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- W2528778082 abstract "Effective biomedical informatics applications supporting newborn populations must go beyond simply adapting data systems or decision support tools designed for adult or even pediatric patient care. Within the neonatal intensive care unit (NICU), additional precision is required in the measurement of data elements such as age and weight where day-to-day changes may be clinically relevant. Data integration is also critical as vital information including the infant’s gestational age and maternal medical history originate from the mother’s medical chart or prenatal records. Access to these relevant data may be limited by barriers between institutions where care was provided, the transition between types of care providers (obstetrics to neonatology), appropriate privacy concerns, and the absence or unreliability of traditional identifiers used in linking records such as name and social security number. We explore challenges unique to the newborn population and review applications of biomedical informatics which have enhanced neonatal and perinatal care processes and enabled innovative research." @default.
- W2528778082 created "2016-10-14" @default.
- W2528778082 creator A5070560828 @default.
- W2528778082 date "2016-01-01" @default.
- W2528778082 modified "2023-09-27" @default.
- W2528778082 title "Informatics for Perinatal and Neonatal Research" @default.
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- W2528778082 doi "https://doi.org/10.1007/978-981-10-1104-7_8" @default.
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