Literature DB >> 32058105

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

John D Petersen1, Margaret Lozovatsky2, Daniela Markovic2, Ray Duncan3, Simon Zheng3, Arash Shamsian4, Sonya Kagele4, Mindy K Ross4.   

Abstract

BACKGROUND: Physiologic neonatal hyperbilirubinemia (jaundice) is common and affects most newborn infants. However, there is a risk for permanent neurological damage if the bilirubin levels rise above a certain threshold. The management of neonatal jaundice includes the assessment of bilirubin laboratory values, consideration of patient-specific risk factors, and plotting on a bilirubin nomogram reference to determine risk and guide therapy. When performed manually, the process can be time consuming and error-prone. Therefore, web-based calculators such as BiliTool have been developed to assist in risk assessment.
METHODS: To streamline the risk assessment calculation process further within our electronic health record (EHR), we created a "BiliReport" to display patient bilirubin-related data and automate transmission of deidentified patient data to the BiliTool website (https://bilitool.org). After implementation, we evaluated usage data, provider satisfaction, and accuracy of documentation.
RESULTS: We demonstrated high provider use of the BiliReport and satisfaction with the workflow. We found a significant improvement in the accuracy of bilirubin risk level documentation, with a reduction in erroneous risk stratification from 4% (15/232) to 0.4% (1/243), P < 0.001. We did not find significant a difference in erroneous documentation of the bilirubin lab value (P = 0.07).
CONCLUSIONS: Integrating the neonatal hyperbilirubinemia risk assessment process into the EHR may reduce errors and improve provider documentation and adherence to recommended guidelines.
Copyright © 2020 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  clinical decision support; electronic health record; neonatal hyperbilirubinemia

Mesh:

Year:  2020        PMID: 32058105      PMCID: PMC8221402          DOI: 10.1016/j.acap.2020.02.009

Source DB:  PubMed          Journal:  Acad Pediatr        ISSN: 1876-2859            Impact factor:   3.107


  8 in total

Review 1.  Hyperbilirubinemia in the newborn infant > or =35 weeks' gestation: an update with clarifications.

Authors:  M Jeffrey Maisels; Vinod K Bhutani; Debra Bogen; Thomas B Newman; Ann R Stark; Jon F Watchko
Journal:  Pediatrics       Date:  2009-09-28       Impact factor: 7.124

2.  Physician stress and burnout: the impact of health information technology.

Authors:  Rebekah L Gardner; Emily Cooper; Jacqueline Haskell; Daniel A Harris; Sara Poplau; Philip J Kroth; Mark Linzer
Journal:  J Am Med Inform Assoc       Date:  2019-02-01       Impact factor: 4.497

3.  Tethered to the EHR: Primary Care Physician Workload Assessment Using EHR Event Log Data and Time-Motion Observations.

Authors:  Brian G Arndt; John W Beasley; Michelle D Watkinson; Jonathan L Temte; Wen-Jan Tuan; Christine A Sinsky; Valerie J Gilchrist
Journal:  Ann Fam Med       Date:  2017-09       Impact factor: 5.166

4.  Incidence and causes of severe neonatal hyperbilirubinemia in Canada.

Authors:  Michael Sgro; Douglas Campbell; Vibhuti Shah
Journal:  CMAJ       Date:  2006-09-12       Impact factor: 8.262

5.  Incidence of chronic bilirubin encephalopathy in Canada, 2007-2008.

Authors:  Michael Sgro; Douglas M Campbell; Sharmilaa Kandasamy; Vibhuti Shah
Journal:  Pediatrics       Date:  2012-09-10       Impact factor: 7.124

6.  Predischarge screening for severe neonatal hyperbilirubinemia identifies infants who need phototherapy.

Authors:  Vinod K Bhutani; Ann R Stark; Laura C Lazzeroni; Ronald Poland; Glenn R Gourley; Steve Kazmierczak; Linda Meloy; Anthony E Burgos; Judith Y Hall; David K Stevenson
Journal:  J Pediatr       Date:  2012-10-05       Impact factor: 4.406

7.  Management of hyperbilirubinemia in the newborn infant 35 or more weeks of gestation.

Authors: 
Journal:  Pediatrics       Date:  2004-07       Impact factor: 7.124

8.  Development of a Web-based decision support tool to increase use of neonatal hyperbilirubinemia guidelines.

Authors:  Christopher Longhurst; Stuart Turner; Anthony E Burgos
Journal:  Jt Comm J Qual Patient Saf       Date:  2009-05
  8 in total
  2 in total

1.  Prediction and risk stratification from hospital discharge records based on Hierarchical sLDA.

Authors:  Guanglei Yu; Linlin Zhang; Ying Zhang; Jiaqi Zhou; Tao Zhang; Xuehua Bi
Journal:  BMC Med Inform Decis Mak       Date:  2022-01-15       Impact factor: 2.796

2.  Clinician Versus Nomogram Predicted Estimates of Kidney Stone Recurrence Risk.

Authors:  Connor M Forbes; Allison B McCoy; Ryan S Hsi
Journal:  J Endourol       Date:  2020-11-16       Impact factor: 2.619

  2 in total

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