• Journal of Korea Association of Health Promotion
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• v.3 no.1
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• pp.97-109
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• 2005

Chronic fatigue syndrome(CFS) is a complex, debilitating disorder characterized by at least 6 months of severe persistent of relapsing fatigue and a group of characteristic but nonspecific symptoms. Many researchers have proposed that CFS has a specific cause. However currently no evidence exists that proves either a specific cause of CFS. And there is no diagnostic test for CFS. The diagnosis of chronic fatigue syndrome is based on the patient's history, excluding other illnesses In the absence of consistent biological markers, the diagnosis of CFS arises from operational criteria that do not afford validity. The prognosis is poor and often disability and impairment of daily function and performance are prolonged. A limited understanding of the CFS has complicated the management of this disorder. Therefore, treatment of CFS may be variable and should be tailored to each patient. Therapy should include exercise, diet, good sleep hygiene, antidepressants, and other medications, depending on the patient's presentation. Regular follow-up is key to continue to exclude other medical problems and provide support for patients. Chronic fatigue syndrome is a challenging illness to manage and requires a team approach of caring providers. For the majority of patients this is a chronic illness with the goals of therapy being to improve functional status and to prevent disability. Further understanding of the etiology and pathogenesis of this illness should lead to better specific therapy.

• Journal of Genetic Medicine
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• v.9 no.2
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• pp.67-72
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• 2012

The generation of induced pluripotent stem cells (iPSCs) derived from patients' somatic cells provides a new paradigm for studying human genetic diseases. Human iPSCs which have similar properties of human embryonic stem cells (hESCs) provide a powerful platform to recapitulate the disease-specific cell types by using various differentiation techniques. This promising technology has being realized the possibility to explore pathophysiology of many human genetic diseases at the molecular and cellular levels. Furthermore, disease-specific human iPSCs can also be used for patient-based drug screening and new drug discovery at the stage of the pre-clinical test in vitro. In this review, we summarized the concept and history of cellular reprogramming or iPSC generation and highlight recent progresses for disease modeling using patient-specific iPSCs.

• Journal of the Korean Physical Society
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• v.80
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• pp.516-525
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• 2022

This study is to assess the clinical use of commercial PerFRACTION^TM for patient-specific quality assurance of volumetric-modulated arc therapy. Forty-six pretreatment verification plans for patients treated using a TrueBeam STx linear accelerator for lesions in various treatment sites such as brain, head and neck (H&N), prostate, and lung were included in this study. All pretreatment verification plans were generated using the Eclipse treatment planning system (TPS). Dose distributions obtained from electronic portal imaging device (EPID), ArcCHECK^TM, and two-dimensional (2D)/three-dimensional (3D) PerFRACTION^TM were then compared with the dose distribution calculated from the Eclipse TPS. In addition, the correlation between the plan complexity (the modulation complexity score and the leaf travel modulation complexity score) and the gamma passing rates (GPRs) of each quality assurance (QA) system was evaluated by calculating Spearman's rank correlation coefficient (r_s) with the corresponding p-values. The gamma passing rates of 46 patients analyzed with the 2D/3D PerFRACTION^TM using the 2%/2 mm and 3%/3 mm criteria showed almost similar trends to those analyzed with the Portal dose imaging prediction (PDIP) and ArcCHECK^TM except for those analyzed with ArcCHECK^TM using the 2%/2 mm criterion. Most of weak or moderate correlations between GPRs and plan complexity were observed for all QA systems. The trend of mean rs between GPRs using PDIP and 2D/3D PerFRACTION^TM for both criteria and plan complexity indices as in the GPRs analysis was significantly similar for brain, prostate, and lung cases with lower complexity compared to H&N case. Furthermore, the trend of mean rs for 2D/3D PerFRACTION^TM for H&N case with high complexity was similar to that of ArcCHECK^TM and slightly lower correlation was observed than that of PDIP. This work showed that the performance of 2D/3D PerFRACTION^TM for pretreatment patient-specific QA was almost comparable to that of PDIP, although there was small difference from ArcCHECK^TM for some cases. Thus, we found that the PerFRACTION^TM is a suitable QA system for pretreatment patient-specific QA in a variety of treatment sites.

• Korea Journal of Hospital Management
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• v.20 no.2
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• pp.1-14
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• 2015

Purpose : The aim of this article is to describe the nurses' experiential learning mechanism on patient safety. Methods : To analyze nurses' learning experiences on patient safety cases, a focus-group interview method was used. The Kolb's experiential learning model was used as a reference model. Findings : Without deep reflective reasoning about specific experiences, there is no creative or innovative solutions to experiment actively. Nurses are likely to be reluctant learners when there is no systemic support from formal departments which is in charge of patient safety and quality of care. Conclusion : In order to build patient safety culture in hospital, there should be efforts to make nurses as active learners on patient safety as well as to build learning environments in medical units.

• Archives of Plastic Surgery
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• v.34 no.5
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• pp.656-658
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• 2007

Purpose: Prader-Willi Syndrome(PWS) is a congenital chromosomal disorder characterized by compulsive and early development of obesity. Obesity is identified as the main cause of morbidity in PWS individuals. Also, body change for rapid weight gain, such as gynecomastia, can cause considerable functional and psychological trauma, We corrected successfully gynecomastia in PWS patient, so we reported our experience of surgical method and literature reviews. Methods: A 16-year-old male patient presented with gynecomastia. He was diagnosed as with PWS at pediatric department. We performed reduction mammaplasty using inferior pedicle and Wise pattern. Excision amount was 1350g in right breast and 1415g in left breast. Also, we managed upper and lateral fullness of breast with liposuction. Results: There were no specific complications, such as hematoma, infection, nipple-areola complex necrosis, and so on. Also, aesthetic and functional outcome was acceptable Conclusion: We experienced successful correction of gynecomastia in PWS patient, and found advantages of conventional reduction mammaplasty using inferior pedicle and Wise pattern at this specific situation.

• Journal of Oriental Neuropsychiatry
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• v.30 no.3
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• pp.119-128
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• 2019

Objectives: This study suggests the application of philosophical counseling in the clinical field of Korean medicine and analyze the specific case. Methods: Through the analysis of coexisting factors of Korean medicine and philosophical counseling, we establish the area of philosophical counseling that Korean medicine practitioner can apply in the medical field. We described effects of philosophical counseling on the patient's symptom and the progress after discharge through a counseling approach based on philosophical questions. Results: During philosophical counseling, the Korean medical doctor asks questions about the nature of suffering and encourages patients to gain insight into their problems. In answering the vital philosophical questions, the patient leads to a creative interpretation of future life directions. We described the method of specific approaches through the description of the two cases. Conclusions: The philosophical counseling is compatible with the concept of Korean medicine, therefore, a Korean medicine practitioner can induce the recovery of mind and body through the creative interpretation of the patient by asking the patient the appropriate question which causes reflective thinking.

• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.167-176
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• 2020

Recommendation Systems is the top requirements for many people and researchers for the need required by them with the proper suggestion with their personal indeed, sorting and suggesting doctor to the patient. Most of the rating prediction in recommendation systems are based on patient's feedback with their information regarding their treatment. Patient's preferences will be based on the historical behaviour of similar patients. The similarity between the patients is generally measured by the patient's feedback with the information about the doctor with the treatment methods with their success rate. This paper presents a new method of predicting Top Ranked Doctor's in recommendation systems. The proposed Recommendation system starts by identifying the similar doctor based on the patients' health requirements and cluster them using K-Means Efficient Clustering. Our proposed K-Means Clustering with Content Based Doctor Recommendation for Cancer (KMC-CBD) helps users to find an optimal solution. The core component of KMC-CBD Recommended system suggests patients with top recommended doctors similar to the other patients who already treated with that doctor and supports the choice of the doctor and the hospital for the patient requirements and their health condition. The recommendation System first computes K-Means Clustering is an unsupervised learning among Doctors according to their profile and list the Doctors according to their Medical profile. Then the Content based doctor recommendation System generates a Top rated list of doctors for the given patient profile by exploiting health data shared by the crowd internet community. Patients can find the most similar patients, so that they can analyze how they are treated for the similar diseases, and they can send and receive suggestions to solve their health issues. In order to the improve Recommendation system efficiency, the patient can express their health information by a natural-language sentence. The Recommendation system analyze and identifies the most relevant medical area for that specific case and uses this information for the recommendation task. Provided by users as well as the recommended system to suggest the right doctors for a specific health problem. Our proposed system is implemented in Python with necessary functions and dataset.

• International journal of advanced smart convergence
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• v.11 no.2
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• pp.194-204
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• 2022

This study is a one-group pretest-posttest design to evaluate the effect of problem-based learning (PBL) for patient safety on self-leadership, patient safety competencies, and reflective thinking of nursing students. The research was conducted from March 2 to April 15, 2022, in which 57 nursing students participated. PBL for patient safety was examined in a total of 8 sessions in the order of motivation, problem identification, task performance planning, problem-solving methods, summary and solution, presentation, and evaluation. The following topics of patient safety were selected for each team: nursing records, high-alert medication, medication error and intravenous fluid regulation, blood transfusion care, fall, bedsore, infection control, and pain management. We provided feedback on the learning process and outcomes of nursing students. According to the results, self-leadership showed a statistically significant improvement in self-expectations (t=2.60, p=0.01), goal setting (t=2.84, p<0.01), self-reward (t=3.32, p<0.01), and self-criticism (t=2.32, p=0.02). Patient safety competencies showed a statistically significant improvement in patient safety knowledge (t=13.05, p<0.001) and patient safety skills (t=4.87, p<0.001) but not in reflective thinking. The results prove that PBL for patient safety is an effective teaching-learning strategy to improve self-leadership and patient safety competencies. Future studies must develop and validate specific and long-term teaching-learning methods to improve reflective thinking.

• Journal of Korean Academy of Nursing Administration
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• v.17 no.4
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• pp.413-422
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• 2011

Purpose: This descriptive correlation study was done to identify how perception of patient safety culture of general hospital nurses affects safety during nursing activities. Data from this study should provide information on management of patient safety as well as improvement in patient safety. Method: Participants in this study were 357 clinical nurses working in a general hospital in M city which had two medical evaluations. A survey was conducted to gather the data. Results: The score for perception of patient safety culture of the general hospital nurses was 3.42, out of a possible 5 points, and the score for safety care activities was 3.90. There was a statistically significant positive relationship between the nurses' perception of patient safety culture and their safety care activities, Perception of patient safety culture, Supervisor/manager, communication and procedures, and frequency of accident reporting were factors that impacted significantly on safety nursing activity. Conclusion: The results of the study indicate that patient safety cultural perception significantly affects the safety of nursing activities and thus systematic educational strategies to increase perception should be provided to increase the level of patient safety culture. Also, other specific methods that increase the level of patient safety culture should be considered.

• Journal of the Korean Society of Physical Medicine
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• v.14 no.3
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• pp.55-62
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• 2019

PURPOSE: Text-mining has been shown to be useful for understanding the clinical characteristics and patients' concerns regarding a specific disease. Low back pain (LBP) is the most common disease in modern society and has a wide variety of causes and symptoms. On the other hand, it is difficult to understand the clinical characteristics and the needs as well as demands of patients with LBP because of the various clinical characteristics. This study examined online texts on LBP to determine of text-mining can help better understand general characteristics of LBP and its specific elements. METHODS: Online data from www.spine-health.com were used for text-mining. Keyword frequency analysis was performed first on the complete text of postings (full-text analysis). Only the sentences containing the highest frequency word, pain, were selected. Next, texts including the sentences were used to re-analyze the keyword frequency (pain-text analysis). RESULTS: Keyword frequency analysis showed that pain is of utmost concern. Full-text analysis was dominated by structural, pathological, and therapeutic words, whereas pain-text analysis was related mainly to the location and quality of the pain. CONCLUSION: The present study indicated that text-mining for a specific element (keyword) of a particular disease could enhance the understanding of the specific aspect of the disease. This suggests that a consideration of the text source is required when interpreting the results. Clinically, the present results suggest that clinicians pay more attention to the pain a patient is experiencing, and provide information based on medical knowledge.