A Delphi Process to Identify Relevant Outcomes That May Be Associated With a Predictive Analytic Tool to Detect Hemodynamic Deterioration in the Intensive Care Unit

Holder, A. L., Khanna, A. K., Scott, M. J., Rossetti, S. C., Rinehart, J. B., Linn, D. D., Weichert, J., & Dellinger, R. P. (2023). A Delphi Process to Identify Relevant Outcomes That May Be Associated With a Predictive Analytic Tool to Detect Hemodynamic Deterioration in the Intensive Care Unit. Cureus. https://doi.org/10.7759/cureus.50169
Authors:
Andre Holder
Ashish K. Khanna
Michael J. Scott
Sarah Collins Rossetti
Joseph Rinehart
Dustin D. Linn
Jochen Weichert
R.P. Dellinger
Affiliated Authors:
Andre Holder
Ashish K. Khanna
Michael J. Scott
Sarah Collins Rossetti
Joseph Rinehart
Dustin D. Linn
Jochen Weichert
R.P. Dellinger
Columbia Affiliation:
Subjects:
Optimization of Perioperative Fluid Therapy (OpenAlex Topic)
Epidemiology and Management of Sepsis and Septic Shock (OpenAlex Topic)
Perioperative Cardiac Risk Assessment and Management (OpenAlex Topic)
Author Keywords:
adult intensive care
artificial intelligence and machine learning
decision support system
delphi method
hemodynamic
elink
Publication Type:
Article
Unique ID:
10.7759/cureus.50169
PMID:
38186415
DOI:
10.7759/cureus.50169
Journal:
Cureus
Publication Date:
Data Source:
OpenAlex
Source Link:
View OpenAlex Record
View PubMed Record

Record Created: