Flywheel Case Studies Health System Informatics Leader Uses Flywheel to Create AI-Ready Data Sets

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	Health System Informatics Leader Uses Flywheel to Create AI-Ready Data Sets Flywheel

Health System Informatics Leader Uses Flywheel to Create AI-Ready Data Sets

Flywheel

Technology Category	Analytics & Modeling - Machine Learning Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries	Healthcare & Hospitals
Applicable Functions	Product Research & Development
Use Cases	Computer Vision Predictive Maintenance
Services	Data Science Services
Challenge	The University of Texas Medical Branch (UTMB) was facing challenges in realizing greater value from its imaging assets and collaborating more efficiently within and outside the system. The COVID-19 pandemic further amplified the need for efficient and remote collaboration on imaging research. UTMB wanted to leverage its imaging assets more fully as its radiology archive grew and it went live with digital pathology. The hospital aimed to create data sets and make them available for AI researchers. However, without a clear way to organize the process, this posed a significant challenge. Read More
About Customer	The University of Texas Medical Branch (UTMB) is an academic health science center located in Galveston, Texas. Founded in 1891 as the country’s first unified public medical school and hospital, UTMB has a long history of being forward-thinking, and its faculty and staff share that mission. Peter McCaffrey, MD, serves as Director of Pathology Informatics, Director of the newlyfounded Division of Bioinformatics and Artificial Intelligence, and Director of Laboratory Information Services as well as Assistant Professor of Pathology. His role began in 2018 with a focus on pathology, but soon expanded to include the informatics effort in both the pathology and radiology departments, helping shape UTMB’s approach to bioinformatics and artificial intelligence. Read More
Solution	UTMB adopted Flywheel, a platform that supports annotation and image analysis, to address its strategic challenges. Flywheel enabled UTMB to create AI-ready data sets in both pathology and radiology. The platform allowed UTMB to coordinate efforts around fetching, looking at, and annotating images, adding structured metadata to images and increasing their value and utility. Flywheel provided a structure around the activity of curation, which was a significant part of UTMB's AI group's work. The platform also streamlined grant applications by simplifying the processes of creating registries and working with collaborators. Flywheel's deidentification feature made it easy to share data in a compliant way with UTMB's collaborators. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Platform as a Service (PaaS) - Data Management Platforms

Applicable Industries

Healthcare & Hospitals

Applicable Functions

Product Research & Development

Use Cases

Computer Vision

Predictive Maintenance

Services

Data Science Services

Challenge

The University of Texas Medical Branch (UTMB) was facing challenges in realizing greater value from its imaging assets and collaborating more efficiently within and outside the system. The COVID-19 pandemic further amplified the need for efficient and remote collaboration on imaging research. UTMB wanted to leverage its imaging assets more fully as its radiology archive grew and it went live with digital pathology. The hospital aimed to create data sets and make them available for AI researchers. However, without a clear way to organize the process, this posed a significant challenge.

About Customer

The University of Texas Medical Branch (UTMB) is an academic health science center located in Galveston, Texas. Founded in 1891 as the country’s first unified public medical school and hospital, UTMB has a long history of being forward-thinking, and its faculty and staff share that mission. Peter McCaffrey, MD, serves as Director of Pathology Informatics, Director of the newlyfounded Division of Bioinformatics and Artificial Intelligence, and Director of Laboratory Information Services as well as Assistant Professor of Pathology. His role began in 2018 with a focus on pathology, but soon expanded to include the informatics effort in both the pathology and radiology departments, helping shape UTMB’s approach to bioinformatics and artificial intelligence.

Solution

UTMB adopted Flywheel, a platform that supports annotation and image analysis, to address its strategic challenges. Flywheel enabled UTMB to create AI-ready data sets in both pathology and radiology. The platform allowed UTMB to coordinate efforts around fetching, looking at, and annotating images, adding structured metadata to images and increasing their value and utility. Flywheel provided a structure around the activity of curation, which was a significant part of UTMB's AI group's work. The platform also streamlined grant applications by simplifying the processes of creating registries and working with collaborators. Flywheel's deidentification feature made it easy to share data in a compliant way with UTMB's collaborators.

Impact #1	Flywheel provided a structure for the activity of curation, which was a significant part of UTMB's AI group's work.
Impact #2	The platform streamlined grant applications by simplifying the processes of creating registries and working with collaborators.
Impact #3	Flywheel's deidentification feature made it easy to share data in a compliant way with UTMB's collaborators.

Impact #1

Flywheel provided a structure for the activity of curation, which was a significant part of UTMB's AI group's work.

Impact #2

The platform streamlined grant applications by simplifying the processes of creating registries and working with collaborators.

Impact #3

Flywheel's deidentification feature made it easy to share data in a compliant way with UTMB's collaborators.

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Overview

Health System Informatics Leader Uses Flywheel to Create AI-Ready Data Sets

Operational Impact