• 품질경영학회지
• /
• 제42권1호
• /
• pp.81-89
• /
• 2014

Purpose: The purpose of this study is to propose Clinical Practice Guideline(CPG) model and Clinical Index(CI) for implementing CDSS in digital hospitals. Methods: This study uses EMR data at department of family practice in A hospital; 636 patients, 570 diseases (based on ICD 10-CM criteria), and 37,000 data related with labs and treatments. This study focuses on disease J342 which is the most high rate of incidence. Results: Using the suggested model, this study calculates frequency matrix and probability matrix to find out the correlation of diseases and labs. This study indicates the lab sets of Disease (J342) as CI for CPG. Conclusion: This study suggests CPG model including Lab-based, Disease-Based and Case-based modules. Through 6 level cased-based CPG model, especially, this study develops Clinical Index(CI) such as the Incidence Rate, Lab Rate, Disease Lab Rate, Disease confirmed by Lab.

• 한국임상약학회지
• /
• 제29권1호
• /
• pp.1-8
• /
• 2019

Background: Alzheimer's dementia is the most common dementia. However, recently, choline alfoscerate is prescribed for treating Alzheimer's dementia, although it is not a treatment for this disease. Purpose: To analyze the prescription patterns of choline alfoscerate as a dementia treatment for patients with Alzheimer's disease and to analyze, as well as the factors affecting choline alfoscerate prescription. Method: The 2016 HIRA-NPS data was used in this study. The code of Alzheimer's dementia is F00 in the ICD-10 disease classification code. We analyzed the demographic, clinical, and regional characteristics associated with donepezil, rivastigmine, galantamine, memantine, and choline alfoscerate prescriptions. All statistical and data analyse were conducted by SAS 9.4 and Excel. Results: For patients with Alzheimer's disease, choline alfoscerate was the second most prescribed after donepezil. Analysis results showed that choline alfoscerate was more likely to be prescribed to men than to women, and more likely to be prescribed by local health centers than by medical institutions. Moreover, choline alfoscerate was highly likely to be prescribed at neurosurgical departments, among medical departments. Conclusions: This study confirmed that choline alfoscerate was prescribed considerably for patients with Alzheimer's dementia. Further studies valuating its clinical validity should be performed to clarify whether choline alfoscerate prescription is appropriate for treating Alzheimer's dementia.

• 의료법학
• /
• 제9권2호
• /
• pp.231-267
• /
• 2008

Tobacco has become the world's leading cause of deaths and diseases. And !be tobacco use and dependence itself is a kind of diseases, so-called "mental and be-havioural disorders due to use of tobacco" in "International Statistical Classification of Diseases and Related Health Problems(ICD-10)" and "Korean Standard Classification of Diseases". The tobacco use and dependence is a chronic disease that requires repeated clinical interventions and multiple attempts to quit. But effective treatments to the tobacco use and dependence are developed and exist that can significantly increase the rate of long-tenn smoking abstinence. So the physicians should warn smoking patients about the dangers of smoking to the health and the life, and the clinicians ought to provide one of more of the treatments which have been proven effective in helping smokers quit to smoke. It has been concluded that if a doctor failed to provide effective treatment for smokers, and the smokers subsequently died of the smokers-related conditions(tobaccosis) or became incapacitated by the tobaccosis the smokers were considered in the medical malpractice. Thus the smokers could sue the physician for medical malpractice, claiming that the doctor's legal responsibility of appropriate treatments including smoking-cessation which the physician deliberately or negligently breached.

• Journal of Information Processing Systems
• /
• 제9권1호
• /
• pp.1-30
• /
• 2013

The capitalization of know-how, knowledge management, and the control of the constantly growing information mass has become the new strategic challenge for organizations that aim to capture the entire wealth of knowledge (tacit and explicit). Thus, knowledge mapping is a means of (cognitive) navigation to access the resources of the strategic heritage knowledge of an organization. In this paper, we present a new mapping approach based on the Boolean modeling of critical domain knowledge and on the use of different data sources via the data mining technique in order to improve the process of acquiring knowledge explicitly. To evaluate our approach, we have initiated a process of mapping that is guided by machine learning that is artificially operated in the following two stages: data mining and automatic mapping. Data mining is be initially run from an induction of Boolean case studies (explicit). The mapping rules are then used to automatically improve the Boolean model of the mapping of critical knowledge.

• 대한불안의학회지
• /
• 제11권2호
• /
• pp.143-148
• /
• 2015

Objective : This study examined benzodiazepine prescription patterns of outpatients visiting the psychiatry department in a single general hospital in Korea. Methods : A retrospective descriptive analysis of benzodiazepine prescriptions was performed on a database from 2014 in a general hospital in Korea. We analyzed the following factors of adult outpatients: demographic factors such as sex and age, amount of benzodiazepine prescribed, treatment duration, and diagnosis based on the ICD-10. Results : In 2014, benzodiazepines were prescribed to 46.4% of the outpatients. Percentage of benzodiazepine prescription increased with age and was highest in the age group 40-59 years. Prescription was more prevalent in women and the prescription percentage increased by treatment duration. Patients with the F4 diagnosis (neurotic, stress-related and somatoform disorders) were the most highly prescribed group. For all diagnosis groups, prescription was more prevalent in females or similar for both sexes except for patients with F5 diagnosis (behavioral syndromes associated with physiological disturbances and physical factors), with males being more predominant. Conclusion : Despite the concern regarding the rate of benzodiazepine prescription and administration to geriatric patients, long-term prescription and usage among older patients is still prevalent.

• 동의신경정신과학회지
• /
• 제19권2호
• /
• pp.141-149
• /
• 2008

Objective : This study was designed to analyze the herbal medicine case-control studies of tic disorder in traditional chinese medicine. Method : For this study, we searched the studies on tic disorder, which had been published 2007, through web-site CNKI(中國知識基魔設施工程) http://www.cnki.net). There were 15 herbal medicine case-control studies and we focused on those studies. Results: 1. DSM-IV(7 studies), CCMD(5 studies) and ICD-10(3 studies) were frequently used in the diagnosis of tic disorder. 2. Paeonia radix alba, Uncariae ramulus et uncus and Glycyrrhizae radix were frequently used in treatment. Moreover Scorpio, Gastrodiae rhizoma, Pinelliae rhizoma and so on were used. 3. Treatment results were assessed by improvement of symptom, YGTSS and so on. 4. Herbal medicine treatment was more effective than western medicine treatment in most studies, and side effects of herbal medicine were far less than those of western medicine. Conclusion : There have been reported many herbal medicine treatment studies of tic disorder in traditional chinese medicine. We believe that these studies can be applied to the clinical practices in Korean medicine.

• 대한치과의사협회지
• /
• 제48권6호
• /
• pp.459-468
• /
• 2010

International Classification of Disease (ICD-10) is widely used as a crucial reference not only in the medical diagnosis of diseases but also within the health insurance system. It makes possible for medical personnel to make decisions systematically and for the people working in the health insurance or public health industries to better understand medical issues. However, this classification is often not enough or acceptable in a clinical setting. Many countries amend in their own way to make it more appropriate for their people. Korean Classification of Disease (KCD-5) was made by adding a 5 digit code for some diseases to clarify the conditions of the patients. The authors found problems of KCD-5 in temporomandibular disorders and several related medical problems. Medical treatment for these problems had not been covered even by public health insurance until 2000 in Korea. For the last decade, private insurance companies have introduced new items for reimbursement of the treatment fees the patients actually pay. The authors assumed that many patients with these medical problems encountered difficulties in the reimbursement from private insurance companies because KCD-5 did not classify these medical conditions appropriately. An overview of KCD-5 and suggestions for improvement are introduced in this study.

• Journal of Oral Medicine and Pain
• /
• 제17권1호
• /
• pp.19-29
• /
• 1992

Fear at the dental treatment is a problem not only for patient but for dentist as well, because the anxious patient often require more item, even for simple procedures. The anxiety level in response to dental procedures was evaluated through a simple questionnaire, Corahs, DAS. 783 female and 790 male outpatients were studied at the Dept. of Oral Diagnosis, PNUH from 1988 to 1989. The obtained results were as follows : 1. The anxiety level in female was significantly higher than that in male, and patients in 10s and 30s showed more anxious than those in other groups. 2. Housewives and pupils revealed higher level of anxiety. 3. The anxiety level in 524 (ICD) was the highest in all diseases, inspite of no difference among various diseases. 4. There was significantly higher level of anxiety in the patient of Orthodontics and Pedodontics than those of other departments. 5. There was no difference in anxiety level between acute and chronic group. 6. Dental phobes were more in female than in male.

• 한국철도학회:학술대회논문집
• /
• 한국철도학회 2009년도 춘계학술대회 논문집
• /
• pp.1765-1768
• /
• 2009

Honam area is one of the under-industrial areas in Korea and because of this it has low weight in the total container transportation in Korea. Also the railway distance from honam area to the main container ports like Busan port and Gwangyang port is so short that the portion of rail container transportation occupies about 10 percent in total container transportation amount in Honam area. But on the contrary of those situations, 1st step Jangsung inland container depot (ICD) was finished as one of the main logistics facilities in Korea and 2nd Jangsung inland container depot is under construction. To promote rail container transportation in Honam area which has shortage of container transportation demand, it is necessary to give adequate transport service to the client. So, this research studied some methods for promoting rail container transportation in Honam area. The subject of survey is freight agent and survey items are selected to find the present situation of rail container transportation in Honam area. And from the survey results various strategies will be suggested to promote rail container transportation in Honam area.

• Journal of Communications and Networks
• /
• 제15권2호
• /
• pp.164-172
• /
• 2013

We consider the problem of secure and robust clustering for quantized target tracking in wireless sensor networks (WSN) where the observed system is assumed to evolve according to a probabilistic state space model. We propose a new method for jointly activating the best group of candidate sensors that participate in data aggregation, detecting the malicious sensors and estimating the target position. Firstly, we select the appropriate group in order to balance the energy dissipation and to provide the required data of the target in the WSN. This selection is also based on the transmission power between a sensor node and a cluster head. Secondly, we detect the malicious sensor nodes based on the information relevance of their measurements. Then, we estimate the target position using quantized variational filtering (QVF) algorithm. The selection of the candidate sensors group is based on multi-criteria function, which is computed by using the predicted target position provided by the QVF algorithm, while the malicious sensor nodes detection is based on Kullback-Leibler distance between the current target position distribution and the predicted sensor observation. The performance of the proposed method is validated by simulation results in target tracking for WSN.