Clinical Decision Support for Hyperbilirubinemia Risk Assessment in the Electronic Health Record

John D Petersen1, Margaret Lozovatsky2, Daniela Markovic2

  • 1Olive View-UCLA Medical Center (JD Petersen), Sylmar, Calif.

Academic Pediatrics
|February 15, 2020
PubMed

Insights

Implementing an electronic health record tool significantly improved the accuracy of neonatal hyperbilirubinemia risk assessment, reducing documentation errors for jaundice risk levels in newborns.

Area of Science:

  • Neonatology
  • Medical Informatics
  • Public Health

Background:

  • Physiologic neonatal hyperbilirubinemia (jaundice) affects most newborns, but high bilirubin levels pose a risk of neurological damage.
  • Accurate risk assessment using bilirubin levels, risk factors, and nomograms is crucial for managing neonatal jaundice.
  • Manual assessment is time-consuming and prone to errors, leading to the development of tools like BiliTool.

Purpose of the Study:

  • To integrate neonatal hyperbilirubinemia risk assessment into the electronic health record (EHR) for streamlined management.
  • To develop and evaluate a tool named "BiliReport" for automating data transmission and improving documentation accuracy.

Main Methods:

  • Created "BiliReport" to display patient data and automatically send deidentified information to the BiliTool website.
  • Evaluated BiliReport's usage, provider satisfaction, and accuracy of documentation post-implementation.

Main Results:

  • High provider utilization and satisfaction with the BiliReport workflow were observed.
  • A significant reduction in erroneous bilirubin risk level documentation from 4% to 0.4% (P < 0.001) was achieved.
  • No significant difference was found in the accuracy of documenting bilirubin lab values (P = 0.07).

Conclusions:

  • Integrating neonatal hyperbilirubinemia risk assessment into EHR systems can minimize errors.
  • Improved provider documentation and adherence to clinical guidelines are potential benefits of EHR integration.
Abstract

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