Natural Language Processing of Clinical Documentation to Assess Functional Status in Patients With Heart Failure.

Journal: JAMA network open
PMID: 39509128

Abstract

IMPORTANCE: Serial functional status assessments are critical to heart failure (HF) management but are often described narratively in documentation, limiting their use in quality improvement or patient selection for clinical trials.

Authors

  • Philip Adejumo
    Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
  • Phyllis M Thangaraj
    Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, 330 Cedar Street, Boardman 110, New Haven, CT 06520, USA.
  • Lovedeep Singh Dhingra
    Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
  • Arya Aminorroaya
    Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
  • Xinyu Zhou
    School of Economics and Management, Harbin Engineering University, Harbin, 150001, Heilongjiang, People's Republic of China. zhouxinyu0824@foxmail.com.
  • Cynthia Brandt
    Yale Center for Medical Informatics, Yale University.
  • Hua Xu
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Harlan M Krumholz
    Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
  • Rohan Khera
    Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.

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