• Title/Summary/Keyword: Healthcare Program

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Effects of Tai Chi on Cardiovascular Disease Risk Factors among the Korean Elderly

  • Cho, Byung-Jun;Kim, Seon-Rye
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.10
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    • pp.195-202
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    • 2022
  • This study explored the effects of Tai Chi on cardiovascular disease(CVD) risk factors among the Korean elderly. 68 elderly were selected and divided into two groups: an experiment group(34 patients) and a control group(34 patients). The experimental group practiced Tai Chi for 60 minutes a day, five times per week for 6 weeks total. The control group continued their routine levels of activity. CVD risk factors evaluated in both groups including body mass index, fasting blood sugar, triglyceride, high density lipoprotein cholesterol(HDL-C), and low density lipoprotein cholesterol(LDL-C). Each factor was measured before and after the 6-week intervention. Results showed that the experimental group had a significant decrease in measurements of body mass index, fasting blood sugar, triglyceride, and LDL-C levels. The experimental group also had an increase HDL-C level. Based on such findings, we believe that Tai Chi exercise program would function as an effective intervention strategy for preventing CVD in the elderly. Therefore, it is recommended that health and medical service personnel should seek to apply Tai Chi intervention as a daily component of elderly care.

Hip Muscle Strength and Ratio Differences in Delivery Workers With and Without Iliotibial Band Syndrome

  • Eun-su Lee;Ui-jae Hwang;Hwa-ik Yoo;Il-kyu Ahn;Oh-yun Kwon
    • Physical Therapy Korea
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    • v.30 no.1
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    • pp.15-22
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    • 2023
  • Background: Delivery workers repeatedly get in and out of trucks and walk or run to deliver packages during work. Iliotibial band syndrome (ITBS) is a well-known non-traumatic overuse injury of the lateral side of the knee caused by frequent knee flexion and extension. Hip muscle strength is among the factors that prevent lower extremity injuries. Although many studies have examined the relationship between ITBS and hip muscle strengths, there was no study comparing hip muscle strength and ratio between delivery workers with and without ITBS. Objects: This study aimed to compare hip muscle strength and hip internal/external rotator and adductor/abductor strength ratios between delivery workers with and without ITBS. Methods: Fourteen delivery workers with ITBS matched inclusion criteria in the present study among 20 participants. Because total sample size was required 28 subjects by G*power program (ver. 3.1.9.4; University of Trier), 14 delivery workers without ITBS were recruited. Hip muscle strengths were measured in a side-lying position using a Smart KEMA pulling sensor (KOREATECH Co. Ltd.). An independent t-test was used to compare hip muscle strengths and hip internal/external rotator and hip adductor/abductor strength ratios between delivery workers with and without ITBS. Results: The adductor/abductor strength ratio was significantly greater in delivery workers without ITBS than in those with ITBS (p < 0.05). The strengths of the hip abductor, hip adductor, hip internal rotator, hip external rotator, and the ratio of internal/external rotator strengths were not significantly different between the delivery workers with and without ITBS (p > 0.05). Conclusion: This study's findings showed that delivery workers with ITBS had significantly lesser adductor/abductor strength ratio, while the strengths of the hip abductor and adductor muscles did not differ significantly. These results suggest that adductor/abductor strength ratio should be considered when evaluating and treating ITBS in delivery workers.

Effects of Passive Scapular Stabilization on Upper Extremity Muscle Strength in Patients With Rotator Cuff Repair

  • Won-jeong Jeong;Duk-hyun An;Jae-seop Oh
    • Physical Therapy Korea
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    • v.30 no.1
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    • pp.41-49
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    • 2023
  • Background: Scapular dyskinesis may cause not only rotator cuff (RC) tear but also weakness of the upper extremity, studies on scapular dyskinesis that may occur after RC repair is still lacking. Objects: To determine whether scapular dsykinesis was present in patients after arthroscopic RC repair and to investigate the influence of passive scapular stabilization on upper extremity strength. Methods: A total of 30 patients after RC repair participated in this study. To compare the scapula of the arthroscopic RC repair shoulder and the contralateral shoulder, the winged scapula (WS) was measured using a scapulometer and scapular dyskinesis was also classified by type. Fixed instruments for muscle strength measurements were used to measure upper extremity muscle strength differences depending on passive scapular stabilization position or natural scapular position. A chi-square test, an independent t-test and a 2-way mixed measures analysis of variance (ANOVA) was used as statistical analysis. In analyses, p < 0.05 was deemed to be statistically significant. Results: Postoperative shoulder had a significant association with scapular dyskinesis and the WS compared to the contralateral shoulder (F = 0.052, p < 0.01). Postoperative shoulder, muscle strength in the shoulder abduction (p < 0.01), elbow flexion (p < 0.01) and forearm supination (p < 0.05) were significantly greater in the scapular stabilization position than in the scapular natural position. Conclusion: Patients underwent arthroscopic RC repair had a significant association with scapular dyskinesis and muscle strength was improved by a passive scapular stabilization position, therefore scapular stabilization is important in rehabilitation program.

The Effects of ICT Enhanced Home-visit Nursing in Long-Term Care Insurance on Health-related Quality of Life among Community-Dwelling Older Adults (ICT 활용 방문간호서비스가 재가노인의 건강관련 삶의 질에 미치는 효과)

  • Yoo, Keunjoo;Shin, Jinhee;Cho, Eunhee;Hong, Seokwon
    • Research in Community and Public Health Nursing
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    • v.33 no.1
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    • pp.1-12
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    • 2022
  • Purpose: This secondary data analysis study evaluated the effects of ICT enhanced home-visit nursing in long-term care insurance on health-related quality of life among community-dwelling older adults. Methods: This study included data of 131 older adults who had experienced a pilot service for ICT enhanced home-visit nursing. ICT enhanced home-visit nursing refers to a method of sharing health records and teleconference between a visiting nurse and a doctor during the home-visit nursing services to community-dwelling older adults. Health-related quality of life and influencing factors were analyzed by t-tests, logistic regression analysis using the Stata 17/SE program. Results: After a pilot service for ICT enhanced home-visit nursing, their health-related quality of life increased. The teleconferencing method had a significant effect on the increase in health-related quality of life. Conclusion: The findings indicate a pilot service for ICT enhanced home-visit nursing can be applied to the domestic community-based healthcare service model in terms of health management. In the future, the advanced service model of a pilot service for ICT enhanced home-visit nursing in which subjects conduct detailed for each health problem, and a well-designed evaluation system should be developed.

Nurses' Perceived Needs and Barriers Regarding Pediatric Palliative Care: A Mixed-Methods Study

  • Kang, Kyung-Ah;Yu, SuJeong;Kim, Cho Hee;Lee, Myung-Nam;Kim, Sujeong;Kwon, So-Hi;Kim, Sanghee;Kim, Hyun Sook;Park, Myung-Hee;Choi, Sung Eun
    • Journal of Hospice and Palliative Care
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    • v.25 no.2
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    • pp.85-97
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    • 2022
  • Purpose: This study aimed to describe nurses' perceived needs and barriers to pediatric palliative care (PPC). Methods: Mixed methods with an embedded design were applied. An online survey was conducted for nurses who participated in the End-of-Life Nursing Education Consortium- Pediatric Palliative Care (ELNEC-PPC) train-the-trainer program, of whom 63 responded. Quantitative data were collected with a survey questionnaire developed through the Delphi method. The 47 items for needs and 15 items for barriers to PPC were analyzed with descriptive statistics. Qualitative data were collected through open-ended questions and analyzed with topic modeling techniques. Results: The mean scores of most subdomains of the PPC needs were 3.5 or higher out of 4, and those of PPC barriers ranged from 3.22 to 3.56, indicating the items in the questionnaire developed in this study properly reflect each factor. The needs for PPC were divided into 4 categories: "children and adolescents," "families," "PPC management system," and "community-based PPC." Meanwhile, PPC barriers were divided into 3 categories: "healthcare delivery system," "healthcare provider," and "client." The keywords derived from the topic modeling were perception, palliative, children, and education for necessities and lack, perception, medical care, professional care providers, service, and system for barriers to PPC. Conclusion: In this study, by using mixed-methods, items of nurses' perceived needs and barriers to PPC were identified, categorized, and weighted, and their meanings were explored. For the stable establishment of PPC, the priority should be given to improving perceptions of PPC, establishing an appropriate system, and training professional care providers.

A Study on the Necessity and Importance of AI Smart Housing Services for the Housing Disadvantaged Persons (주거약자를 위한 AI 스마트하우징 주거서비스의 필요성과 중요도에 관한 연구)

  • Bae, Yoongho;Kim, Sungwan;Ha, Chun
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.29 no.4
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    • pp.45-56
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    • 2023
  • Purpose: Recently, Korea has been promoting smart cities that combine artificial intelligence(AI), big data, ICT, and the Internet of Things(IoT), and these technologies are being applied to housing services and are developing into smart housing services. This study try to analyze what is the most necessary and important the AI smart housing services for the housing disadvantaged persons through a survey of experts and the housing disadvantaged persons. And by collecting these necessary and important services, we aim to present elements and directions for the AI smart housing services policy for the housing disadvantaged persons. Methods: Firstly, we asked 11 experts, Secondly, the desire and necessity for the above smart housing service was identified through an online survey targeting the housing disadvantaged persons. Thirdly, the survey was analyzed and reliability was measured through descriptive statistical analysis using SPSS program. Fourthly, based on the results of descriptive statistics analysis, the necessity and importance of AI smart housing services from the perspective of the housing disadvantaged were derived. Results: The results of this study are that firstly, both experts and the housing disadvantaged persons viewed safety and health-related services as the most important and necessary among AI smart housing services, secondly, there is a difference in perspectives on the services that should be priority between experts and people with disabilities, and lastly there are differences in perspectives and needs for services that should be priority between the disabled and the elderly.

Diabetes Detection and Forecasting using Machine Learning Approaches: Current State-of-the-art

  • Alwalid Alhashem;Aiman Abdulbaset ;Faisal Almudarra ;Hazzaa Alshareef ;Mshari Alqasoumi ;Atta-ur Rahman ;Maqsood Mahmud
    • International Journal of Computer Science & Network Security
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    • v.23 no.10
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    • pp.199-208
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    • 2023
  • The emergence of COVID-19 virus has shaken almost every aspect of human life including but not limited to social, financial, and economic changes. One of the most significant impacts was obviously healthcare. Now though the pandemic has been over, its aftereffects are still there. Among them, a prominent one is people lifestyle. Work from home, enhanced screen time, limited mobility and walking habits, junk food, lack of sleep etc. are several factors that have still been affecting human health. Consequently, diseases like diabetes, high blood pressure, anxiety etc. have been emerging at a speed never witnessed before and it mainly includes the people at young age. The situation demands an early prediction, detection, and warning system to alert the people at risk. AI and Machine learning has been investigated tremendously for solving the problems in almost every aspect of human life, especially healthcare and results are promising. This study focuses on reviewing the machine learning based approaches conducted in detection and prediction of diabetes especially during and post pandemic era. That will help find a research gap and significance of the study especially for the researchers and scholars in the same field.

Smart Healthcare Access Management System using Iris Recognition (홍채인식을 이용한 스마트 헬스케어 출입관리 시스템)

  • Kwan-Hee Lee;Ji-In Kim;Goo-Rak Kwon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.5
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    • pp.971-980
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    • 2023
  • Safety accidents and industrial accidents are constantly occurring in existing industrial sites. In addition, the probability of accidents occurring due to physical and mental fatigue of workers is increasing. Accordingly, it is required to introduce systematic management and various systems for the safety of workers. In this paper, by developing an access control system using bio-metric information at industrial sites, we develop efficient health management and access control management functions for workers. Workers are identified through face recognition for access control, and health status is determined through iris recognition. It aims to improve accuracy and develop a more efficient management system by diagnosing signs of health abnormalities through the congestion of the iris and eyes of workers. Finally, the contents of the development consist of an on-site access control system, an access control program for administrators, and a main server system that diagnoses signs of abnormal health of users.

Implementation of a Drug Information Retrieval System Through OCR API pErformance Comparison (OCR API 성능 비교를 통한 복약 정보 검색 시스템 구현)

  • Jeong-Min Park;Sung-Kyeong Choi;Jun-Yeong Kim;Se-Hoon Jung;Chun-Bo Sim
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.5
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    • pp.989-998
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    • 2023
  • As diseases are already increasing due to aging population and changes in eating habits, interest in digital healthcare is increasing. According to the 2020 Elderly Status Survey, 84% of South Koreans aged 65 and older suffer from at least one chronic disease, and the number and duration of drugs taken by the elderly are also increasing. Effective management that enhances compliance of chronic disease patients can prevent the onset of complications, thereby averting progression to severe illnesses. Thus, a proper medication-taking habit is crucial. This paper proposes a medication information retrieval system using OCR technology. By leveraging Google Cloud Vision API, the system detects and recognizes the names of medicines. Once recognized, the medication name is searched in a database to provide users with medication information and medication schedule management services. By providing accurate medication information through the search, it is possible to induce changes in medication methods and habits. By eliminating the inconvenience of direct input through OCR technology, we anticipate enhancing user convenience by promptly delivering information.

Improvement of Total Floor Area Planning for the Feasibility Study on the Establishment of a General Hospital - Focused on Pre-feasibility Study of KDI Case Analysis (종합병원 건립 타당성 조사의 연면적 계획 개선방안 - 공공의료기관 재정사업 예비타당성조사 사례를 중심으로)

  • Cho, Junyoung
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.30 no.1
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    • pp.37-44
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    • 2024
  • Purpose: The planning of medical facilities involves formulating a comprehensive medical basic plan, translating it into spatial dimensions through a space program. Feasibility assessment often relies on empirical methods like floor area per bed. However, with the shift towards specialized medical concepts, proportional scaling to bed numbers is challenging. This study proposes scale planning improvements during the feasibility assessment stage for comprehensive hospitals, analyzing cases using area determination factors and standard areas based on medical resources. Methods: The Korean Development Institute's Public Investment Management Center (KDI) identified issues in the scale determination of medical facilities in the Preliminary Feasibility Study Guidelines and investigated alternative approaches for determining the scale of a case that passed the preliminary feasibility study in 2019. The study assessed the feasibility of applying individual factors to determine not only the number of beds but also the scale at the sector and department levels. Additionally, a statistical analysis was conducted to examine the correlation between the total number of beds and various area determination factors. Results: Results suggest a strong correlation between total beds and major equipment needs, but in hospitals with <500 beds, this correlation weakens. Ward section scale is better calculated per ward type, not just total beds. Outpatient department scale depends on specialists, influencing treatment room numbers. Medical personnel play a crucial role in determining the scale of sections like rehabilitation therapy rooms, operating rooms, dialysis rooms, and overall facility scale.