Feasibility of automatic extraction of electronic health data to evaluate a status epilepticus clinical protocol Academic Article uri icon

Overview

MeSH Major

  • Automatic Data Processing
  • Clinical Protocols
  • Electronic Health Records
  • Status Epilepticus

abstract

  • Status epilepticus is a common neurologic emergency in children. Pediatric medical centers often develop protocols to standardize care. Widespread adoption of electronic health records by hospitals affords the opportunity for clinicians to rapidly, and electronically evaluate protocol adherence. We reviewed the clinical data of a small sample of 7 children with status epilepticus, in order to (1) qualitatively determine the feasibility of automated data extraction and (2) demonstrate a timeline-style visualization of each patient's first 24 hours of care. Qualitatively, our observations indicate that most clinical data are well labeled in structured fields within the electronic health record, though some important information, particularly electroencephalography (EEG) data, may require manual abstraction. We conclude that a visualization that clarifies a patient's clinical course can be automatically created using the patient's electronic clinical data, supplemented with some manually abstracted data. Future work could use this timeline to evaluate adherence to status epilepticus clinical protocols.

publication date

  • January 2015

Research

keywords

  • Academic Article

Identity

Language

  • eng

Digital Object Identifier (DOI)

  • 10.1177/0883073815613564

PubMed ID

  • 26518205

Additional Document Info

start page

  • 709

end page

  • 16

volume

  • 31

number

  • 6