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A methodology for designing robust social network implementation intervention through normalization of patient variability in clinician disease state recognition tasks that addresses the limitations of opinion leader targeting

Keyword:

data science, clinical medicine, network science, implementation science, and acute respiratory distress syndrome

Creator:

Curtis H Weiss, Luis A Nunes Amaral, and Meagan A Bechel

Owner:

Meagan Bechel

Date Uploaded:

10/05/2020

Date Modified:

10/05/2020
Data-Driven Methods for the Characterization of the Implementation of Evidence-Based Medical Practices

Description:

The goal of the work reported here was to answer two important questions with regards to LTVV use for patients with ARDS: 1) How do we measure adoption? and 2) What are the drivers of provider adoption? To this end, I have demonstrated the influence of patient height, hypoxemia severity,...

Keyword:

data science, low tidal volume ventilation, network science, implementation science, and acute respiratory distress syndrome

Subject:

Biomedical engineering and Medicine

Creator:

Bechel, Meagan

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

04/29/2020

Date Created:

2020-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:14975 and etdadmin_upload_716010