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Automated Electronic Health Record Data Extraction and Curation Using ExtractEHR.

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  • 1Aflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta, Atlanta, GA.

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ExtractEHR software facilitates the creation of pediatric cancer electronic health record (EHR) datasets for research. This tool addresses challenges in pediatric oncology research by enabling multisite data extraction and cohort assembly.

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Area of Science:

  • Pediatric Oncology
  • Clinical Informatics
  • Biomedical Data Science

Background:

  • Electronic Health Record (EHR) data's potential for adult research is established, but its impact on pediatric oncology research is limited.
  • Challenges in pediatric oncology research include scarce pediatric cancer cases in commercial datasets and difficulties in identifying phenotypes within federated EHR data.

Purpose of the Study:

  • To introduce ExtractEHR, a software package designed to overcome limitations in utilizing EHR data for pediatric oncology research.
  • To enable the creation of multisite pediatric cancer EHR datasets for diverse research applications.

Main Methods:

  • ExtractEHR facilitates customized, automated data extraction from EHR systems across multiple institutions.
  • Companion software packages, CleanEHR and GradeEHR, are used for data cleaning and grading post-extraction.
  • The software was initially developed for adverse event reporting and has been expanded for cohort development.

Main Results:

  • ExtractEHR has been successfully implemented at four major pediatric institutions: Children's Healthcare of Atlanta, Children's Hospital of Philadelphia, Texas Children's Hospital, and Seattle Children's Hospital.
  • The software has supported various research use cases, including clinical epidemiology studies, multicenter clinical trials, and the assembly of cancer cohorts.

Conclusions:

  • ExtractEHR is a valuable tool for generating pediatric cancer EHR data sets to address critical research questions.
  • Ongoing development includes integration with Fast Healthcare Interoperability Resources (FHIR) and enhancements for scalability and sustainability.