Utilizing natural language processing to identify pediatric patients experiencing status epilepticus.

Journal: Seizure
PMID: 39799705

Abstract

PURPOSE: Compare the identification of patients with established status epilepticus (ESE) and refractory status epilepticus (RSE) in electronic health records (EHR) using human review versus natural language processing (NLP) assisted review.

Authors

  • Molly Ann Puckett
    Division of Epilepsy and Clinical Neurophysiology, Boston Children's Hospital, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, USA. Electronic address: Mollyann.puckett@childrens.harvard.edu.
  • Fatemeh Mohammad Alizadeh Chafjiri
    Department of Neurology, Division of Epilepsy and Clinical Neurophysiology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Jennifer V Gettings
    Division of Epilepsy and Clinical Neurophysiology, Boston Children's Hospital, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, USA.
  • Assaf Landschaft
  • Tobias Loddenkemper
    Department of Neurology, Boston Children's Hospital, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, USA.

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