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mHOMR: the acceptability of an automated mortality prediction model for timely identification of patients for palliative care

Authors

  • Stephanie Saunders Department of Rehabilitation Sciences, McMaster University, Hamilton, Ontario, Canada PubMed articlesGoogle scholar articles
  • James Downar Division of Palliative Care, The Ottawa Hospital, Ottawa, Ontario, Canada Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada Bruyère Research Institute, Ottawa, Ontario, Canada Ottawa Hospital Research Institute, Ottawa, Ontario, Canada PubMed articlesGoogle scholar articles
  • Saranjah Subramaniam Humber River Hospital, Toronto, Ontario, Canada PubMed articlesGoogle scholar articles
  • Gaya Embuldeniya Toronto General Research Institute, University Health Network, Toronto, Ontario, Canada Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada PubMed articlesGoogle scholar articles
  • Carl van Walraven Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada Ottawa Hospital Research Institute, Ottawa, Ontario, Canada Department of Epidemiology & Community Medicine, University of Ottawa, Ottawa, Ontario, Canada PubMed articlesGoogle scholar articles
  • Pete Wegier Humber River Hospital, Toronto, Ontario, Canada Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada Department of Family & Community Medicine, University of Toronto, Toronto, Ontario, Canada PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Pete Wegier, Humber River Hospital, Toronto, ON M3M 0B2, Canada; pwegier{at}hrh.ca
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Citation

Saunders S, Downar J, Subramaniam S, et al
mHOMR: the acceptability of an automated mortality prediction model for timely identification of patients for palliative care

Publication history

  • Received September 30, 2020
  • Revised February 8, 2021
  • Accepted February 16, 2021
  • First published February 25, 2021.
Online issue publication 
September 17, 2021

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