Seoul National University · Health Professions
Professor Hyeoun-Ae Park's research lab specializes in health informatics, clinical decision support systems, and patient-centered digital health interventions. The lab focuses on developing and evaluating mobile health applications based on clinical practice guidelines, advancing semantic interoperability in electronic health records through standardized clinical terminologies, and leveraging digital data—including social media—for public health research. A key emphasis is on ethical and privacy-sensitive approaches to health data use, particularly through innovative models like data cooperatives.
Figures are computed from collected data and may differ slightly.
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.
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