Natural Language Processing to Identify Advance Care Planning Documentation in a Multisite Pragmatic Clinical Trial.

Journal: Journal of pain and symptom management
PMID:

Abstract

CONTEXT: Large multisite clinical trials studying decision-making when facing serious illness require an efficient method for abstraction of advance care planning (ACP) documentation from clinical text documents. However, the current gold standard method of manual chart review is time-consuming and unreliable.

Authors

  • Charlotta Lindvall
    Harvard Medical School, Boston, MA.
  • Chih-Ying Deng
    Department of Psychosocial Oncology and Palliative Care, Dana-Farber Cancer Institute (C.L., CY.D.,E.M., N.A., JR.L., JA.T.), Boston, Massachusetts.
  • Edward Moseley
    4 College of Science and Mathematics, University of Massachusetts Boston, Boston, MA, USA.
  • Nicole Agaronnik
    Health Policy Research Center-Mongan Institute, Massachusetts General Hospital, Boston.
  • Areej El-Jawahri
    Department of Medicine, Harvard Medical School, Boston, MA; Division of Hematology and Oncology, Massachusetts General Hospital, Boston, MA.
  • Michael K Paasche-Orlow
    Department of Medicine, Boston University School of Medicine, Boston Medical Center (MK.PO.), Boston, Massachusetts; ACP Decisions (MK.PO., A.V.), Boston, Massachusetts.
  • Joshua R Lakin
    Harvard Medical School, Boston, Massachusetts.
  • Angelo Volandes
    Harvard Medical School, Boston (C.L., N.A., A.EJ., JR.L., A.V., JA.T.), Massachusetts; Department of Medicine, Massachusetts General Hospital (A.EJ., A.V.), Boston, Massachusetts; ACP Decisions (MK.PO., A.V.), Boston, Massachusetts.
  • The Acp-Peace Investigators James A Tulsky
    Department of Psychosocial Oncology and Palliative Care, Dana-Farber Cancer Institute (C.L., CY.D.,E.M., N.A., JR.L., JA.T.), Boston, Massachusetts; Department of Medicine, Brigham and Women's Hospital (C.L., JR.L., JA.T.), Boston, Massachusetts; Harvard Medical School, Boston (C.L., N.A., A.EJ., JR.L., A.V., JA.T.), Massachusetts.