Hyeoun‐Ae Park
서울대학교 간호학과 · 보건학
Hyeoun-Ae Park 교수의 연구실은 전자건강기록의 의미적 상호운용성과 임상용어 체계의 표준화를 핵심으로, 의료정보의 정확한 공유와 활용을 위한 학문적 기반을 구축하고 있습니다. 특히 임상 가이드라인 기반의 모바일 건강 관리 앱 개발, 청소년 우울증 관련 소셜미디어 데이터의 의미론적 분석, 디지털 에피데미올로지에서의 개인정보 보호와 데이터 접근성의 균형 등 실생활 임상 및 보건 정책 문제에 기초한 응용 연구를 지속적으로 수행하고 있습니다. 윤리적 의사결정 과정에서의 간호학생의 경험을 탐색하는 질적 연구를 통해 임상교육과 윤리적 실천의 연계성도 강조하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
Nursing researchers need to pay greater attention to guidelines concerning the use and reporting of LR models.
Background: Hypertension is a chronic and lifestyle-related disease that requires continuous preventive care. Although there are many evidence-based clinical practice guidelines (CPGs) for hypertension management, applying them to daily management can be difficult for patients with hypertension. A mobile app, based on CPGs, could help patients with hypertension manage their disease. Objective: To develop a mobile app for hypertension management based on CPGs and evaluate its effectiveness in pat
The ontology and terminology developed in this study provide a semantic foundation for analyzing social media data on adolescent depression. To be useful in social media data analysis, the ontology, especially the terminology, needs to be updated constantly to reflect rapidly changing terms used by adolescents in social media postings. In addition, more attributes and value sets reflecting depression-related sentiments should be added to the ontology.
Digital data collected for non-epidemiological purposes are being used to study health phenomena in a variety of topic domains. Digital epidemiology requires access to large datasets and advanced analytics. Ensuring open access is clearly at odds with the desire to have as little personal data as possible in these large datasets to protect privacy. Establishment of data cooperatives with restricted access may be a solution to this dilemma.
This Korean study replicated a previously published American study. The conceptual framework and method combined ethical enquiry and phenomenology. The research questions were: (1) What is nursing students' experience of ethical problems involving nursing practice? and, (2) What is nursing students' experience of using an ethical decision-making model? The participants were 97 senior baccalaureate nursing students, each of whom described one ethical problem and chose to use one of five ethical d
To realize the benefits of electronic health records, electronic health record information needs to be shared seamlessly and meaningfully. Clinical terminology systems, one of the current semantic interoperability solutions, were reviewed in this article. Definition, types, brief history, and examples of clinical terminologies were introduced along with phases of clinical terminology use and issues on clinical terminology use in electronic health records. Other attempts to standardize the captur
Diabetes self-care social motivation was significantly improved with our diabetes self-care app by sharing experiences and sympathizing with other diabetes patients. Diabetes self-care behavior was also significantly improved with the diabetes self-care app by providing an interface with a glucometer that removes the effort of manual input. Diabetes self-care information, diabetes self-care personal motivation, and diabetes self-care behavioral skills were not significantly improved. However, th
The use of Internet technology allowed immediate and easy access to interventions, real-time monitoring of progress, online education, tailored action planning, and tailored short message services using mobile phones.
ICT is not yet actively used in the TTM-based nursing interventions. Stage-matched interventions and TTM concepts were shown to be in partial use also in the TTM-based interventions. Therefore, it is necessary to develop a variety of ways to use ICT in tailored nursing interventions and to use TTM frameworks and concepts.
The Scott Triggers tool in model 2, which consists of simple items that are easy to extract from preanesthesia evaluation records, was the best fitting model. We recommend the Scott Triggers tool be used to predict the development of PIs in surgical patients in acute care settings.