• Journal of Korean Medicine Rehabilitation
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• v.19 no.2
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• pp.251-260
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• 2009

Objectives : To investigate reliability and validity of Korean translation of Western Ontario and McMaster Universities(WOMAC) osteoarthritis index. Methods : The reliablity, construct validity of the Korean WOMAC Index in the patient of knee osteoarthritis was investigated. Test-retest reliability was quantified with pearson's correlation coefficient and intraclass correlation coefficient. Internal consistency was quantified with Cronbach's ${\alpha}$. and construct validity with pearson's correlation coefficient by correlating of the Visual Analog Scale(VAS). Results : Test-retest reliability of Korean WOMAC Index for pain was 0.76 to 0.95, stiffness was 0.89 to 0.94, and physical function was 0.71 to 0.95. Intraclass correlation coefficient for pain was 0.76 to 0.94, stiffness was 0.54 to 0.89, and physical function was 0.70 to 0.95. Internal consistency were 0.94 and 0.94 for the first and second time, respectively. Construct validity for pain was 0.79, for stiffness was 0.66, and physical function was 0.67. Conclusions : The Korean translation of Western Ontario and McMaster Universities(WOMAC) osteoarthritis index is reliable, valid assessment tool in knee osteoarthritis.

• Journal of Acupuncture Research
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• v.35 no.3
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• pp.145-148
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• 2018

The purpose of this case study was to use Korean medicine to treat posterior cruciate ligament avulsion fracture. The patient suffered left knee pain resulting from an avulsion fracture and was hospitalized for 59 days and treated with acupuncture and traditional Korean medicine. The effect of the treatment was evaluated using the Numerical Rate Scale, the Western Ontario and McMaster universities Osteoarthritis Index, and the European Quality of Life Five Dimensions. Following treatment of the pain in the left knee, scores for Numerical Rate Scale, Western Ontario and McMaster universities Osteoarthritis Index, and European Quality of Life Five Dimensions were improved. This study suggested that Korean Medicine could be an effective treatment for posterior cruciate ligament avulsion fractures. Further studies are needed to substantiate this conclusion.

• Journal of Convergence Korean Medicine
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• v.1 no.1
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• pp.35-44
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• 2021

Objectives: The purpose of this study is to investigate the effect of ultrasound therapy on left knee pain and instability diagnosed with Baker's cyst in a 25-year-old male patient. Methods: Patient was treated with Radio frequency ablation treatment on left knee from Naeseulan (EX-LE4) to Wijoong (BL40). The effect of radio frequency ablation was assessed by Visual Analog Scale (VAS), Western Ontario and McMaster Universities (WOMAC) and Euro Qol-5 Dimension Index (EQ-5D Index). The treatment was executed one time a day everyday form May 28th to June 1st of 2020. Patient was observed from May 26th to June 1st. Results: After five sessions of radio frequency ablation, VAS of left posterior knee pain was improved while no improvement was discovered at left medial knee. In Korean WOMAC scale, only subscale of weight bearing and walking around plain were improved. EQ-5D did not show any improvement. Conclusion: The results suggest that radio frequency ablation treatment can be a valuable option in treating knee pain and daily living function. Further study seems to be needed based on long-term intervention.

• Journal of Korean Physical Therapy Science
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• v.11 no.1
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• pp.36-42
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• 2004

Evidence based physical therapy interventions for this patient was applied in 15 clinical sessions. Considering the patient's two main impairments, two physical therapy interventions were delivered with WOMAC index outcome measurement. From this case report, I observed that a combined physical therapy interventions consisting of manual therapy, therapeutic exercise, and TENS Unit in patients with knee osteoarthritis may result in decreased pain, stiffness and increased physical function.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.9
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• pp.4461-4475
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• 2017

Recently, introduction of the hospital information system has remarkably improved the efficiency of health care services within hospitals. Due to improvement of the hospital information system, the issue of integration of medical information has emerged, and attempts to achieve it have been made. However, as a preceding step for integration of medical information, the problem of searching the same patient should be solved first, and studies on patient identification algorithm are required. As a typical case, similarity can be calculated through MPI (Master Patient Index) module, by comparing various fields such as patient's basic information and treatment information, etc. but it has many problems including the language system not suitable to Korean, estimation of an optimal weight by field, etc. This paper proposes a method searching the same patient using MRI information besides patient's field information as a supplementary method to increase the accuracy of matching algorithm such as MPI, etc. Unlike existing methods only using image information, upon identifying a patient, a highest weight was given to physical information of medical image and set as an unchangeable unique value, and as a result a high accuracy was detected. We aim to use the similarity measurement result as secondary measures in identifying a patient in the future.

• Journal of the Korean Society of Physical Medicine
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• v.19 no.1
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• pp.143-154
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• 2024

PURPOSE: The present study was conducted to improve the understanding of the Korean Standard Functional, Disability, and Health Classification (KCF) and its ease of use in the clinical domain of the musculoskeletal system by comparing, analyzing, and linking the KCF codes with items from patient-reported outcome measures (PROMs), which are currently mainly used to evaluate patients with neck, shoulder, waist, and knee pain. METHODS: The items of the most widely used PROMs, the Neck Disability Index (NDI), Disabilities of the Arm, Shoulder, and Hand (DASH) scores, Oswestry Disability Index (ODI), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and the codes of the KCF were linked by two experts according to the linking rules. RESULTS: The concordance between the items of each of the PROMs and the KCF code linked by the two experts was NDI,86.4%86.4%, DASH 83.3%, ODI 92.0%, and WOMAC 80.7%. The NDI, DASH, and WOMAC indexes were found to comprise items corresponding to physical function, activity, and participation areas, and were linked to 22, 43, and 31 KCF codes, respectively. In addition to these two areas, the ODI included items related to environmental factors and was linked to 25 codes (duplicated codes are treated as one). CONCLUSION: This research can be used by adding the KCF code to the questions of the currently used evaluation tool. This coding can be easily applied and will contribute to the easy understanding of the KCF.

• Journal of Acupuncture Research
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• v.33 no.3
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• pp.161-168
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• 2016

Objectives : This study was done to show the clinical effect of miniscalpel acupuncture treatment on osteoarthritis of the knee which is refractory to acupuncture treatment. Methods : A patient was treated with acupuncture for three weeks, non-treated(wash out period) for two weeks, and treated with miniscalpel acupuncture for three weeks. The effect of treatments were measured with Visual Analogue Scale(VAS), Range of Motion(ROM), Short form McGill pain questionnaire(SF-MPQ), Western Ontario and McMaster Universities Osteoarthritis Index(WOMAC). Results : During the three weeks of acupuncture treatment, VAS, SF-MPQ and WOMAC improved, but after two weeks of the wash out period each score worsened. During the three weeks of miniscalpel acupuncture VAS, SF-MPQ, and WOMAC improved while ROM improved remarkably. Conclusion : These results suggest that miniscalpel acupuncture might be a therapeutic option for knee degenerative osteoarthritis patients who does not responded to acupuncture treatment.

• Journal of Acupuncture Research
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• v.38 no.2
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• pp.134-139
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• 2021

Background: This study aimed to investigate the demographic characteristics of patients with knee pain caused by traffic accidents and test the effectiveness of Korean medicine (KM) treatment. Methods: The medical charts of 114 inpatients with knee pain caused by a traffic accident were reviewed from July 1, 2019 to October 31, 2019 at Bucheon Jaseng Hospital of KM. The patients' demographics including gender, age, period of hospitalization, and type of pharmacopuncture and herbal medicine prescribed were reviewed. The Numeric Rating Scale scores and Western Ontario and McMaster Universities Osteoarthritis Index scores were used to assess subjective knee pain. Results: There were more females (55%) than males in this study. Patients were more likely to be in their 30s (27.2%), be hospitalized for 11-14 days (41.2%), treated with Hwangryunhaedok pharmacopuncture (78.1%), and be prescribed Hwalhyeoljitong decoction (62.3%).The mean Numeric Rating Scale score for patients with knee pain caused by a traffic accident decreased significantly from 4.26 ± 1.39 to 2.53 ± 1.60 (p < 0.001), and the mean Western Ontario and McMaster Universities Osteoarthritis Index score also decreased significantly from 32.72 ± 18.36 to 23.40 ± 15.80 (p < 0.001) following KM treatment. Conclusion: As a result of analyzing 114 hospitalized patients with knee joint pain due to TAs, inpatients were more likely to be female (55%), a patient in their 30s (27.2%), and be a patient hospitalized for 11-14 days (41.2%). KM treatment of traumatic knee injury using pharmacopuncture therapy and herbal medicine can be an may be effective at reducing pain, and healing functional disorders of the knee.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.942-944
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• 2014

최근 병원정보시스템의 도입으로 병원 내 의료서비스 효율성 향상이 두드러지고 있다. 이러한 병원정보시스템의 개선으로 의료정보 통합이라는 문제가 대두되고 있으며, 이를 시도하고자 하는 움직임이 나타나고 있다. 그러나 의료정보 통합을 위한 선행 단계로 동일 환자를 찾는 문제해결이 우선시 되며, 이를 위한 환자 식별 알고리즘의 연구가 필요시 되고 있다. 대표적인 사례로 MPI(Master Patient Index) 모듈을 통해 환자의 기본 정보 및 진료 정보 등의 여러 필드를 비교하여 유사도를 산출할 수 있으나, 국내에 적합하지 않는 언어체계, 필드별 최적 가중치의 산정 등 여러 가지 문제점들을 가지고 있다. 본 논문은 이러한 MPI 등과 같은 매칭 알고리즘의 정확도를 높일 수 있는 보완적인 방법으로, 환자 필드 정보 외에 촬영한 의료 영상(MRI) 정보를 활용하여 동일 환자를 찾는 방법을 제안한다. 기존의 영상 정보만을 활용한 방법과는 달리, 의료영상의 물리적인 정보를 환자 식별 시 가장 높은 가중치를 부여하여 변하지 않는 불변의 특정 값으로 하여 높은 정확도를 검출하였다. 이러한 영상 정보를 활용한 유사도 측정 결과는 향후 환자 식별에 있어 보조적인 수단으로 활용하고자 한다.