• Title/Summary/Keyword: Medical big data

Search Result 415, Processing Time 0.03 seconds

Mental Health in Adolescents with Allergic Diseases-Using Data from the 2020 Korean Youth's Risk Behavior Web-based Study (알레르기 질환 청소년의 정신건강: 2020 청소년 건강 행태 온라인 조사 활용)

  • Park, Cho Hee
    • Journal of Industrial Convergence
    • /
    • v.20 no.1
    • /
    • pp.87-96
    • /
    • 2022
  • This study aims to understand the actual conditions of adolescents with allergic diseases and factors related to mental health. It is intended to provide basic data for disease management. As for the research method, big data of the 16th Youth Health Behavior Survey were analyzed secondary, and x2-test was used using the SPSS 25 program8, odds ratio and 95% confidence interval were calculated to determine the degree of association, and multi-logistic regression analysis was performed. Studies have shown that 37.1% of adolescents with allergic diseases have stress perception, 27.6% of depression experience rate and 12.5% of suicidal thoughts, and the likelihood of stress perception, depression experience, and suicidal thoughts among adolescents with allergic diseases was higher. As a result of this study, it was found that the presence or absence of allergic diseases in adolescents has a significant effect on mental health, and we intend to use it as basic data for prevention and research on diseases that can lead to mental illness and adolescent mental health.

The Effect of Balance training on the BMI and Recovery of the Balance capability in Stroke patient with Obesity (균형 트레이닝이 비만 뇌졸중 환자의 체성분과 균형능력에 미치는 영향)

  • Wan-Young Yoon
    • Journal of Industrial Convergence
    • /
    • v.22 no.2
    • /
    • pp.97-103
    • /
    • 2024
  • The purpose of this study was to examine the impact of balance training on the Inbody and recovery of the balance capability in stroke patient with obesity. The exercise program was to conduct obesity group and normal weight group, 22 subjects were divided equally into experimental(obesity) and controlled group(normal weight), assigned to excercise using the balance training system for 30min a day and 5 days a week. Every pre and post-experimental data of both groups were gathered by Inbody and BSS(Biodex Medical Systems) for 8 weeks. As a result, Comparing the intra-group data measured by Inbody, obesity group showed significant difference in every parameter (p<.05). In the inter-group data, every parameter showed significant difference between both groups (p<.05). Comparing the intra-group data of LOS(Limits Of Stability), obesity group showed significant difference with all parameters, except with 'Backward' and 'Left' (p<.05). In the inter-group data, 'Forward' parameter showed significant difference. Comparing the intra-group data of PS(Postural Stability), obesity group showed significant difference with all parameters (p<.05). The inter-group PS(Postural Stability) results differed significantly only with 'Med/lat'(p=.000). The above results implicate about the following conclusions that the balance training had a big effect on the Inbody and recovery of the balance capability in stroke patient with obesity.

A Trend of Artificial Intelligence in the Healthcare (헬스케어산업에서의 인공지능 활용 동향)

  • Lee, Sae Bom;Song, Jaemin;Park, Arum
    • The Journal of the Korea Contents Association
    • /
    • v.20 no.5
    • /
    • pp.448-456
    • /
    • 2020
  • In the era of the Fourth Industrial Revolution, how well the explosive information and data are handled and used is recognized as a problem directly related to the competitiveness of the industry. In particular, the introduction of artificial intelligence technology in the medical field can be said to have a great social impact on its use, and this research was conducted to understand the trends of artificial intelligence according to the range of use case. In this study, the application of artificial intelligence in the healthcare field is divided into four scopes, (1) hospital solutions, (2) personal health care, (3) insurance, and (4) new drug development. Based on various cases and trends in artificial intelligence technology, this study tried to give directions on how to develop artificial intelligence in Korea. In this study, we wanted to find out the use cases of artificial intelligence in various areas of healthcare industry and describe the latest issues in healthcare to help the overall medical industry. The development of artificial intelligence-based medical systems has made it easier to manage the chronic patients, increased the accuracy of cancer or disease diagnosis, and helped developing new drugs faster and more efficiently. Through this study, the medical industry we wanted to give a direction to the future development of artificial intelligence in Korea.

Analysis of trade newspapers related to dental hygienists as healthcare professionals using language analysis technique: using R program (언어분석기법을 활용한 치과위생사의 의료인화 관련 신문기사 분석: R 프로그램 이용)

  • Kim, Song-Yi;Yoon, Ga-Rim;Kang, Dong-Hyun;Kim, Su-Jin;Lee, Si-Eun;Jang, Soo-Bin;Hong, Seong-Min;Hwang, Ji-Hoon;Kim, Nam-Hee
    • Journal of Korean society of Dental Hygiene
    • /
    • v.17 no.5
    • /
    • pp.921-930
    • /
    • 2017
  • Objectives: The purposes of this study were to analyze the trade newspapers related to 'recognition of the dental hygienist as the healthcare professional' using R program and to identify opinions of groups concerned with dental hygienists. Methods: This study was designed with contents analysis and cross-sectional. The subjects of the study were the articles for the last three years in medical and dental newspapers about the recognition of the dental hygienist as the healthcare professional. The collected articles were categorized and classified for each group's opinions about the issue. The key words were extracted according to the priorities of the opinions of agreement and disagreement. They were visualized after frequency analysis using R, a big data analysis program. Results: A total of 237 newspaper articles were extracted among 270 ones containing opinions. 245 were positive opinions and 25 were negatives. The main key words of the agreement were 'Amendment of Medical Law', 'Medical Practice', and 'Legal Guarantee of the Practice'. Advocates addressed that the issues should be resolved with the amendment of the law, as dental hygienists are not guaranteed to work based on the current law although they are actually doing the medical practices. Main key words of disagreement were 'Legal Guarantee of the Practice', 'Revision of Medical Technician Law', and 'Review of Job Type'. They described that the problem can be resolved by revising medical technicians act, and it needs to consider as job types of all healthcare professional. Conclusions: In the group who showed the positive opinions, it is possible to utilize measures such as promoting the cooperation of dental hygienists and developing public consensus through publicity.

Perspective of a New Precision Medicine and Health Care Research (새로운 맞춤형 정밀의학과 보건의료 연구에 대한 조망)

  • Park, Yoon Hyung
    • Health Policy and Management
    • /
    • v.25 no.4
    • /
    • pp.253-255
    • /
    • 2015
  • The concept of precision medicine-prevention and treatment strategies that take individual variability into account-is hot issue of US in the year 2015. Precision medicine is a new concept that approach patients individually by there characteristics, such as genome, life style, environmental exposure, etc. For developing the precision medicine, National Institute of Health of US has been prepared the Precision Medicine Initiative Cohort Program, at least 1 million people cohort. The US President Obama announced the Precision Medicine Initiative on 30th January 2015. He announced that he will pioneer a new model of patient-powered research that promises to accelerate biomedical discoveries and provide clinicians with new tools, knowledge, and therapies to select which treatments will work best for which patients. Most medical treatments have been designed for the 'average patient.' As a result of this 'one-size-fits-all-approach,' treatments can be very successful for some patients but not for others. This is changing with the emergence of precision medicine, an innovative approach to disease prevention and treatment that takes into account individual differences in people's genes, environments, and lifestyles. Precision medicine gives clinicians tools to better understand the complex mechanisms underlying a patient's health, disease, or condition, and to better predict which treatments will be most effective. The healthcare researcher should prepare the new medicine era such as bio-information technology convergence, big data study.

Nursing Service R&D Strategy based on Policy Direction of Korean Government Supported Research and Development (국가보건의료 R&D 정책 방향에 따른 간호서비스 R&D 전략 연구)

  • Lee, Seonheui;Bae, Byoungjun
    • Journal of Korean Academy of Nursing Administration
    • /
    • v.22 no.1
    • /
    • pp.67-79
    • /
    • 2016
  • Purpose: To develop strategies for research and development (R&D) in nursing service based on the policy direction of government supported R&D in Korea. Methods: This was a descriptive study to develop strategies for promoting R&D in nursing by analyzing investment trends and status quo, policy directions, and implementation of the details of government supported R&D through government reports, websites of relevant agencies and literature reviews. Results: Few nursing experts participated in clinical research on overcoming major diseases and in R&D for well-being and care. Development of nursing topics that meet the direction of government supported R&D were lacking. Insufficient implementation of nursing service R&D in a timely manner equipped with a performance-based system. Few research studies in R&D projects that included research using big data or contributing to developing medical instruments. Finally, an insufficient number of nursing specialists participated on government R&D advisory committees. Conclusion: For nursing service R&D development efforts should be toward quantitative expansion and qualitative improvements by sensitively recognizing policy direction of government supported R&D. The promotional capacity of nursing service R&D must be reinforced through a multidisciplinary approach and collaborative association with other professionals and the inclusion of nurse specialists on government R&D advisory committees.

Effects of Ethical Management on Job Satisfaction and Turnover in the South Korean Service Industry

  • Kim, Jong-Jin;Eom, Tae-Kyung;Kim, Sun-Woong;Youn, Myoung-Kil
    • The Journal of Industrial Distribution & Business
    • /
    • v.6 no.1
    • /
    • pp.17-26
    • /
    • 2015
  • Purpose - Ethical management connects corporate management outcomes and emphasizes organizational cooperation. It also links human resource management, auditing, and financial management to increase employee job satisfaction. A survey of American enterprises showed that employees with high ethical consciousness had greater job satisfaction and lower turnover. Research design, data, and methodology - Hypotheses and models based on previous studies were used to investigate the effects of ethical management on employee job satisfaction and turnover intentions. To examine hypotheses empirically, a questionnaire survey based on previous studies was administered to service business workers in Seoul. Results - The study investigated the effects of ethical management practices in relation to factors such as top management's willingness to put them into practice, their appropriateness and implementation within operations, and their influence on job satisfaction, and also examined the effects of job satisfaction on turnover intentions. Conclusions - Ethical management greatly influences job satisfaction and turnover intentions, providing organizational members with alternatives regarding ethical considerations, and to place a strong emphasis on management willingness and enterprise regulations and policies.

Design of Clinical Big data-based Verifiability Identification Process through Characterization of Medical Device (의료기기의 특성 분석을 통한 임상 빅데이터 기반 검증 가능성 식별 프로세스 설계)

  • Choi, Yoo-Rim;Park, Ye-Seul;Lee, Jung-Won
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2017.11a
    • /
    • pp.753-756
    • /
    • 2017
  • 의료기기는 사람의 생명과 직접적으로 연관되어 있기 때문에 다른 분야의 기기보다 안전성에 대한 검증이 필수적이다. 의료 분야에서는 안전성 검증을 위해 기기의 허가 심사 조건으로서 소수의 피험자를 대상으로 수행되는 임상 시험이 존재한다. 그러나 임상 시험의 경우 의료기기를 직접 사람에게 적용하여 검증을 진행하기 때문에, 인체에 미칠 위해성을 고려하여 전임상 시험을 수행하고 있다. 하지만 전임상 시험은 동물이나 가상의 물체를 대상으로 수행하여 실제 사람에 대한 적용이 아니기 때문에, 임상 시험에 비해 검증에 대한 효력을 갖지 못한다. 따라서 본 연구에서는 피험자의 안전을 보장할 수 있고, 임상 빅데이터에 축적된 실제 환자의 사례를 활용한 신뢰성 있는 검증 방안을 제안하고자 한다. 그러나 현재 식품의약품안전처에서 제공되고 있는 의료기기 품목군은 개발하고자 하는 의료기기의 임상 빅데이터 기반 검증 가능성을 식별하기 어렵다. 그러므로 본 논문에서는 의료기기에 대한 다양한 특성 분석을 통해 임상 빅데이터 기반 검증 가능성을 식별하기 위한 프로세스를 제안한다. 제안하는 프로세스에서는 의료기기의 검증에 요구되는 데이터의 식별을 통해 임상 빅데이터를 이용한 테스트 데이터 수집 및 이를 활용한 신뢰성 높은 검증을 가능케 한다.

A Heuristic for Drone-Utilized Blood Inventory and Delivery Planning (드론 활용 혈액 재고/배송계획 휴리스틱)

  • Jang, Jin-Myeong;Kim, Hwa-Joong;Son, Dong-Hoon
    • Journal of Korean Society of Industrial and Systems Engineering
    • /
    • v.44 no.3
    • /
    • pp.106-116
    • /
    • 2021
  • This paper considers a joint problem for blood inventory planning at hospitals and blood delivery planning from blood centers to hospitals, in order to alleviate the blood service imbalance between big and small hospitals being occurred in practice. The joint problem is to determine delivery timing, delivery quantity, delivery means such as medical drones and legacy blood vehicles, and inventory level to minimize inventory and delivery costs while satisfying hospitals' blood demand over a planning horizon. This problem is formulated as a mixed integer programming model by considering practical constraints such as blood lifespan and drone specification. To solve the problem, this paper employs a Lagrangian relaxation technique and suggests a time efficient Lagrangian heuristic algorithm. The performance of the suggested heuristic is evaluated by conducting computational experiments on randomly-generated problem instances, which are generated by mimicking the real data of Korean Red Cross in Seoul and other reliable sources. The results of computational experiments show that the suggested heuristic obtains near-optimal solutions in a shorter amount of time. In addition, we discuss the effect of changes in the length of blood lifespan, the number of planning periods, the number of hospitals, and drone specifications on the performance of the suggested Lagrangian heuristic.

Comorbidity Analysis on ICU Big Data

  • Hyun, Sookyung;Newton, Cheryl
    • International Journal of Advanced Culture Technology
    • /
    • v.7 no.2
    • /
    • pp.13-18
    • /
    • 2019
  • Comorbidity isthe simultaneous presence of two chronic diseases or conditions in a patient. As part of a larger research study, the aims of this study were to explore comorbid conditions in intensive care unit (ICU) patients and to compare the comorbidity across different demographic groups, and to determine what comorbid health problems coexisted in the patients with hospital-acquired pressure injury (HAPI). The average number of comorbid conditions was 6.4 with range from 0-20 in the ICU patients. African American patients had significantly more comorbid health problems than other race/ethnicity groups. Asian and Hispanic female patients showed higher comorbidity than male patients across age. The patients with HAPIs had significantly more comorbid health problems than the patients without HAPIs -- the average numbers were almost two-fold. We found comorbid health problems that existed with HAPI in ICU patients. 'Other diseases of lung' and 'Disorders of fluid, electrolyte, and acid-base balance' were most frequently coexisting health problems in the ICU patients with HAPI. Exploratory plots are helpful to discover patterns or hypotheses relevant to clinical management in critical care. Inclusion of patients' comorbid health problems to ICU HAPI risk assessment may be helpful. Identification of patients at a high risk for the development of HAPI and the early preventative interventions can help reduce length of stay as well as costly complications.