• Title/Summary/Keyword: Ethical guideline

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Awareness and Ethical Attitudes about DNR of Emergency Department Students(Differences in Recognition According to Bioethics Education) (DNR에 대한 응급구조학과 학생들의 인식과 윤리적 태도(생명윤리 교육에 따른 인식 비교))

  • Jung, Ji-Yeon;Shin, Sang-Yol
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.2
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    • pp.1074-1082
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    • 2014
  • This study as a descriptive survey attempts to establish the objective foundation for DNR as investigating Emergency Medical Technology students' recognition and ethical attitudes on DNR. The structured questionnaires were given to 257 students who are studying in Jeollanam-Do and Jeollabuk-Do between the period of September 1 and September 30, 2012. The data were analyzed in frequency, percentage, $x^2$-test, and crosstabs by using SPSS 18.0 program. The results indicated that ethical attitudes on DNR were statistically significant by individual's general factors such as sex, age, religion, and education. According to the result, it is necessary to have an objective guideline of ethical attitudes and offer professional education continuously about DNR in order to have sufficient information to establish the objective foundation for DNR.

Research on institutional improvement measures to strengthen artificial intelligence ethics (인공지능 윤리 강화를 위한 제도적 개선방안 연구)

  • Gun-Sang Cha
    • Convergence Security Journal
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    • v.24 no.2
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    • pp.63-70
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    • 2024
  • With the development of artificial intelligence technology, our lives are changing in innovative ways, but at the same time, new ethical issues are emerging. In particular, issues of discrimination due to algorithm and data bias, deep fakes, and personal information leakage issues are judged to be social priorities that must be resolved as artificial intelligence services expand. To this end, this paper examines the concept of artificial intelligence and ethical issues from the perspective of artificial intelligence ethics, and includes each country's ethical guidelines, laws, artificial intelligence impact assessment system, artificial intelligence certification system, and the current status of technologies related to artificial intelligence algorithm transparency to prevent this. We would like to examine and suggest institutional improvement measures to strengthen artificial intelligence ethics.

A Study on the Issues on Moral Rights of Oral History Resource (구술자료의 인격적인 권리에 관한 연구)

  • Lee, Ho-Sin
    • Journal of Korean Society of Archives and Records Management
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    • v.12 no.3
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    • pp.47-69
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    • 2012
  • There are so many personal experiences and innermost feelings in oral history resource. Thus, when we use the oral history resource, it has a lot of the possibility to arise ethical and legal issues. To prevent the problems and to protect interviewee, it is needed to comply the guideline for ethical and legal issues through the oral history project. The ethical issues are applied to every step of the project. The most important principle for ethical issues are the mind to protect the dignity of interviewee. The moral right is classified the right of privacy and defamation issues. The right of privacy is basic human rights to guard for the freedom of the individual. The defamation is defined as a false statement of the fact about a person which tend to injure that person's interest.

Barriers on Development of Clinical Practice Guidelines for Cardiopulmonary Resuscitation (임상진료지침 개발과정의 장애요인 - 심폐소생술을 중심으로 -)

  • Park, Seong-Hi
    • Quality Improvement in Health Care
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    • v.7 no.1
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    • pp.46-58
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    • 2000
  • Background : Despite favorable effects of guidelines on patient care, guidelines often fail to achieve their objectives. Poorly implemented medical practice guidelines can produce only weak effects on the process of health care delivery. Therefore, we performed this study to investigate barriers related development of clinical practice guidelines. Methods : Cardiopulmonary resuscitation was selected as a target problem. Self questionnaires about management of cardiopulmonary resuscitation were developed by a researcher with advisory 8 experts. The questionnaires were designed as a unstructured methods. The data were collected from March 1 to May 31, 1999. A total 50 death case admitted inpatient to Inha University Hospital were subjected to evaluate the development and application of clinical practice guidelines for cardiopulmonary resuscitation. The data were examined by frequency, t-test with SPSS. Result : The article reviewed several common barriers that might limit successful implementation of guidelines in clinical practice, as illustrated by evaluating recommendations for cardiopulmonary resuscitation clinical practice guidelines. Some major problems with guidelines were characterized as follows (1) ethical problem : euthanasia, (2) occurrence on various emergency event and setting, (3) non-medical problems (4) unreliable of medical record etc. Conclusion : Careful analysis of guideline attributes, anticipated effect on medical care, and organizational factors revealed several barriers to successful guideline implementation that should be addressed in the design of future guideline-based interventions.

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Toxicity prediction of chemicals using OECD test guideline data with graph-based deep learning models (OECD TG데이터를 이용한 그래프 기반 딥러닝 모델 분자 특성 예측)

  • Daehwan Hwang;Changwon Lim
    • The Korean Journal of Applied Statistics
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    • v.37 no.3
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    • pp.355-380
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    • 2024
  • In this paper, we compare the performance of graph-based deep learning models using OECD test guideline (TG) data. OECD TG are a unique tool for assessing the potential effects of chemicals on health and environment. but many guidelines include animal testing. Animal testing is time-consuming and expensive, and has ethical issues, so methods to find or minimize alternatives are being studied. Deep learning is used in various fields using chemicals including toxicity prediciton, and research on graph-based models is particularly active. Our goal is to compare the performance of graph-based deep learning models on OECD TG data to find the best performance model on there. We collected the results of OECD TG from the website eChemportal.org operated by the OECD, and chemicals that were impossible or inappropriate to learn were removed through pre-processing. The toxicity prediction performance of five graph-based models was compared using the collected OECD TG data and MoleculeNet data, a benchmark dataset for predicting chemical properties.

Informed Consent' in Public Health Activities: Based on the Universal Declaration on Bioethics and Human Rights, UNESCO (공중보건 활동에서의 '사전 동의' 문제 - 유네스코 <생명윤리 및 인권에 관한 선언>을 중심으로 -)

  • Meng, Kwang-Ho
    • Journal of Preventive Medicine and Public Health
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    • v.41 no.5
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    • pp.339-344
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    • 2008
  • Objectives : The objective of this paper is to discuss the importance of obtaining informed consent for conducting epidemiological studies and public health activities, based on the Report of the UNESCO's Working Group on Informed Consent. Methods : The Report of the UNESCO's Working Group on Informed Consent was reviewed and discussed in connection with the ethical considerations of public health activities and epidemiological research. Results : It was at the Nuremberg Trial for the German war criminals of the Second World War that the principle of 'consent' was first stated as a consequence of the medical abuses carried out during the War. As a result of the Trial, the Nuremberg Code came out in 1947. Since then, various international declarations or ethical principles on 'informed consent' have been developed and published. These ethical principles on 'informed consent' have mostly to do with the clinical research that involves human subjects, and not with epidemiological studies and public health activities. However, UNESCO recently issued a comprehensive Report on Informed Consent based on the Universal Declaration on Bioethics and Human Rights adopted in 2005, and this included detailed guidelines on informed consent in epidemiological studies and public health activities. Conclusions : Universal Declaration on Bioethics and Human Rights emphasizes the principle of autonomy to protect the human rights of the human subjects involved in any public health activities and epidemiological research. As a practical guideline, obtaining informed consent is strongly recommended.

Understanding of Clinical Trials and Application to the Real Practice (임상시험의 단계별 이해 및 실제)

  • Choi, SungKu
    • Korean Journal of Biological Psychiatry
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    • v.19 no.4
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    • pp.153-158
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    • 2012
  • Understanding of a clinical trial is essential in developing clinical guideline and adopting evidence based practice. In designing and executing clinical trials, following ethical requirements should be considered : social value, scientific validity, fair subject selection, informed consent, favorable risk-benefit ratio, institutional review board, and respect for human subjects. According to the stage of drug development, purpose of trials, accumulated scientific data, clinical trials for drug development are classified as phase 1, 2, 3, and 4. Phases of clinical trials can be overlapped and the judgment of entering into the next phase should be considered highly strategically. In reading, evaluating and interpreting clinical trial reports, various skills and challenges exist. Patient sample composition, trial duration, selection of endpoints, responders and non-responders, placebo effect, patient recruitment, and extrapolation to the real world are the examples of those challenges. Treatment success will come from the well balanced approach of evidence based decision making and consideration of specific single case.

Clinical Preventive Dental and Dental Hygiene Practice by Caries Management by Risk Assessment (CAMBRA) (Caries Management by Risk Assessment (CAMBRA) 모형에 따른 임상 예방치과 및 치위생 진료)

  • Cho, Young-Sik
    • Journal of dental hygiene science
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    • v.12 no.6
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    • pp.545-557
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    • 2012
  • Dental caries is biofilm induced disease throughout life and is recognized significant oral health problem. This article reviewed new trends in dental caries management by risk assessment, including history, protocol/guideline, and collaborated model. Dental caries prevention and treatment according to caries management by risk assessment (CAMBRA) model is patient-centered, risk-based, evidence-based practice. Team approach is necessary and clinician need to integrate science, practice and product. Dental hygienist take a important role in implementing CAMBRA. CAMBRA model could be incorporated into clinical dental hygiene education based on dental hygiene process of care as standard of dental hygiene practice and education. Dentist and dental hygienist able to provide scientific and ethical care managing dental caries by risk assessment.

Suicide Prevention Policy Guideline Model Considering Privacy Law in Korea

  • Do-Hyun Kwon
    • Korean Journal of Biological Psychiatry
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    • v.30 no.1
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    • pp.7-16
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    • 2023
  • Objectives This study aimed to review the Korean Constitution articles 14 and 20 of the "Law on suicide prevention" and investigate public perceptions of specific improvements to suicide prevention policies using results from the Korean 2018 National Survey on Suicide. Methods The questionnaire was designed to analyzing the act restricts sharing of patient information between hospitals, making it difficult to track suicide attempts. The questionnaire was also designed to suggest further medical and normative criteria for objective judgment of continuous follow-up utilizing suicide risk evaluations and proportional principle review that consider patients' and medical staff's basic rights. Results This study identified the result of the 1500 respondents, 79.1% believed that Korea should allow suicide prevention management to be implemented without requiring individual consent to protect suicide attempters. Conclusions According the results, I propose the following criteria for policy improvement: use of anonymized information and non-profit research for technical and ethical considerations, access to medical information only for therapeutic purposes, and use of surgical severity assessment criteria appropriate for Korea.

The Development of Artificial Intelligence-Enabled Combat Swarm Drones in the Future Intelligent Battlefield (지능화 전장에서 인공지능 기반 공격용 군집드론 운용 방안)

  • Hee Chae;Kyung Suk Lee;Jung-Ho Eom
    • Convergence Security Journal
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    • v.23 no.3
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    • pp.65-71
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    • 2023
  • The importance of combat drones has been highlighted through the recent outbreak of the Russia-Ukraine war. The combat drones play a significant role as a a game changer that alters the conventional wisdom of traditional warfare. Many pundits expect the role of combat swarm drones would be more crucial in the future warfare. In this regard, this paper aims to analyze the development of artificial intelligence-enabled combat swarm drones. To transform the human-operated swarm drones into fully autonomous weaponry system our suggestions are as follows. Developments of (1) AI algorithms for optimized swarm drone operations, (2) decentralized command and control system, (3) inter-drones' mission analysis and allocation technology, (4) enhanced drone communication security and (5) set up of ethical guideline for the autonomous system. Specifically, we suggest the development of AI algorithms for drone collision avoidance and moving target attacks. Also, in order to adjust rapidly changing military environment, decentralized command and control system and mission analysis allocation technology are necessary. Lastly, cutting-edging secure communication technology and concrete ethical guidelines are essential for future AI-enabled combat swarm drones.