TY - JOUR
T1 - Clinical Decision Support for Hyperbilirubinemia Risk Assessment in the Electronic Health Record
AU - Petersen, John D.
AU - Lozovatsky, Margaret
AU - Markovic, Daniela
AU - Duncan, Ray
AU - Zheng, Simon
AU - Shamsian, Arash
AU - Kagele, Sonya
AU - Ross, Mindy K.
N1 - Funding Information:
Thank you to the UCLA Information Technology services, UCLA Physician and Resident Informatics program leaders and colleagues, and Cedars-Sinai Medical Center Department of Enterprise Information Services for their help in the support and implementation of this project. Thank you to Kimberly Chen for formatting the build code to adapt the process to the UCLA electronic health record. Thank you to Christopher A. Longhurst for developing the online clinical decision support software through Bilitool.org. Funding statement: Dr. Ross received funding through NIH UL1 TR001881.
Funding Information:
Funding statement: Dr. Ross received funding through NIH UL1 TR001881 .
Publisher Copyright:
© 2020 Academic Pediatric Association
PY - 2020/8
Y1 - 2020/8
N2 - 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.
AB - 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.
KW - clinical decision support
KW - electronic health record
KW - neonatal hyperbilirubinemia
UR - http://www.scopus.com/inward/record.url?scp=85082796301&partnerID=8YFLogxK
U2 - 10.1016/j.acap.2020.02.009
DO - 10.1016/j.acap.2020.02.009
M3 - Article
C2 - 32058105
AN - SCOPUS:85082796301
VL - 20
SP - 857
EP - 862
JO - Academic Pediatrics
JF - Academic Pediatrics
SN - 1876-2859
IS - 6
ER -