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We will use information technology to integrate the 2004 American Academy of Pediatrics guidelines for management of neonatal hyperbilirubinemia with laboratory reporting of newborn bilirubin test results to improve physician adherence to the guidelines and quality of care.
In 2004, the American Academy of Pediatrics disseminated clinical practice guidelines for the management of neonatal hyperbilirubinemia. Using the infant's age in hours, serum bilirubin levels are applied to hour-specific nomograms to assess risk of developing significant hyperbilirubinemia as well as the necessity for treatment. Prior guidelines did not include nomograms for either. A systems approach to managing neonatal hyperbilirubinemia, including use of the nomograms, has been shown to improve outcomes and patient safety.
Despite the existence of these guidelines, decision support does not exist within MGH clinical information systems for managing neonatal hyperbilirubinemia. We propose to create BiliCurves, an application that integrates perinatal information from the obstetrical health record with that of the newborn's, providing seamless reporting of neonatal bilirubin results in the context of the practice guidelines and relevant obstetrical data. BiliCurves will graphically superimpose bilirubin results onto hour-specific guideline nomograms that providers can view when viewing bilirubin results. We propose to randomize BiliCurves access to pediatric providers, and study its effects on management of hyperbilirubinemia both during birth hospitalization as well as in the outpatient setting after discharge. We hypothesize infants treated by physicians with BiliCurves access will receive birth hospitalization phototherapy at a higher rate and readmission for hyperbilirubinemia at a lower rate than that of the control group. We also hypothesize that physicians with BiliCurves access will report greater ease and confidence in nomogram use and providing evidence-based care as BiliCurves obviates the provider having to have access to paper based versions of the nomogram (usual care) as well decreases potential errors in plotting test results on the nomograms.
Observational Model: Cohort, Time Perspective: Prospective
Massachusetts General Hospital
Massachusetts General Hospital
Published on BioPortfolio: 2014-08-27T03:25:54-0400
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