title: Feasibility of Automatic Extraction of Electronic Health Data to Evaluate a Status Epilepticus Clinical Protocol.
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.
authors.affiliation: Department of Healthcare Policy & Research, Weill Cornell Medicine, New York, NY, USA bah2013@med.cornell.edu.
authors.forename: Baria
authors.initials: B
authors.lastname: Hafeez
authors.affiliation: Komansky Center for Children's Health, Weill Cornell Medicine, New York, NY, USA NewYork-Presbyterian Hospital, New York, NY, USA.
authors.forename: Juliann
authors.initials: J
authors.lastname: Paolicchi
authors.affiliation: Division of Pediatric Critical Care, Weill Cornell Medicine, New York, NY, USA Komansky Center for Children's Health, Weill Cornell Medicine, New York, NY, USA NewYork-Presbyterian Hospital, New York, NY, USA.
authors.forename: Steven
authors.initials: S
authors.lastname: Pon
authors.affiliation: Division of Pediatric Critical Care, Weill Cornell Medicine, New York, NY, USA Komansky Center for Children's Health, Weill Cornell Medicine, New York, NY, USA NewYork-Presbyterian Hospital, New York, NY, USA.
authors.forename: Joy D
authors.initials: JD
authors.lastname: Howell
authors.affiliation: Department of Healthcare Policy & Research, Weill Cornell Medicine, New York, NY, USA Division of Pediatric Critical Care, Weill Cornell Medicine, New York, NY, USA Komansky Center for Children's Health, Weill Cornell Medicine, New York, NY, USA NewYork-Presbyterian Hospital, New York, NY, USA.
authors.forename: Zachary M
authors.initials: ZM
authors.lastname: Grinspan
mesh_terms: D002648:Child; D002675:Child, Preschool; D002985:Clinical Protocols; D003072:Cognition Disorders / Q000209:etiology; D004569:Electroencephalography; D001330:Electronic Data Processing / Q000379:methods*; D057286:Electronic Health Records; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D007223:Infant; D008297:Male; D017063:Outcome Assessment, Health Care; D015203:Reproducibility of Results; D012189:Retrospective Studies; D013226:Status Epilepticus / Q000175:diagnosis* / Q000503:physiopathology / Q000628:therapy; D013997:Time Factors
keywords: data visualization; electronic health records; informatics; quality improvement; status epilepticus