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DOI 10.1016/j.acap.2020.02.009

Медицинская библиотека · Academic pediatrics · 2020

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

Petersen John D, Lozovatsky Margaret, Markovic Daniela, Duncan Ray, Zheng Simon, Shamsian Arash, Kagele Sonya, Ross Mindy K

Сравнительное исследованиеСтатьяПоддержка NIH: внешняя программаПеревод в очереди

Аннотация

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.

Для цитирования: Petersen John D, Lozovatsky Margaret, Markovic Daniela, Duncan Ray, Zheng Simon, Shamsian Arash, Kagele Sonya, Ross Mindy K. Clinical Decision Support for Hyperbilirubinemia Risk Assessment in the Electronic Health Record.. Academic pediatrics. 2020. DOI: 10.1016/j.acap.2020.02.009.

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