Machine Learning for Targeted Advance Care Planning in Cancer Patients: A Quality Improvement Study.

Journal: Journal of pain and symptom management
PMID:

Abstract

CONTEXT: Prognostication challenges contribute to delays in advance care planning (ACP) for patients with cancer near the end of life (EOL).

Authors

  • Mihir N Patel
    Duke University School of Medicine, Durham, North Carolina.
  • Alexandria Mara
    Atrium Health Levine Cancer Institute, Concord, North Carolina.
  • Yvonne Acker
    Duke University Health System.
  • Jamie Gollon
    Business Transformation, Duke University Health System, Durham, North Carolina.
  • Noppon Setji
    Department of Medicine Duke University School of Medicine.
  • Jonathan Walter
    Department of Medicine Duke University School of Medicine.
  • Steven Wolf
    Department of Neurology, Mount Sinai Health System, New York, New York.
  • S Yousuf Zafar
    Department of Medicine, Duke University Medical Center, Durham, North Carolina.
  • Suresh Balu
    Duke Institute for Health Innovation.
  • Michael Gao
    Duke Institute for Health Innovation.
  • Mark Sendak
    Duke Institute for Health Innovation.
  • David Casarett
    Department of Medicine/Division of General Internal Medicine/Palliative Care, Duke University, Durham, North Carolina, USA.
  • Thomas W LeBlanc
    Department of Medicine, Duke University Medical Center, Durham, North Carolina.
  • Jessica Ma
    Department of Medicine Duke University School of Medicine.