Hyeoun-Ae Park is the Emeritus Dean and a Professor at College of Nursing and a Researcher at the Systems Biomedical Informatics Research Center, Seoul National University.
Dr. Park received her BS in Nursing from Seoul National University in Seoul Korea, and her MS and PhD in Biostatistics and Health Informatics from the University of Minnesota in Minneapolis Minnesota USA. Her post-doctorate education includes a one-year fellowship in health informatics at the U of M, and one year of research in SNOMED CT at the College of American Pathologists.
A consistent theme in her research has been the use of standardized terminologies and vocabularies, and detailed clinical models in electronic health records. Recently her research topics have expanded to the use of big data analytics in healthcare, especially the use of clinical big data to predict the occurrence of patient safety problems such as fall, pressure ulcer and adverse drug reactions. Dr. Park authored and co-authored more than 200 articles published in national and international journals, more than 30 chapters in books published in Korean and English and she also made more than 100 presentations at national and international conferences on the areas of her expertise.
Her outstanding contribution in informatics is the introduction of informatics to nursing education and nursing practice in Korea. She was the first to offer a nursing informatics course in Korea. She introduced master’s and Ph.D programs in Nursing Informatics, again a first for Korea. She played a crucial role in implementing the first standard terminology-based electronic nursing records system in Korea.
She had served IMIA as the vice president for Working Groups and Special Interest Groups from 2007 to 2013, and President Elect for 2013 to 2015 before she became the President. She also had served as the chair of the Nursing Informatics Special Interest Group in IMIA from 2012 to 2015.
Dr. Park is an interdisciplinary leader and a strong spokeswoman for the contribution of Informatics to healthcare in multiple inter-professional organizations such as WHO eHealth Task Force, and ISO/ TC 215 on health informatics.
Title: Medical Informatics Year in Review
The field of biomedical informatics is advancing drastically, especially in research and practice. In order to highlight the accomplishments of the research work, elicit research trends and identify research patterns of biomedical informatics at a macro level, a 7-person team conducted an extensive review of the literature on clinical and consumer health informatics published from October 2015 to September 2016. Journals reviewed include International Journal of Medical Informatics, Journal of American Medical Informatics Association, Journal of Biomedical Informatics, and Journal of Medical Internet Research. Keywords used in the search include decision support systems, EHR, electronic health records, m-health, consumer informatics, public health informatics, precision medicine, meaningful use, patient reported outcomes, clinical informatics, medical informatics, big data initiative, health information exchange, telemedicine, evaluation of EHR, consumer health informatics, precision medicine, and health informatics.
Research topics will be organized under 3 themes: the electronic health records (EHR), consumer health informatics, and the learning health system. Researches will also be grouped under 3 different research methodologies: quantitative, qualitative, and mixed methods.
Key findings include the following: There are significant advances in EHR implementation, however interoperability of EHR data is still an issue to fully realize the benefits of the EHR. Decision support systems are being implemented to improve clinical practice, however evidence of the impact on patient outcomes is still lacking. Mobile applications are being introduced to improve consumer engagement, however evidence of the impact on patient outcomes remains elusive. Big data are receiving increasing attention in healthcare, especially translational aspect, however data access and privacy remain issues. Quantitative methods are being used the most frequently, however we are beginning to see more use of mixed methods in biomedical informatics research.