Weight Variation in Term Newborns Hospitalized during Early Postnatal Period

PURPOSE: This study was performed to explore the weight variations in high-risk term newborns hospitalized during the early postnatal period. METHODS: A retrospective explorative study was performed with 64 term newborns who were hospitalized in the NICU after birth. Data on daily weight, birth information, and clinical features such as phototherapy, placements, nutritional status were reviewed through medical records for 14 days of life. General Linear Model, GLM was applied to analyze the weight variation by clinical features of these high-risk term newborns for 14 days of life. RESULTS: Newborns at 40 weeks of gestation showed little weight loss during the few days after birth then steadily gained weight to 7.6% at the 14th day. Infants born at 37-39 gestation showed little weight gain for 14 days though the weight loss itself was not apparent. As well, return to birthweight was not observed in newborns with phototherapy, infants placed on a warmer or infants having gastrointestinal dysfunction for 14 days of life. CONCLUSION: Even for term newborns, physiologic weight loss may not be warranted even if newborn is born at less than 40 week of gestation, or with high-risk conditions that warrant admission to NICU.

A Survey of Health Consumers' Attitude of Personnel Health Management Service Using PHR / 대한의료정보학회지

OBJECTIVE: This study was conducted to investigate public opinion regarding personal health management service using Personal Health Record (PHR) in Korea. Specifically, the relationships between consumer's demographic characteristics, need for health information, consumer's benefit and concern, type of health information, type of management and security of patient information using PHR and attitude to PHR were explored. METHODS: A survey was conducted, using questionnaire developed by the study team based on literature review. Structured questionnaires were completed through a telephone survey for 715 consumers. RESULTS: A key finding was the significant difference for customer's attitude towards using PHR by customer's characteristics. Regarding factors affecting attitudes of customers with higher concern about their health, considering authorization level to access their private information and using reliable method to certificate were more likely to prefer PHR system positively. CONCLUSION: Public opinion is reflected in policy of health information. Meeting consumers' needs sufficiently, the goal of health information service to improve consumers' accessibility to and satisfaction will archive successfully.

Information Extraction Using Concept Node Analysis of Brain Radiology Reports Summarization / 대한의료정보학회지

OBJECTIVE: Electronic Medical Record contains the majority of clinical data in unstructured text. The information in the textual document can be stored in conceptual format and used to support clinical care by text summarization technique. In this study, we present Information Extraction(IE) using Concept Node(CN) which is extraction rule in case frame from brain radiology reports in SNUH(Seoul National University Hospital) for summarization. METHOD: Following steps are performed: design conceptual model to define semantic entities as extraction templates of brain radiology report, build CN dictionary based on statistical syntactic pattern and development of parser to extract relevant information based on defined templates. RESULTS: The three evaluation results shows that 19% precision improvement after post processing supplemental specified complex verb construction and 19.24~21.25% accurate semantic effectiveness with extracting additional Korean noun. The average of precision is 85.18%, average of recall is 93.71% and F-measure is 0.89. CONCLUSION: Our approach has advantageous elements for different language at the same sentence. We expect this IE technology can summarize vast amount radiology texts material for clinical decision support system effectively and hope this study helps the evolution of clinical data representation in Korean medical records and its integration into the EMR in the future.