GrowthViz

GrowthViz

Module 1 Introduction
Unit 1
CODI Introduction 
Module 2 Getting Started
Unit 1
How to Use this Toolbox 
Module 3 Audiences/Roles
Unit 1
Researchers 
Unit 2
Network partners 
Unit 3
Legal 
Unit 4
Implementers 
Unit 5
Participants 
Module 4 People & Processes
Unit 1
CODI Approach 
Unit 2
CODI Roles & Scope 
Unit 3
Clinical and Community Linkages Assessment 
Unit 4
Governance Model 
Module 5 Standards
Unit 1
Data Models 
Unit 2
FHIR Implementation Guides 
Module 6 Tools
Unit 1
Growthcleanr 
Unit 2
GrowthViz 
Unit 3
CODI Prevalence Queries 
Unit 4
Privacy Preserving Record Linkage 
Unit 5
CODI Use Cases 
Module 7 Implementations
Unit 1
CODI Implementations 
Module 8 Resources
Unit 1
CODI References 
Unit 2
CODI Resources 
Module 9 Appendices
Unit 1
Appendix A: CODI Downloads 

Who should use GrowthViz?

Anyone who wants to review and visualize height and weight data from electronic health records (EHRs) that have been cleaned with growthcleanr should use GrowthViz.

These roles use GrowthViz:

Researchers and public health organizations that want to use individual tools, processes and standards to leverage the CODI architecture to request data
View Researchers Path
Current and future CODI implementers including network partners
View Network Partners Path
Clinical care providers or community organizations seeking a deeper understanding of the health and data landscape in their region
View Implementers Path

What is GrowthViz? 

GrowthViz is an open-source tool that allows post-processing and data visualization of growthcleanr outputs.8

Why use GrowthViz?

GrowthViz can save researchers time by making it easy to review growthcleanr results, to visualize measurements for individuals and groups, measurement and exclusion type, and to perform post-processing steps based on growthcleanr assessments.

How to use Growthviz

Details on how to get started and advanced topics can be found on the GrowthViz GitHub page.
 

Growthviz Code

GrowthViz is a Jupyter notebook, a web-based interactive computing platform that combines code and visualizations to explore the data resulting from growthcleanr. It includes Python for initial functions and uses NumPy and pandas for data analysis. The visualization in the tool is from Matplotlib and seaborn.

 

User videos

View a demonstration with a subject matter expert (SME) on how to use GrowthViz. The video should automatically start at the GrowthViz section around 8:44.