Comparison of Natural Language Processing of Clinical Notes With a Validated Risk-Stratification Tool to Predict Severe Maternal Morbidity.

Journal: JAMA network open
Published Date: Oct 3, 2022

Abstract

IMPORTANCE: Risk-stratification tools are routinely used in obstetrics to assist care teams in assessing and communicating risk associated with delivery. Electronic health record data and machine learning methods may offer a novel opportunity to improve and automate risk assessment.

Authors

  • Mark A Clapp
    Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA. mark.clapp@mgh.harvard.edu.
  • Ellen Kim
    Department of Radiation Oncology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • Kaitlyn E James
    Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA.
  • Roy H Perlis
    Center for Quantitative Health, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
  • Anjali J Kaimal
    Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA.
  • Thomas H McCoy
    Center for Quantitative Health, Department of Psychiatry and Department of Medicine, Massachusetts General Hospital, Boston, MA. Electronic address: thmccoy@partners.org.
  • Sarah Rae Easter
    Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, Massachusetts.

Keywords

External Resources

Popular Topics
Recent Journals