• Title/Summary/Keyword: digital healthcare

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Dental hygienist's knowledge measurement tool for emergency treatment related to systemic disease (치과위생사의 전신질환과 관련된 응급처치 지식 측정도구 개발)

  • Yoon, Yong-Ha;Lee, Jung-Hwa;Noh, Hie-Jin;Han, Sun-Young;Mun, So-Jung
    • Journal of Korean society of Dental Hygiene
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    • v.22 no.2
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    • pp.133-142
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    • 2022
  • Objectives: This study was conducted by clinical dentistry hygienists to develop knowledge measurement tools and evaluate knowledge necessary to cope with emergencies related to systemic diseases occurring in dentistry. Methods: Basic questions were developed on the six most frequently occurring diseases in the dental office: diabetes, syncope, respiratory disease, coronary artery disease, cerebrovascular disease, and epilepsy. Fifty-eight preliminary questions were composed in a survey format through expert validation. The survey was then conducted on 290 dental hygienists to verify the composition validity and reliability. Factor and reliability analyses were performed using the SPSS 23.0 program, and the correct answer rate for each question was calculated. Results: 49 items of a total of 13 factors were adopted as the final items for signs, symptoms, prevention and treatment of five diseases. The question with the highest percentage of correct answers for each question was "Slowly set up the unit chair when raising the patient"(97.9%) during the prevention of unconsciousness and question with the lowest correct answer rate was "soft substances such as cloth should be put in the mouth to prevent trauma while the seizure persists" (16.6%). Conclusions: A total of 49 questions have been developed as tools to measure the knowledge of dental hygienists' first aid related to systemic diseases and it is expected that related curriculum can be operated or evaluated by using them.

Recognition of dental infection-control coordinator according to the type of workplace of dental hygienist (치과위생사의 근무지 유형에 따른 치과 감염관리 전담자 업무에 관한 인식)

  • Park, Bo-Young;Choi, Ma-I;Mun, So-Jung
    • Journal of Korean society of Dental Hygiene
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    • v.22 no.4
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    • pp.273-280
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    • 2022
  • Objectives: This study aimed to investigate the perception of dental infection-control coordinator (DICC) among dental hygienist and determine whether there is a difference in perception depending on the type of work. Methods: Dental hygienists working at the dentistry were conveniently extracted and distributed to 351 patients, and the data of 320 patients were finally analyzed. The chi-square test was conducted to determine the difference in perception of the DICC according to the type of work, and the one-way ANOVA was performed to determine the difference in the perception of DICC tasks. A p-value of <0.05 was statistically significant. Results: General hospitals and university hospitals (100%), dental hospitals (95.8%), and dental clinics (86.6%) showed the highest awareness of the need for DICC. The dental clinics had the lowest level of awareness regarding the duties of the DICC, and dental hospitals and clinics were in different areas with different levels of awareness regarding infection control-related administrative support areas (3.98-4.21 and 3.79-4.12 of 5). Conclusions: Because of a difference in perception regarding the work of DICC according to the type of work, dental organizations should establish the tasks of DICC and develop an education program for a person in charge based on this.

Restoration of the Broken Lumbopelvic-hip Neuromuscular Chain and Coordinated Synergistic Activation in Low Back Pain

  • Park, Haeun;Park, Chanhee;You, Joshua (Sung) Hyun
    • Physical Therapy Korea
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    • v.29 no.3
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    • pp.215-224
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    • 2022
  • Background: The presence of the lumbopelvic-hip neuromuscular chain is essential for dynamic spinal stabilization; its therapeutic effects on dynamic movements of the distal extremity segment and underpinning motor mechanism remain unknown and warrant further study on participants with low back pain (LBP). Objects: We aim to compare the effects of the broken chain exercise (BCE) and connected chain exercise (CCE) on electromyography (EMG) amplitude and onset time in participants with and without LBP. Methods: Randomized controlled clinical trial. A convenience sample of 40 nonathletic participants (mean age: 24.78 ± 1.70) with and without LBP participated in this study. All participants underwent CCE for 30 minutes, 30-minute daily. We measured EMG amplitude and onset times on bilateral erector spinae (ES), gluteus maximus (GM), hamstring (HAM), transverse abdominis (TrA), internal oblique (IO), and external oblique (EO) during the prone hip extension (PHE) test before and after the BCE and CCE. We used multivariate analysis of variance (MANOVA) to analyze the amplitude and onset time difference between exercises (BCE and CCE) and Pearson's correlations to determine any synergistic relationship among the HAM, GM, bilateral TrA/IO, and ES muscles. The statistical analyses were used at p < 0.05. Results: MANOVA showed that CCE was more decreased on EMG amplitude in HAM and bilateral ES, while increased GM and contralateral TrA/IO than BCE (p < 0.05). MANOVA EMG onset time data analyses revealed that the main effect of the conditions was significant for all HAM, GM, and bilateral ES muscles, whereas the main effect for the group was significant only for GM and contralateral ES in healthy and LBP groups. Pearson's correlation coefficient was computed to assess the relationship between BCE and CCE on dependent variables. In most of the muscles, there was a strong, positive correlation between the two variables, and there was a significant relationship (p < 0.001). Conclusion: CCE produced more effective and coordinated core stabilization and motor control mechanism in the lumbopelvic-hip muscles in participants with and without LBP during PHE than BCE.

Sports Injury and Physiotherapy Services in the 2018 PyeongChang Winter Paralympic Games: Considerations and Potential Recommendations for Future Paralympics

  • Park, Haeun;Chang, Joon Young;Hwang, Jongseok;Lee, Young Hee;You, Joshua (Sung) Hyun
    • Physical Therapy Korea
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    • v.29 no.3
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    • pp.241-248
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    • 2022
  • Background: The PyeongChang 2018 Winter Paralympic Games (WPG) being one of the most successful Paralympic Games (PG) in modern athletic world history, hosted the largest number of elite athletes representing 49 National Paralympic Committees (NPCs). Objects: The present investigation highlighted the demographic and clinical characteristics of injured athletes and non-athletes and the physiotherapy services provided during the PyeongChang 2018 WPG. Methods: Prospective descriptive epidemiology study, in which the study group comprised of 201 participants (51 athletes and 150 non-athletes) who were admitted to and utilized the polyclinic physiotherapy service of 2018 PyeongChang WPG in Physiotherapy Department of Paralympic Village from March 1, 2018 to March 20, 2018. Results: Qualitative frequency analysis of injury type demonstrated highest number of chronic injuries (51%, n = 100) in athletes and non-athletes. Anatomical injury site analysis revealed that the spine and shoulder areas were affected with equal frequency for athletes (54.9%, n = 14), whereas for non-athletes, the frequencies of spine and shoulder area injuries were 36.7% (n = 55) and 26% (n = 39), respectively. The Pyeongchang WPG showed a high rate of athletes visiting the physiotherapy service during the pre-competition period (33.3%, n = 50), which may have led to smaller incidence rate of traumatic injury. The physiotherapy treatment service analysis demonstrated that manual therapy (35.4%, n = 230) was most commonly utilized, followed by transcutaneous electrical nerve stimulation/interference current therapy (TENS/ICT), therapeutic massage and therapeutic exercise. Conclusion: We established the importance of prophylactic and preventive physiotherapy services to reduce the risk of sports injuries during WPG.

A Needs Analysis of Educational Content for Overseas Job Applicants in the Digital Bio-health Industry

  • Soobok Lee;Wootaek Lim
    • Physical Therapy Korea
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    • v.30 no.3
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    • pp.230-236
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    • 2023
  • Background: The globalization of the healthcare industry and the increasing demand for skilled professionals in the global healthcare industry have opened up opportunities for specialized biotech healthcare professionals to seek overseas employment and career advancement. Objects: This study aimed to develop educational content essential for the overseas employment of digital bio-health professionals. Methods: A survey was conducted among 196 participants. Google Forms (Google) were utilized to create and administer the survey, employing purposive sampling, a non-probability sampling method. Data analysis was performed using IBM SPSS 25.0 (IBM Co.), including Cronbach's α and independent sample t-tests to assess significant differences. Results: About half of college students are interested in overseas employment and international careers, while the other half had not. The most common reason for wanting to work or go overseas was "foreign experience will be useful for future activities in Korea." Students who had experience taking courses from the Bio-health Convergence Open Sharing University preferred overseas programs more than those who did not have that experience. In terms of the degree of desire for overseas education courses provided by universities, contents related to human health were the highest, followed by bio-health big data. Conclusion: Many students wanted to work and go overseas if there is sufficient support from the university. The findings in this study suggest that universities are necessary to play an important role in supporting students' aspirations to work or go overseas by providing language education, education and training programs, information on overseas jobs, and mentoring programs.

Machine Learning Algorithm for Estimating Ink Usage (머신러닝을 통한 잉크 필요량 예측 알고리즘)

  • Se Wook Kwon;Young Joo Hyun;Hyun Chul Tae
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.1
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    • pp.23-31
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    • 2023
  • Research and interest in sustainable printing are increasing in the packaging printing industry. Currently, predicting the amount of ink required for each work is based on the experience and intuition of field workers. Suppose the amount of ink produced is more than necessary. In this case, the rest of the ink cannot be reused and is discarded, adversely affecting the company's productivity and environment. Nowadays, machine learning models can be used to figure out this problem. This study compares the ink usage prediction machine learning models. A simple linear regression model, Multiple Regression Analysis, cannot reflect the nonlinear relationship between the variables required for packaging printing, so there is a limit to accurately predicting the amount of ink needed. This study has established various prediction models which are based on CART (Classification and Regression Tree), such as Decision Tree, Random Forest, Gradient Boosting Machine, and XGBoost. The accuracy of the models is determined by the K-fold cross-validation. Error metrics such as root mean squared error, mean absolute error, and R-squared are employed to evaluate estimation models' correctness. Among these models, XGBoost model has the highest prediction accuracy and can reduce 2134 (g) of wasted ink for each work. Thus, this study motivates machine learning's potential to help advance productivity and protect the environment.

The Impact of Abdominal Drawing-in Maneuver and Tensor Fasciae Latae-iliotibial Band Self-stretching on Lumbopelvic Kinematics in Individuals With Lumbar Extension Rotation Syndrome

  • One-bin Lim;Oh-yun Kwon;Heon-seock Cynn;Chung-hwi Yi
    • Physical Therapy Korea
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    • v.31 no.1
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    • pp.79-88
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    • 2024
  • Background: The abdominal drawing-in maneuver (ADIM), a method of lumbar stabilization training, is an effective neuromuscular intervention for lumbar instability associated with low back pain (LBP). Objects: The purpose of this study was to compare the effect of a 2-week period of the ADIM and tensor fasciae latae-iliotibial band (TFL-ITB) self-stretching on lumbopelvic rotation angle, lumbopelvic rotation movement onset, TFL-ITB length, and pain intensity during active prone hip lateral rotation. Methods: Twenty-two subjects with lumbar extension rotation syndrome accompanying shortened TFL-ITB (16 males and 6 females) were recruited for this study. The subjects were instructed how to perform ADIM training or ADIM training plus TFL-ITB self-stretching program at home for a 2-week period. A 3-dimensional ultrasonic motion analysis system was used to measure the lumbopelvic rotation angle and lumbopelvic rotation movement onset. An independent t-test was used to determine between-group differences for each outcome measure (lumbopelvic rotation angle, lumbopelvic rotation movement onset, TFL-ITB length, and pain intensity). Results: The results showed that ADIM training plus TFL-ITB self-stretching decreased the lumbopelvic rotation angle, delayed the lumbopelvic rotation movement onset, and elongated the TFL-ITB significantly more than did ADIM training alone. Pain intensity was lower in the ADIM training plus TFL-ITB self-stretching group than the ADIM training alone group; however, the difference was not significant. Conclusion: ADIM training plus TFL-ITB self-stretching performed for a 2-week period at home may be an effective treatment for modifying lumbopelvic motion and reducing LBP.

A Proposal for a Predictive Model for the Number of Patients with Periodontitis Exposed to Particulate Matter and Atmospheric Factors Using Deep Learning

  • Septika Prismasari;Kyuseok Kim;Hye Young Mun;Jung Yun Kang
    • Journal of dental hygiene science
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    • v.24 no.1
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    • pp.22-28
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    • 2024
  • Background: Particulate matter (PM) has been extensively observed due to its negative association with human health. Previous research revealed the possible negative effect of air pollutant exposure on oral health. However, the predictive model between air pollutant exposure and the prevalence of periodontitis has not been observed yet. Therefore, this study aims to propose a predictive model for the number of patients with periodontitis exposed to PM and atmospheric factors in South Korea using deep learning. Methods: This study is a retrospective cohort study utilizing secondary data from the Korean Statistical Information Service and the Health Insurance Review and Assessment database for air pollution and the number of patients with periodontitis, respectively. Data from 2015 to 2022 were collected and consolidated every month, organized by region. Following data matching and management, the deep neural networks (DNN) model was applied, and the mean absolute percentage error (MAPE) value was calculated to ensure the accuracy of the model. Results: As we evaluated the DNN model with MAPE, the multivariate model of air pollution including exposure to PM2.5, PM10, and other atmospheric factors predict approximately 85% of the number of patients with periodontitis. The MAPE value ranged from 12.85 to 17.10 (mean±standard deviation=14.12±1.30), indicating a commendable level of accuracy. Conclusion: In this study, the predictive model for the number of patients with periodontitis is developed based on air pollution, including exposure to PM2.5, PM10, and other atmospheric factors. Additionally, various relevant factors are incorporated into the developed predictive model to elucidate specific causal relationships. It is anticipated that future research will lead to the development of a more accurate model for predicting the number of patients with periodontitis.

Application of TAM and QFD for analyzing the user requirement in u-Healthcare System - Focused on fitness service (u-헬스케어 시스템에서 사용자 요구사항을 분석하기 위한 TAM과 QFD의 적용 - u-휘트니스 서비스 중심)

  • Kim, Min-Cheol
    • Journal of Digital Convergence
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    • v.10 no.3
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    • pp.191-196
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    • 2012
  • The importance of hi-tech communications technology including mobile or ubiquitous system and the related business field is currently expanding. In terms of wellness for enhancing quality of individual life, ICT technology became a requirement, not an option. The first purpose of this study is to identify factors that influence user's perceived usefulness & perceived ease of use related to the acceptance of TAM focused on ubiquitous fitness service through multiple regression analysis, thereby discovering important factors influencing consumer behavior. In conjunction with the result, the second purpose of this study has also its implication on the u-Healthcare system development using QFD. That is, this research is to propose the possibility of combining the external variables of TAM to u-Healthcare system service characteristics with user requirement reflected by using QFD method. Based on these results, the suitable system may be constructed and developed.

RFID-based Authentication Protocol for Implantable Medical Device (체내삽입장치에 RFID 기술을 적용한 인증 프로토콜)

  • Jeong, Yoon-Su
    • Journal of Digital Convergence
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    • v.10 no.2
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    • pp.141-146
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    • 2012
  • U-healthcare, which grafted advanced IT technology onto medical technology, is in the limelight because it can provide medical services at anytime and anywhere. U-healthcare system applied RFID technology for Implantable Medical Device (IMD), but patient's biometric information can be easily exposed to third parties. In this article, RFID-based U-healthcare authentication protocol is proposed to prevent illegal usage for personal biometric information exposed to the third patty. The proposed protocol guarantees patients' biometric information integrity as compounding random numbers between administrators and hospital/clinic managers, and uses continuous number SEQ and time stamp T to synchronize IMD/administrators and administrators/hospital managers. Also, to protect user's privacy from the third party, patients' biometric information can be safely guarded by managing patients' security identifiers by administrators.