• Title/Summary/Keyword: Healthcare System

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GIS Information Generation for Electric Mobility Aids Based on Object Recognition Model (객체 인식 모델 기반 전동 이동 보조기용 GIS 정보 생성)

  • Je-Seung Woo;Sun-Gi Hong;Dong-Seok Park;Jun-Mo Park
    • Journal of the Institute of Convergence Signal Processing
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    • v.23 no.4
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    • pp.200-208
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    • 2022
  • In this study, an automatic information collection system and geographic information construction algorithm for the transportation disadvantaged using electric mobility aids are implemented using an object recognition model. Recognizes objects that the disabled person encounters while moving, and acquires coordinate information. It provides an improved route selection map compared to the existing geographic information for the disabled. Data collection consists of a total of four layers including the HW layer. It collects image information and location information, transmits them to the server, recognizes, and extracts data necessary for geographic information generation through the process of classification. A driving experiment is conducted in an actual barrier-free zone, and during this process, it is confirmed how efficiently the algorithm for collecting actual data and generating geographic information is generated.The geographic information processing performance was confirmed to be 70.92 EA/s in the first round, 70.69 EA/s in the second round, and 70.98 EA/s in the third round, with an average of 70.86 EA/s in three experiments, and it took about 4 seconds to be reflected in the actual geographic information. From the experimental results, it was confirmed that the walking weak using electric mobility aids can drive safely using new geographic information provided faster than now.

Knowledge and Diffusion of Knowledge for Nursing Care of Patients with Diabetes Mellitus among Clinical Nurses (우리나라 임상간호사의 당뇨병 지식 및 지식 확산도 조사연구)

  • Hong, Myeong Hee;Yoo, Joo Wha;Kim, Soon Ai;Lee, Jeong Rim;Roh, Na Ri;Park, Jeong Eun;Gu, Mee Ock
    • Journal of Korean Clinical Nursing Research
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    • v.15 no.3
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    • pp.61-74
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    • 2009
  • Purpose: In order to increase the quality of nursing care for patients with diabetes mellitus, it is important for clinical nurses to accept changes in diabetes knowledge and correct their approach immediately. This approach will also contribute to effective nursing practice. Methods: The study was designed to investigate the level of knowledge and diffusion of knowledge for nursing care of patients with diabetes mellitus among clinical nurses. It was conducted with nurses from 29 general hospitals in Korea from November 3 to December 5, 2008. The questionnaire consisted of 129 items and it was sent to the participants by mail. Of the 1,060 questionnaires returned, only 930 were valid for use in the statistical analysis. Results: 1) The average score for clinical nurses' knowledge of diabetes mellitus was 0.67 out of 1.0. 2) The level of persuasion of knowledge for nursing care of patients with diabetes mellitus averaged 0.64 out of 1.0 3) The level of practical application of knowledge for nursing care of patients with diabetes mellitus averaged 1.05 out of 2.0, indicating that they applied their knowledge 'sometimes'. 4) The level of diffusion of knowledge for nursing care of patients with diabetes mellitus was 2.37 out of 4.0 and level was estimated as the stage of 'persuasion'. 5) There were significant differences in nursing knowledge of diabetes mellitus, according to experience in practical education for diabetes mellitus. Conclusion: The results indicate that nurses with a lower level of knowledge of diabetes mellitus have a lower level of persuasion of knowledge for nursing care of patients with diabetes mellitus and lower practical application. To improve the level of nurses' knowledge of diabetes mellitus, practical training programs are needed for areas in which knowledge level is low, such as 'diagnosis and management of diabetes mellitus', 'oral diabetes medication', and 'glucose control in special conditions'.

Application of Cognitive Enhancement Protocol Based on Information & Communication Technology Program to Improve Cognitive Level of Older Adults Residents in Small-Sized City Community: A Pilot Study (중소도시 지역사회 거주 노인의 치매예방을 위한 Information & Communication Technology 프로그램 기반 인지향상 프로토콜 적용: 파일럿(Pilot) 연구)

  • Yun, Sohyeon;Lee, Hamin;Kim, Mi Kyeong;Park, Hae Yean
    • Therapeutic Science for Rehabilitation
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    • v.12 no.2
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    • pp.69-83
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    • 2023
  • Objective : This study, as a preliminary study, applied an Information & Communication Technology (ICT) home-based program to elderly people aged 65 years or older to confirm the effect of the cognitive enhancement program and to find the possibility of remote rehabilitation. Methods : This study from August to October 2022, three subjects were selected and the intervention was conducted for about 2 months. This intervention was conducted using Korean version of Mini-Mental State Examination, Korean version of Montreal Cognitive Assessment (MoCA-K), Computer Cognitive Senior Assessment System, and the Center for Epidemiologic Studies Depression scale to evaluate cognitive improvement before and after the program. The therapist remotely set the level of cognitive training according to the subject's level through weekly feedback. Results : After the intervention, all subjects showed improved scores in most items of the MoCA-K conducted before and after the intervention. In addition, among the items of Cotras-pro, upper cognition, language ability, attention, visual perception, and memory were improved. Conclusion : Cognitive rehabilitation training using an ICT home-based program not only prevented dementia but also made it habitual. Through this study, it was confirmed that remote rehabilitation for the elderly could be possible.

A Study on the Korean Patent Registration Trend of Outdoor Exercise Equipment for the Elderly (노인 관련 야외운동기구의 국내 특허 등록 동향에 관한 연구)

  • Dong-Cheol Chi;Hong-Young Jang
    • Journal of Industrial Convergence
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    • v.21 no.6
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    • pp.43-51
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    • 2023
  • This study analyzed the patent status of the outdoor exercise equipment used primarily by the elderly. The purpose is to utilize the basic data obtained to promote the health of the elderly. The information on the patent was collected from KIPRIS, an information search service provided by the Korean Intellectual Property Office. The search term used was 'outdoor exercise equipment', directly related patents were selected, and a final 157 were analyzed. As a result of the analysis, first, patent registration began in 2007, and 2-3 patents were registered on average every year. Second, patents from the perspective of sports convergence that provide an exercise prescription system using wireless communication, such as the ability to generate electricity by operating a power generation module, providing information on the user's exercise amount, or preventing the loss and theft of weights and safety accidents due to their characteristics, were searched for. Lastly, patents related to exercise equipment that can provide user convenience and increase the frequency of use of exercise equipment were searched. The results of this study confirmed that outdoor exercise equipment is being developed more for the elderly and their convenience, and that companies and public institutions are showing increased interest in outdoor exercise equipment for the elderly. In addition to patent trends analysis, follow-up research in connection with exercise programs using outdoor exercise equipment is needed to develop practical and convenient outdoor exercise equipment in the future.

A Literature Review on Unmet Needs of High-Prevalence Cancer Survivors: Focus on Breast Cancer, Thyroid Cancer, Colorectal Cancer, and Lung Cancer (호발암 생존자의 미충족 수요에 대한 문헌 고찰: 유방암, 갑상선암, 대장암, 폐암을 중심으로)

  • Da-Seul Kim;Sun-Mi Kim;Jeong Seok Seo
    • Korean Journal of Psychosomatic Medicine
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    • v.31 no.2
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    • pp.50-62
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    • 2023
  • Objectives : This study aimed to identify unmet needs and influencing factors for patients who have breast cancer, colorectal cancer, lung cancer, and thyroid cancer. Methods : We reviewed the SCIE publications on unmet need of four prevalent cancer patients published after 2010 through a web search. Results : The measurement tools primarily used were Cancer Survivors' Unmet Needs and Supportive Care Needs Survey questionnaire. Lung cancer patients reported a relatively higher rate of unmet needs. Breast cancer patients frequently reported unmet needs in the healthcare system and information, while thyroid cancer patients in post-treatment management and psychological issues. Colorectal cancer patients reported unmet needs in psychological and comprehensive care domain, and lung cancer patients reported unmet needs in physical and daily life management. Younger age, a shorter time since diagnosis or treatment, and higher levels of anxiety, depression, distress, and reduced quality of life were associated with more significant unmet needs. Conclusions : Unmet needs and influencing factors vary by cancer type. Considering the characteristics of each patient group and unmet needs can help in development of more effective treatment and support programs.

A Study on the Development of Ultrasonography Guide using Motion Tracking System (이미지 가이드 시스템 기반 초음파 검사 교육 기법 개발: 예비 연구)

  • Jung Young-Jin;Kim Eun-Hye;Choi Hye-Rin;Lee Chae-Jeong;Kim Seo-Hyeon;Choi Yu-Jin;Hong Dong-Hee
    • Journal of the Korean Society of Radiology
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    • v.17 no.7
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    • pp.1067-1073
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    • 2023
  • Breast cancer is one of the top three most common cancers in modern women, and the incidence rate is increasing rapidly. Breast cancer has a high family history and a mortality rate of about 15%, making it a high-risk group. Therefore, breast cancer needs constant management after an early examination. Among the various equipment that can diagnose cancer, ultrasound has the advantage of low risk and being able to diagnose in real time. In addition, breast ultrasound will be more useful because Asian women's breasts are denser and less sensitive. However, the results of ultrasound examinations vary greatly depending on the technology of the examiner. To compensate for this, we intend to incorporate motion tracking technology. Motion tracking is a technology that specifies and analyzes a location according to the movement of an object in a three-dimensional space. Therefore, real-time control is possible, and complex and fast movements can be recorded in real time. We would like to present the production of an ultrasound examination guide using these advantages.

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
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    • v.22 no.2
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    • pp.97-103
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    • 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 Study on an Automatic Classification Model for Facet-Based Multidimensional Analysis of Civil Complaints (패싯 기반 민원 다차원 분석을 위한 자동 분류 모델)

  • Na Rang Kim
    • Journal of Korea Society of Industrial Information Systems
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    • v.29 no.1
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    • pp.135-144
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    • 2024
  • In this study, we propose an automatic classification model for quantitative multidimensional analysis based on facet theory to understand public opinions and demands on major issues through big data analysis. Civil complaints, as a form of public feedback, are generated by various individuals on multiple topics repeatedly and continuously in real-time, which can be challenging for officials to read and analyze efficiently. Specifically, our research introduces a new classification framework that utilizes facet theory and political analysis models to analyze the characteristics of citizen complaints and apply them to the policy-making process. Furthermore, to reduce administrative tasks related to complaint analysis and processing and to facilitate citizen policy participation, we employ deep learning to automatically extract and classify attributes based on the facet analysis framework. The results of this study are expected to provide important insights into understanding and analyzing the characteristics of big data related to citizen complaints, which can pave the way for future research in various fields beyond the public sector, such as education, industry, and healthcare, for quantifying unstructured data and utilizing multidimensional analysis. In practical terms, improving the processing system for large-scale electronic complaints and automation through deep learning can enhance the efficiency and responsiveness of complaint handling, and this approach can also be applied to text data processing in other fields.

Use of Artificial Intelligence for Reducing Unnecessary Recalls at Screening Mammography: A Simulation Study

  • Yeon Soo Kim;Myoung-jin Jang;Su Hyun Lee;Soo-Yeon Kim;Su Min Ha;Bo Ra Kwon;Woo Kyung Moon;Jung Min Chang
    • Korean Journal of Radiology
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    • v.23 no.12
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    • pp.1241-1250
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    • 2022
  • Objective: To conduct a simulation study to determine whether artificial intelligence (AI)-aided mammography reading can reduce unnecessary recalls while maintaining cancer detection ability in women recalled after mammography screening. Materials and Methods: A retrospective reader study was performed by screening mammographies of 793 women (mean age ± standard deviation, 50 ± 9 years) recalled to obtain supplemental mammographic views regarding screening mammography-detected abnormalities between January 2016 and December 2019 at two screening centers. Initial screening mammography examinations were interpreted by three dedicated breast radiologists sequentially, case by case, with and without AI aid, in a single session. The area under the receiver operating characteristic curve (AUC), sensitivity, specificity, and recall rate for breast cancer diagnosis were obtained and compared between the two reading modes. Results: Fifty-four mammograms with cancer (35 invasive cancers and 19 ductal carcinomas in situ) and 739 mammograms with benign or negative findings were included. The reader-averaged AUC improved after AI aid, from 0.79 (95% confidence interval [CI], 0.74-0.85) to 0.89 (95% CI, 0.85-0.94) (p < 0.001). The reader-averaged specificities before and after AI aid were 41.9% (95% CI, 39.3%-44.5%) and 53.9% (95% CI, 50.9%-56.9%), respectively (p < 0.001). The reader-averaged sensitivity was not statistically different between AI-unaided and AI-aided readings: 89.5% (95% CI, 83.1%-95.9%) vs. 92.6% (95% CI, 86.2%-99.0%) (p = 0.053), although the sensitivities of the least experienced radiologists before and after AI aid were 79.6% (43 of 54 [95% CI, 66.5%-89.4%]) and 90.7% (49 of 54 [95% CI, 79.7%-96.9%]), respectively (p = 0.031). With AI aid, the reader-averaged recall rate decreased by from 60.4% (95% CI, 57.8%-62.9%) to 49.5% (95% CI, 46.5%-52.4%) (p < 0.001). Conclusion: AI-aided reading reduced the number of recalls and improved the diagnostic performance in our simulation using women initially recalled for supplemental mammographic views after mammography screening.

Diagnostic Performance of Rectal CT for Staging Rectal Cancer: Comparison with Rectal MRI and Histopathology (직장암 병기결정에서 직장 CT의 진단능: 직장 MRI 및 병리결과와의 비교분석)

  • Seok Yoon Son;Yun Seok Seo;Jeong Hee Yoon;Bo Yun Hur;Jae Seok Bae;Se Hyung Kim
    • Journal of the Korean Society of Radiology
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    • v.84 no.6
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    • pp.1290-1308
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    • 2023
  • Purpose To compare the diagnostic performance of rectal CT with that of high-resolution rectal MRI and histopathology in assessing rectal cancer. Materials and Methods Sixty-seven patients with rectal cancer who underwent rectal CT with rectal distension using sonographic gel and high-resolution MRI were enrolled in this study. The distance from the anal verge/anorectal junction, distance to the mesorectal fascia (MRF), extramural depth (EMD), extramesorectal lymph node (LN) involvement, extramural venous invasion (EMVI), and T/N stages in rectal CT/MRI were analyzed by two gastrointestinal radiologists. The CT findings of 20 patients who underwent radical surgery without concurrent chemoradiotherapy were compared using histopathology. Interclass correlations and kappa statistics were used. Results The distance from the anal verge/anorectal junction showed an excellent intraclass correlation between CT and MRI for both reviewers. For EMD, the distance to the MRF, presence of LNs, extramesorectal LN metastasis, EMVI, T stage, and intermodality kappa or weighted kappa values between CT and MRI showed excellent agreement. Among the 20 patients who underwent radical surgery, T staging, circumferential resection margin involvement, EMVI, and LN metastasis on rectal CT showed acceptable concordance rates with histopathology. Conclusion Dedicated rectal CT may be on par with rectal MRI in providing critical information to patients with rectal cancer.