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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
A quantitative approach for the analysis of clinician recognition of acute respiratory distress syndrome using electronic health record data - data repository

Description:

Importance: Despite its efficacy, low tidal volume ventilation (LTVV) remains severely underutilized for patients with acute respiratory distress syndrome (ARDS). Physician under-recognition of ARDS is a significant barrier to LTVV use. We propose a computational method that addresses some of the limitations of the current approaches to automated measurement of...

Keyword:

data science, low tidal volume ventilation, complex systems, critical care, lung protective ventilation, implementation science, acute lung injury, and acute respiratory distress syndrome

Creator:

Richard G. Wunderink, Sanjay Mehrotra, Luís A. Nunes Amaral, Adam R. Pah, Curtis H. Weiss, Shayna Weiner, Hanyu Shi, Stephen D. Persell, and Meagan A. Bechel

Owner:

Meagan Bechel

Date Uploaded:

08/15/2019

Date Modified:

08/19/2019

Date Created:

2019-08-15

Resource Type:

Dataset

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Data-Driven Methods for the Characterization of the Implementation of Evidence-Based Medical Practices

A quantitative approach for the analysis of clinician recognition of acute respiratory distress syndrome using electronic health record data - data repository

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