 program. Results: Regarding network characteristics, a density of 0.03, an average degree of 144.483, and an average distance of 1.943 were found. Compared to results of degree centrality and betweenness centrality, keywords such as "work environment," "nursing university," "license," and "education" appeared typically in the eigenvector centrality analysis. Topic modeling derived four topics: (1) "Improving the working environment and dealing with nursing professionals," (2) "requesting investigation and punishment related to medical accidents," (3) "requiring clear role regulation and legislation of medical and nonmedical professions," and (4) "demanding improvement of healthcare-related systems and services." Conclusion: This is the first study to analyze Korea's national petitions in the field of nursing. This study's results confirmed both the internal needs and external demands for nurses in South Korea. Policies and laws that reflect these results should be developed.

State-of-the-Art in Cyber Situational Awareness: A Comprehensive Review and Analysis

  • Kookjin Kim;Jaepil Youn;Hansung Kim;Dongil Shin;Dongkyoo Shin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.5
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    • pp.1273-1300
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    • 2024
  • In the complex virtual environment of cyberspace, comprised of digital and communication networks, ensuring the security of information is being recognized as an ongoing challenge. The importance of 'Cyber Situation Awareness (CSA)' is being emphasized in response to this. CSA is understood as a vital capability to identify, understand, and respond to various cyber threats and is positioned at the heart of cyber security strategies from a defensive perspective. Critical industries such as finance, healthcare, manufacturing, telecommunications, transportation, and energy can be subjected to not just economic and societal losses from cyber threats but, in severe cases, national losses. Consequently, the importance of CSA is being accentuated and research activities are being vigorously undertaken. A systematic five-step approach to CSA is introduced against this backdrop, and a deep analysis of recent research trends, techniques, challenges, and future directions since 2019 is provided. The approach encompasses current situation and identification awareness, the impact of attacks and vulnerability assessment, the evolution of situations and tracking of actor behaviors, root cause and forensic analysis, and future scenarios and threat predictions. Through this survey, readers will be deepened in their understanding of the fundamental importance and practical applications of CSA, and their insights into research and applications in this field will be enhanced. This survey is expected to serve as a useful guide and reference for researchers and experts particularly interested in CSA research and applications.

The Past, Present, and Future of Interprofessional Education in Medical Education in South Korea (국내 의학교육에서 전문직 간 교육의 과거, 현재와 미래)

  • Yon Chul Park;Sangmi T. Lee;Kyung Hye Park
    • Korean Medical Education Review
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    • v.26 no.2
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    • pp.83-92
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    • 2024
  • Interprofessional education (IPE) fosters knowledge, skills, and attitudes related to interprofessional collaboration (IPC) for safe, quality patient care. In recent years, the importance of IPC has extended beyond the medical field to local community settings. However, IPE has only recently been introduced and has yet to become widespread. This study reviews the origin and development of IPE in Korean medical education by comparing it with established models in other countries that provide useful insights into future directions for IPE in Korea. Dedicated institutions led the IPE effort in other countries; however, IPE initiatives in Korea were mainly driven by individual professors' and medical schools' interest and commitment, without structural support systems. An important finding of this study is that the lack of awareness and organizational support within the medical education community resulted in the absence of a mandatory curriculum for IPE, as it was omitted from the accreditation standards. For more organized adoption and implementation of IPE in Korea, this study suggests the need to widely communicate the importance of IPE to the medical community and the public. It is also imperative to establish leadership capable of guiding IPE, share materials through trusted institutions with IPE experience, and include IPE in the accreditation standards. These steps are essential for actively implementing IPE and meeting societal healthcare needs in Korea.

Animal protein hydrolysate reduces visceral fat and inhibits insulin resistance and hepatic steatosis in aged mice

  • Su-Kyung Shin;Ji-Yoon Lee;Heekyong R. Bae;Hae-Jin Park;Eun-Young Kwon
    • Nutrition Research and Practice
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    • v.18 no.1
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    • pp.46-61
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    • 2024
  • BACKGROUND/OBJECTIVES: An increasing life expectancy in society has burdened healthcare systems substantially because of the rising prevalence of age-related metabolic diseases. This study compared the effects of animal protein hydrolysate (APH) and casein on metabolic diseases using aged mice. MATERIALS/METHODS: Eight-week-old and 50-week-old C57BL/6J mice were used as the non-aged (YC group) and aged controls (NC group), respectively. The aged mice were divided randomly into 3 groups (NC, low-APH [LP], and high-APH [HP] and fed each experimental diet for 12 weeks. In the LP and HP groups, casein in the AIN-93G diet was substituted with 16 kcal% and 24 kcal% APH, respectively. The mice were sacrificed when they were 63-week-old, and plasma and hepatic lipid, white adipose tissue weight, hepatic glucose, lipid, and antioxidant enzyme activities, immunohistochemistry staining, and mRNA expression related to the glucose metabolism on liver and muscle were analyzed. RESULTS: Supplementation of APH in aging mice resulted in a significant decrease in visceral fat (epididymal, perirenal, retroperitoneal, and mesenteric fat) compared to the negative control (NC) group. The intraperitoneal glucose tolerance test and area under the curve analysis revealed insulin resistance in the NC group, which was alleviated by APH supplementation. APH supplementation reduced hepatic gluconeogenesis and increased glucose utilization in the liver and muscle. Furthermore, APH supplementation improved hepatic steatosis by reducing the hepatic fatty acid and phosphatidate phosphatase activity while increasing the hepatic carnitine palmitoyltransferase activity. Furthermore, in the APH supplementation groups, the red blood cell (RBC) thiobarbituric acid reactive substances and hepatic H2O2 levels decreased, and the RBC glutathione, hepatic catalase, and glutathione peroxidase activities increased. CONCLUSIONS: APH supplementation reduced visceral fat accumulation and alleviated obesity-related metabolic diseases, including insulin resistance and hepatic steatosis, in aged mice. Therefore, high-quality animal protein APH that reduces the molecular weight and enhances the protein digestibility-corrected amino acid score has potential as a dietary supplement for healthy aging.

The Necessity of Education in Response to Technological Advancements and Future Environmental Changes: A Comparison of Korean Medicine Doctors and Students

  • Yu Seong Park;Kyeong Heon Lee;Hye In Jeong;Kyeong Han Kim
    • The Journal of Korean Medicine
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    • v.44 no.4
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    • pp.72-86
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    • 2023
  • Objectives: The medical field is rapidly evolving with AI and digital technologies like AI-based X-ray analysis and digital therapeutics gaining approval. Telemedicine is becoming prominent, and medical schools are adapting by integrating AI education. Pusan National University leads a talent training project for AI in health. Korean Medicine is incorporating AI with diagnostic systems and chatbots. However, there's a lack of research on education awareness in Korean Medicine Colleges. The study aims to assess opinions on integrating AI, digital therapeutics, and DNA test into the Korean medicine college curriculum for improved education. Methods: We selected appropriate four specific areas: artificial intelligence in medicine, digital therapeutics, DNA test, and telemedicine. The questionnaire developed for this study underwent expert evaluation and was subsequently administered to registered KMDs of the Association of Korean Medicine, as well as students from 12 Korean Medicine universities. The survey was designed to analyze the awareness and perceived importance of the 4 areas. Results: Both KMDs and Korean medicine students exhibited comparable awareness levels across the four objectives. Notably, both groups identified a high educational necessity and importance of artificial intelligence in medicine for clinical settings. Statistically significant differences were observed between KMDs and students in their perspectives on the importance of telemedicine and DNA test in the Korean medicine field, the educational necessity of DNA test within Korean medicine universities, and the need for comprehension of regulations related to digital therapeutics. Conclusion: The survey of Korean medicine professionals and students underscores a strong understanding of key areas such as Telemedicine, medical AI, DNA test, and digital therapeutics. Medical AI is identified as crucial for future education. There's a consensus on the need for curriculum changes in Korean medicine schools, particularly in adapting to evolving healthcare trends. The focus should be on practical clinical application, with a call for additional research to better integrate student and practitioner perspectives in future curriculum reform discussions.

Distributed Social Medical IoT for Monitoring Healthcare and Future Pandemics in Smart Cities

  • Mansoor Alghamdi;Sami Mnasri;Malek Alrashidi;Wajih Abdallah;Thierry Val
    • International Journal of Computer Science & Network Security
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    • v.24 no.5
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    • pp.135-155
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    • 2024
  • Urban public health monitoring in smart cities focuses on the control of conditions and health challenges in urban environments. Considering the rapid spread of diseases and pandemics, it is important for health authorities to trace people carrying the virus. In smart cities, this tracing must be interoperable and intelligent, especially in indoor surfaces characterized by small distances between people. Therefore, to fight pandemics, it is necessary to start with the already-existing digital equipment of the Internet of Things, such as connected objects and smartphones. In this study, the developed system is employed to provide a social IoT network and suggest a strategy which allows reliable traceability without threatening the privacy of users. This IoT-based system allows respecting the social distance between persons sharing public services in smart cities without applying smartphone applications or severe confinement. It also permits a return to normal life in case of viral pandemic and ensures the much-desired balance between economy and health. The present study analyses previous proposed social distance systems then, unlike these studies, suggests an intelligent and distributed IoT based strategy for positioning students. Two scenarios of static and dynamic optimization-based placement of Bluetooth Low Energy devices are proposed and an experimental study shows the contribution and complementarity of the introduced contact tracing strategy with the applications on smartphones.

Knowledge-Based Smart System for the Identification of Coronavirus (COVID-19): Battling the Pandemic with Scientific Perspectives

  • Muhammad Saleem;Muhammad Hamid
    • International Journal of Computer Science & Network Security
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    • v.24 no.9
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    • pp.127-134
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    • 2024
  • The acute respiratory infection known as a coronavirus (COVID-19) may present with a wide range of clinical manifestations, ranging from no symptoms at all to severe pneumonia and even death. Expert medical systems, particularly those used in the diagnostic and monitoring phases of treatment, have the potential to provide beneficial results in the fight against COVID-19. The significance of healthcare mobile technologies, as well as the advantages they provide, are quickly growing, particularly when such applications are linked to the internet of things. This research work presents a knowledge-based smart system for the primary diagnosis of COVID-19. The system uses symptoms that manifest in the patient to make an educated guess about the severity of the COVID-19 infection. The proposed inference system can assist individuals in self-diagnosing their conditions and can also assist medical professionals in identifying the ailment. The system is designed to be user-friendly and easy to use, with the goal of increasing the speed and accuracy of COVID-19 diagnosis. With the current global pandemic, early identification of COVID-19 is essential to regulate and break the cycle of transmission of the disease. The results of this research demonstrate the feasibility and effectiveness of using a knowledge-based smart system for COVID-19 diagnosis, and the system has the potential to improve the overall response to the COVID-19 pandemic. In conclusion, these sorts of knowledge-based smart technologies have the potential to be useful in preventing the deaths caused by the COVID-19 pandemic.