Automated identification of wound information in clinical notes of patients with heart diseases: Developing and validating a natural language processing application.

Journal: International journal of nursing studies
Published Date:

Abstract

BACKGROUND: Electronic health records are being increasingly used by nurses with up to 80% of the health data recorded as free text. However, only a few studies have developed nursing-relevant tools that help busy clinicians to identify information they need at the point of care.

Authors

  • Maxim Topaz
    Division of General Internal Medicine and Primary Care, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Kenneth Lai
    Brigham and Women's Hospital, Boston, MA, USA.
  • Dawn Dowding
    Visiting Nurse Service of New York, NY, USA; School of Nursing, Columbia University, NY, USA.
  • Victor J Lei
    Clinical Informatics, Partners eCare, Partners Healthcare Inc. Boston, MA, USA.
  • Anna Zisberg
    The Cheryl Spencer Department of Nursing, Haifa University, Israel.
  • Kathryn H Bowles
    Visiting Nurse Service of New York, NY, USA; School of Nursing, University of Pennsylvania, PA, USA.
  • Li Zhou
    School of Education, China West Normal University, Nanchong, Sichuan, China.