• Title/Summary/Keyword: 진료과목

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진료과목별 진료결과 및 현황보고

  • Catholic Health Association of Korea
    • Health and Mission
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    • s.7
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    • pp.16-21
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    • 2006
  • 2006 몽골 해외의료지원사업은 울란바토르의 자갈란트 주민을 대상으로 내과(최환석 교수), 외과(박성환 교수), 산부인과(한치동 교수), 피부과(김형옥 교수), 소아과(김영훈 교수), 안과(김은철 교수) 등 6개 진료과목 진료를 실시해 전체주민 6,500명 중 2,700명을 진료했다. 진료과목별 현황과 진료결과에 대해 들어본다.

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A Study on Consumer's Acceptance of Medical Internet Marketing According to Medical Departments (의료서비스 인터넷 마케팅 활동에 대한 진료과목별 소비자 수용에 관한 연구)

  • Lee, Ki-Kwang;Jung, You-Soo;Han, Chang-Hee
    • The Journal of Society for e-Business Studies
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    • v.14 no.1
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    • pp.121-142
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    • 2009
  • In this study, the marketing activity of medical service providers via Internet was considered as a new technology for approaching this problem and the consumers' acceptance of the new marketing activity was analyzed through the TAM (Technology Acceptance Model) path analysis. The path analysis was conducted for the non-insured medical departments and the insured medical departments. The path analysis revealed that the consumers felt usefulness of the marketing activity of non-insured medical service providers, which means that they have intention to accept and are satisfied with the Internet marketing activity provided by non-insured medical service departments. On the other hand, in the case of insured medical service, it was clarified that the 'easy of use' preferentially affects the users' intention of accepting the marketing activity rather than 'usefulness'.

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Association Prediction Method Using Correlation Analysis between Fine Dust and Medical Subjects (미세먼지와 진료과목의 상관관계 분석을 통한 연관성 예측 방법)

  • Lim, Myung Jin;Kim, Seon Mi;Shin, Ju Hyun
    • Smart Media Journal
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    • v.7 no.3
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    • pp.22-28
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    • 2018
  • Air pollution problems in Korea are gradually becoming a higher concern due to various reasons such as fine dust, causing anxiety among people with regard to their health. Although various studies have been carried out on the relationship between the influence of fine dust and a certain disease, they are mostly focusing on the analyzation that fine dust is related to specific illnesses such as respiratory and cardiovascular diseases, hypertension and diabetes. In this paper, we utilize the public data of medical history information to extract ten medical care subjects with the highest number of monthly care in 2016, and analyze the relation of fine dust with certain medical subjects using Pearson correlation coefficient. We also subdivide and analyze the correlation between fine dust and the medical subjects according to their gender and age. Middle-aged Female group with the strongest positive correlation between fine dust and the medical subjects is analyzed with the correlation from 2011 to 2015, with its relevance coefficient extracted by regression analysis in order to predict the correlation with the medical subjects according to the fine dust concentration.

Health Examination Data Based Medical Treatment Prediction by Using SVM (SVM을 이용한 건강검진정보 기반 진료과목 예측)

  • Piao, Minghao;Byun, Jeong-Yong
    • KIPS Transactions on Software and Data Engineering
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    • v.6 no.6
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    • pp.303-308
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    • 2017
  • Nowadays, living standard is improved and people have high interest to the personal health care problem. Accordingly, people desire to know the personal physical condition and the related medical treatment. Thus, there is the necessary of the personalized medical treatment, and there are many studies about the automatic disease diagnosis and the related services. Those studies focus on the particular disease prediction which is based on the related particular data. However, there is no studies about the medical treatment prediction. In our study, national health data based medical treatment predictor is built by using SVM, and the performance is evaluated by comparing with other prediction methods. The experimental results show that the health data based medical treatment prediction resulted in the average accuracy of 80%, and the SVM performs better than other prediction algorithms.

Classification Modeling for Predicting Medical Subjects using Patients' Subjective Symptom Text (환자의 주관적 증상 텍스트에 대한 진료과목 분류 모델 구축)

  • Lee, Seohee;Kang, Juyoung
    • The Journal of Bigdata
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    • v.6 no.1
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    • pp.51-62
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    • 2021
  • In the field of medical artificial intelligence, there have been a lot of researches on disease prediction and classification algorithms that can help doctors judge, but relatively less interested in artificial intelligence that can help medical consumers acquire and judge information. The fact that more than 150,000 questions have been asked about which hospital to go over the past year in NAVER portal will be a testament to the need to provide medical information suitable for medical consumers. Therefore, in this study, we wanted to establish a classification model that classifies 8 medical subjects for symptom text directly described by patients which was collected from NAVER portal to help consumers choose appropriate medical subjects for their symptoms. In order to ensure the validity of the data involving patients' subject matter, we conducted similarity measurements between objective symptom text (typical symptoms by medical subjects organized by the Seoul Emergency Medical Information Center) and subjective symptoms (NAVER data). Similarity measurements demonstrated that if the two texts were symptoms of the same medical subject, they had relatively higher similarity than symptomatic texts from different medical subjects. Following the above procedure, the classification model was constructed using a ridge regression model for subjective symptom text that obtained validity, resulting in an accuracy of 0.73.

National Health Data based Medical Treatment Prediction (국민건강정보 기반 진료과목 예측)

  • Ahn, Shinyoung;Lee, Yookyung;Piao, Minghao;Byun, Jeongyong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.10a
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    • pp.546-547
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    • 2016
  • 생활수준의 향상 및 소비자들의 건강에 대한 관심의 증가로 인해 자신의 건강에 대해서 스스로 결정하고자 하는 요구가 점차 증가하고 있다. IT와 의료기술의 발달은 이를 가능하게 하였으며 각종 의료정보를 기반으로 하는 질병진단에 대한 연구가 많이 진행되고 있다. 본 논문에서는 국민건강정보 기반 진료과목 예측에 대한 연구를 진행하여 소비자 스스로 진료과목을 선택하는데 도움을 주고자 한다.

Analysis on the Accessibility of the Primary Medical Facilities in Jinju City (진주시 1차 의료시설의 접근성 분석)

  • Kim, Mi Song;Won, Tae Hong;Yoo, Hwan Hee
    • Journal of Korean Society for Geospatial Information Science
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    • v.23 no.3
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    • pp.49-55
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    • 2015
  • Current medical delivery system in Korea has been distinguished into three types; primary medical facilities, secondary facilities, and tertiary facilities since 1989. This system prevents the waste of medical resources along with the maintenance of balance according to the medical treatment subjects. However, it is inevitable that the imbalance of the medical services among regions has been generated due to the concentration of the medical facilities on large cities. In this regard, this study attempted to evaluate the quality of the primary medical services, emphasizing accessibility and convenience targeting Jinju city, a small and medium-sized city, based on the distribution characteristics of the space. The study results show that cohesion index about the spatial distribution of the primary care facilities was 0~0.25. It conducted a correlation analysis between the location of the hospitals and users, based on the study results. Finally, it is demonstrated the correlation between the location of the hospitals and users tended to be low, while, the cohesion of the Oriental medicine clinics was high in other treatment subjects, and the accessibility to the Oriental medicine clinics was the highest because most Oriental medicine clinics were distributed to the places where users were many. However, on account that the locations of the medical facilities and users were varied in other treatment subjects except for the Oriental medicine clinics, problems were generated in terms of the accessibility. Therefore, it is judged that the preparation of the measures to improve the selection of lots in consideration of users, who use the primary medical services, is required.

회원병원 소개 - '사랑과 봉사'의 정신을 구현하는 청주성모병원

  • 한국가톨릭의료협회
    • Health and Mission
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    • s.28
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    • pp.8-11
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    • 2012
  • 충청북도 청주시 상당구 주중동에 위치한 청주성모병원은 (구)리라병원이 문을 닫게 되어 충북지역 주민의 건강유지, 질병치료에 큰 지장을 초래하게 됨에 따라 천주교 청주교구에서 재정적인 어려움을 무릅쓰고 가톨릭정신에 입각하여 지역주민의 의료에 일익을 담당하고자 병원을 인수하였다. 1998년 3월 25일 122병상 21개 전문진료 과목으로 개원한 이래 지역주민의 신뢰와 호응에 힘입어 현재 의료진 119(전공의 포함)명, 간호사 307명을 포함하여 총 831명이 근무하고 있으며 498병상에 21개 전문 진료과목을 갖추고 충북 지역 의료를 선도하는 지역 거점병원으로 자리매김하게 되었다.

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The Spatial Characteristics of Clinic Distribution by Specialty Subject (진료 전문과목별 개원 의원의 공간적 분포 특성)

  • Seo, Wee-Yeun;Lee, Keum-Sook
    • Journal of the Economic Geographical Society of Korea
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    • v.10 no.2
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    • pp.153-166
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    • 2007
  • This study attempts to investigate the spatial characteristics of medical hospital distributions in Korea. For the purpose we examine the inter- and intra regional variations in the distributions of clinics by specialty subject. In particular, we analyze the distribution patterns of Location Quotients of clinics for 12 specialty subjects in Seoul. Medical services tend to be concentrated on the large cities, especially in the Metropolitan Seoul Area. In particular, clinics and medical doctors as well as large scale general hospitals have been strongly concentrated on the Metropolitan Seoul area. These circumstace may be related with the fact that medical hospitals are established and operated by private sector in Korea, and thus they attempt to find their location where they can get maximum profit. The distribution patterns of clinics of 12 specialty subjects can be classified to several characteristic patterns. In particular, clinics of plastic surgeon tend to be strongly concentrated on the Gangnam area in Seoul. Finally, clinics of plastic surgeon tend to be located on the areas near the subway stations along the subway Line 2 and Line 3 in the beginning. The existence of plastic surgeons turns out to have significant role on determining the location for the newly opening plastic surgeons in the later. Therefore, their agglomeration has been getting more strongly.

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A Legal Study on Division of Labor and Collaboration within the Same Medical Institution (동일 의료기관 내에서의 분업과 협진에 대한 법적 고찰)

  • Baek, Kyoung-hee
    • The Korean Society of Law and Medicine
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    • v.24 no.3
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    • pp.27-55
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    • 2023
  • The term "Collaborative medical care" commonly used in South Korea refers to the case where doctors from different medical departments work together to treat a patient within the same medical institution. Therefore, "Collaborative medical care" represents the aspect of a medical team where various medical professionals collaborate based on their expertise to treat patients. Additionally, doctors from different specialties within the medical team engage in horizontal division of labor at an equal status, distributing legal responsibilities according to the principles of division of labor. The Supreme Court also acknowledges cases where multiple doctors collectively provide medical treatment through division of labor or collaboration and states that the doctor who initially attended to the patient must accurately inform the subsequent attending doctor about the patient's condition to enable appropriate measures. In medical institutions with multiple specialties, when doctors from different specialties collaborate to provide medical treatment, the doctor who attended to the patient initially must decide whether collaboration is necessary based on the patient's condition. Subsequently, they must inform the doctor from the relevant specialty about the patient's condition accurately to facilitate appropriate actions. The successor doctor who participates in collaborative medical care must actively communicate relevant treatment information related to the patient's condition with the predecessor doctor who requested collaboration, exchange opinions, and do so until the patient's treatment concludes. However, the determination of the necessity of collaborative medical care should be based on the patient's condition at the time, and it cannot be asserted that collaborative medical care is mandatory in all cases. Whether there is negligence in the decision about the necessity of collaboration will be assessed based on the legal principles of a doctor's duty of medical care.