• Title/Summary/Keyword: 의료 영역

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영역분쟁, 무엇이 문제인가?

  • An, Jeong-Mi
    • The Journal of the Korean dental association
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    • v.37 no.2 s.357
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    • pp.117-122
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    • 1999
  • 의료계에서는 사실 보이지 않게 영역문제로 갈등을 겪고 있으며 치과에서는 특히 메디컬적 성격이 강한 구강악안면외과가 성형외과나 이비인후과와 영역갈등을 겪고 있는 것으로 나타났다. 이에 구강악안면외과를 중심으로 타의과와의 영역문제와 대책에 대해서 살펴본다.

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Building a Korean conversational speech database in the emergency medical domain (응급의료 영역 한국어 음성대화 데이터베이스 구축)

  • Kim, Sunhee;Lee, Jooyoung;Choi, Seo Gyeong;Ji, Seunghun;Kang, Jeemin;Kim, Jongin;Kim, Dohee;Kim, Boryong;Cho, Eungi;Kim, Hojeong;Jang, Jeongmin;Kim, Jun Hyung;Ku, Bon Hyeok;Park, Hyung-Min;Chung, Minhwa
    • Phonetics and Speech Sciences
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    • v.12 no.4
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    • pp.81-90
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    • 2020
  • This paper describes a method of building Korean conversational speech data in the emergency medical domain and proposes an annotation method for the collected data in order to improve speech recognition performance. To suggest future research directions, baseline speech recognition experiments were conducted by using partial data that were collected and annotated. All voices were recorded at 16-bit resolution at 16 kHz sampling rate. A total of 166 conversations were collected, amounting to 8 hours and 35 minutes. Various information was manually transcribed such as orthography, pronunciation, dialect, noise, and medical information using Praat. Baseline speech recognition experiments were used to depict problems related to speech recognition in the emergency medical domain. The Korean conversational speech data presented in this paper are first-stage data in the emergency medical domain and are expected to be used as training data for developing conversational systems for emergency medical applications.

혼란의 시기에 윤리의 역할 강화하기

  • 한국가톨릭의료협회
    • Health and Mission
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    • s.20
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    • pp.38-40
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    • 2010
  • 윤리적 영역에 대한 인식을 키우는 일은 어떤 결정과 실천이 기관의 정체성 요구와 부합되는지 그리고 실제로 그 같은 행위가 인간 존엄성을 존중하고 그들의 안녕을 진작시키리라는 것을 확실하게 보장해 줄 수 있다.

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Convergence outpatient medical service patient experience research using data mining (데이터마이닝 기법을 이용한 융복합 외래 의료서비스 환자경험조사 연구)

  • Yoo, Jin-Yeong
    • Journal of Digital Convergence
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    • v.18 no.7
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    • pp.299-306
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    • 2020
  • The purpose of this study is to find out specific measures that can help the management strategy of patient-centered medical institutions by conducting research on patient experience surveys of convergence outpatient medical services using data mining techniques according to changes in patient-centered medical culture. Using the raw data of the 2018 Medical Service Experience Survey, 8,843 people over the age of 15 who had patient experience in outpatient medical services were analyzed. Decision tree analysis was performed. The determinants of satisfaction with outpatient medical services patient experience were the doctor's area and patient's rights protection area, and the determinants of intention to recommend outpatient medical services were the doctor's area and facilities comfort. Women evaluated the experience positively in overall satisfaction as compared to men, and those over the age of 60 positively evaluated the overall satisfaction and intention to recommend. It is significant that the outpatient experience decision-making model is presented, and that the doctor's area, patient's rights protection area, and facility comfort are important factors. Long-term research on the 'Medical Service Experience Survey' is needed, and research on the inpatient medical service experience is needed.

Medicolegal Problems in Pediatric Area (소아과 영역에서 의료분쟁)

  • Kwon, Soo Jeong;Jang, Ji Young;Kim, Nam Su;Yum, Myung Kul;Seol, In Joon;Jung, Ku Won
    • Clinical and Experimental Pediatrics
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    • v.48 no.8
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    • pp.813-819
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    • 2005
  • Purpose : Medicolegal problems start when the patient asserts the mistake of doctor and doctor does not accept it. The purpose of this study is to assess the actual condition of medicolegal problems and to provide solutions of medicolegal problems in the pediatric field. Methods : There is not official statistical data about medicolegal problems in our country. We gathered data of legal insurance program of Korean Medical Association(KMA) and court cases and other fragmentary data. Results : Between 1981 and 1995, of total 2,338 cases reported to legal problem insurance program of KMA, most common ones were 748 cases of obstetrics and gynecology. Pediatric case was ranked at the 5th, 74 cases(3.1%). According to analysis of 41 medicolegal cases' after 1990, maltreatment of patient had the highest incidence of 14 cases, injection and medication were related to 12 cases, misdiagnosis was 9 cases, patient management were related to 4 cases, and others were 2 cases. The trial result of the medicolegal cases was that 31 cases were compensated, and 8 cases were defeated, and 2 cases were still in the process. Conclusion : The aspect of medical legal problem has the tendency of radicalism and systematization. This brings an economic destitution in the patient and gives damage to a doctor. In order to reduce medicolegal problem, doctor should offer a duty of explanation and efforts to his best to satisfy patient and endeavor to make an intimate doctor-patient relationship.

Medical Diagnosis Problem Solving Based on the Combination of Genetic Algorithms and Local Adaptive Operations (유전자 알고리즘 및 국소 적응 오퍼레이션 기반의 의료 진단 문제 자동화 기법 연구)

  • Lee, Ki-Kwang;Han, Chang-Hee
    • Journal of Intelligence and Information Systems
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    • v.14 no.2
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    • pp.193-206
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    • 2008
  • Medical diagnosis can be considered a classification task which classifies disease types from patient's condition data represented by a set of pre-defined attributes. This study proposes a hybrid genetic algorithm based classification method to develop classifiers for multidimensional pattern classification problems related with medical decision making. The classification problem can be solved by identifying separation boundaries which distinguish the various classes in the data pattern. The proposed method fits a finite number of regional agents to the data pattern by combining genetic algorithms and local adaptive operations. The local adaptive operations of an agent include expansion, avoidance and relocation, one of which is performed according to the agent's fitness value. The classifier system has been tested with well-known medical data sets from the UCI machine learning database, showing superior performance to other methods such as the nearest neighbor, decision tree, and neural networks.

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마이크로/나노기술과 바이오 및 의료기술의 융합

  • Kim, Tae-Song
    • Ingenium
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    • v.16 no.1
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    • pp.41-46
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    • 2009
  • 마이크로기술과 나노기술은 기존의 타 영역의 기술과 융합되어 세계적으로 앞서있는 선행주자들이 지배하고 있는 의료영역에서의 새로운 기술적 독자성을 확보 할 수 있는 새로운 가능성을 제공해 주고 있다. 끝없는 경쟁 속에 효율적으로 우리가 추구해야 할 연구방향으로서 마이크로/나노기술의 연구를 해야 하는 당위성을 제시하고 있다고 할 수 있다. 이러한 상황 속에서 국내에서 가장 먼저 시작한 지능형마이크로시스템 사업단의 융합연구결과가 국내 융합연구의 저변을 다져왔고 그 열매는 국가의 새로운 산업으로 잘 이어져 국부창출로 나타나리라 기대한다.

Evaluating the Primary Care Quality of a Public Health Center in a Rural Area (농촌 지역 보건소 일차의료의 질 평가)

  • Byeon, Young-Kwan;Choi, Yong-Jun
    • Journal of agricultural medicine and community health
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    • v.42 no.1
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    • pp.24-35
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    • 2017
  • Objectives: This study aimed to evaluate the primary care quality of a public health center in a rural area using the Korean Primary Care Assessment Tool (KPCAT). It also examined some methodological issues in applying the KPCAT and interpreting its results. Methods: Seventy-nine patients who had visited their doctor more than four times responded to the KPCAT questionnaire. Descriptive statistics and a radar chart were used in analyzing data. Sign test was used to test the KPCAT score difference by don't know option scoring methods. Results: Median and interquartile range of the public health center's KPCAT scores were forty-five and sixteen points, respectively. Only the median of the first contact domain reached the expected value of seventy-five points. The proportions of those who scored under the expected value were under fifty percent in two of four comprehensiveness items, all of three coordinating function items, two of five personalized items and all of four family/community orientation items. There were some methodological issues including, how to score don't know option and make sure response scale consistency. Conclusions: There was much room to improve the primary care quality of the rural public health center. Especially, improvement is needed in the domain of coordinating function and family/community orientation. We also hope that methodological improvement of the KPCAT contributes to more valid and reliable primary care assessment.

Segmentation of Lung and Lung Lobes in EBT Medical Images (EBT 의료 영상에서 폐 영역 추출 및 폐엽 분할)

  • 김영희;이성기
    • Journal of KIISE:Software and Applications
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    • v.31 no.3
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    • pp.276-292
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    • 2004
  • In this paper. we present methods that extract lung regions from chest EBT(electron beam tomography) images then segment the extracted lung region into lung lobes. We use histogram based thresholding and mathematical morphology for extracting lung regions. For detecting pulmonary fissures, we use edge detector and knowledge-based search method. We suggest this edge detector, which uses adaptive filter scale, to work very well for real edge and insensitive for edge by noise. Our experiments showed about 95% accuracy or higher in extracting lung regions and about 5 pixel distance error in detecting pulmonary fissures.