Development of a Web-Based Decision Support Tool to Operationalize and Optimize Management of Hyperbilirubinemia in

Jonathan P Palma1, Yassar H Arain2

  • 1Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA; Department of Clinical Informatics, Stanford Children's Health, 4100 Bohannon Drive, Menlo Park, CA 94025, USA.

Insights

Premie BiliRecs automates hyperbilirubinemia management for preterm infants. This clinical decision support tool standardizes care based on guidelines and generates evidence for future recommendations.

Area of Science:

  • Neonatal Medicine
  • Clinical Informatics
  • Evidence-Based Practice

Background:

  • Hyperbilirubinemia is a common condition in preterm infants.
  • Management of hyperbilirubinemia in moderately preterm infants (<35 weeks gestational age) relies on expert consensus guidelines.
  • Current guideline implementation can be variable.

Purpose of the Study:

  • To introduce Premie BiliRecs, a novel electronic clinical decision support tool.
  • To operationalize and automate existing expert consensus-based guidelines for hyperbilirubinemia management.
  • To facilitate the generation of new practice-based evidence for future guideline development.

Main Methods:

  • Development of an electronic clinical decision support tool (Premie BiliRecs).
  • Integration of current expert consensus-based guidelines into the tool's algorithm.
  • Design for automated data capture to support evidence generation.

Main Results:

  • Premie BiliRecs provides a novel, automated approach to managing hyperbilirubinemia.
  • The tool standardizes the application of current clinical guidelines.
  • The system is designed to collect data for future research and guideline refinement.

Conclusions:

  • Premie BiliRecs offers a valuable tool for improving hyperbilirubinemia management in moderately preterm infants.
  • Automation of guidelines enhances consistency and efficiency of care.
  • The tool has the potential to contribute to the evolution of clinical practice through evidence generation.

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