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Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study
199
Zitationen
27
Autoren
2019
Jahr
Abstract
Machine learning models are commonly developed to enhance clinical decision making, but successful integrations of machine learning into routine clinical care are rare. Although there is no playbook for integrating deep learning into clinical care, learnings from the Sepsis Watch integration can inform efforts to develop machine learning technologies at other health care delivery systems.
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Autoren
- Mark Sendak
- William Ratliff
- Dina Sarro
- Elizabeth Alderton
- Joseph Futoma
- Michael Gao
- Marshall Nichols
- Mike Revoir
- Faraz Yashar
- Corinne Miller
- Kelly Kester
- Sahil Sandhu
- Kristin Corey
- Nathan Brajer
- Christelle Tan
- Anthony Lin
- Tres Brown
- Susan Engelbosch
- Kevin J. Anstrom
- Madeleine Clare Elish
- Katherine Heller
- Rebecca Donohoe
- Jason Theiling
- Eric G. Poon
- Suresh Balu
- Armando Bedoya
- Cara O’Brien