Identification of Patients With Congestive Heart Failure From the Electronic Health Records of Two Hospitals: Retrospective Study.

Journal: JMIR medical informatics
PMID:

Abstract

BACKGROUND: Congestive heart failure (CHF) is a common cause of hospital admissions. Medical records contain valuable information about CHF, but manual chart review is time-consuming. Claims databases (using International Classification of Diseases [ICD] codes) provide a scalable alternative but are less accurate. Automated analysis of medical records through natural language processing (NLP) enables more efficient adjudication but has not yet been validated across multiple sites.

Authors

  • Daniel Sumsion
    Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, United States.
  • Elijah Davis
    Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, United States.
  • Marta Fernandes
    IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Portugal. Electronic address: marta.fernandes@tecnico.ulisboa.pt.
  • Ruoqi Wei
    Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, United States.
  • Rebecca Milde
    Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, United States.
  • Jet Malou Veltink
    Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, United States.
  • Wan-Yee Kong
    Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, United States.
  • Yiwen Xiong
    Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, United States.
  • Samvrit Rao
    Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, United States.
  • Tara Westover
    Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, United States.
  • Lydia Petersen
    Department of Bioengineering, Clemson University, 301 Rhodes Research Center, Clemson, 29634, SC, USA.
  • Niels Turley
    Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, United States.
  • Arjun Singh
    School of Computing and IT, Manipal University Jaipur, Jaipur, Rajasthan, India.
  • Stephanie Buss
    Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, United States.
  • Shibani Mukerji
    Department of Neurology, Massachusetts General Hospital, Boston, MA, United States.
  • Sahar Zafar
    Department of Neurology, Massachusetts General Hospital, Boston, MA, United States.
  • Sudeshna Das
    Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Valdery Moura Junior
    Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, United States.
  • Manohar Ghanta
    Department of Neurology, Massachusetts General Hospital, Boston, MA.
  • Aditya Gupta
    Department of E & TC Engineering, College of Engineering, Pune, India.
  • Jennifer Kim
    Yale School of Medicine, New Haven, CT, United States.
  • Katie Stone
    California Pacific Medical Center Research Institute, San Francisco, CA, United States.
  • Emmanuel Mignot
    Center for Sleep Sciences and Medicine, Stanford School of Medicine, Palo Alto, CA, USA.
  • Dennis Hwang
    Southern California Permanente Medical Group, Los Angeles, California.
  • Lynn Marie Trotti
    Emory University, Atlanta, GA, United States.
  • Gari D Clifford
    Department of Biomedical Informatics, Emory University, Atlanta, GA, United States.
  • Umakanth Katwa
    Boston Children's Hospital, Boston, MA, United States.
  • Robert Thomas
    Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, United States.
  • M Brandon Westover
    Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
  • Haoqi Sun
    Neurology Department, Massachusetts General Hospital, Wang 720, Boston, MA, USA.