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Palliat Med. 2019 Feb;33(2):187-196. doi: 10.1177/0269216318810421. Epub 2018 Nov 14.

Deep learning algorithms to identify documentation of serious illness conversations during intensive care unit admissions.

Author information

1
1 Department of Psychosocial Oncology and Palliative Care, Dana-Farber Cancer Institute, Boston, MA, USA.
2
2 Harvard T. H. Chan School of Public Health, Boston, MA, USA.
3
3 Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.
4
4 College of Science and Mathematics, University of Massachusetts Boston, Boston, MA, USA.
5
5 Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
6
6 Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
7
7 Palliative Care, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
8
8 Division of Palliative Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.

KEYWORDS:

Quality indicators (healthcare); advance care planning; end-of-life care; intensive care units; machine learning

PMID:
30427267
DOI:
10.1177/0269216318810421
[Indexed for MEDLINE]

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