Life Image and Graticule Launch GLIMPS in the New AWS Data Exchange
GLIMPS (Graticule Life Image Parsed Set) is a de-identified patient level data set including a summary of features generated from NLP processing on Life Image data
November 18, 2019 (Newton, Mass.) — Life Image, one of the world’s largest medical evidence networks for clinical and imaging data, and its strategic partner, Graticule, an advanced real world data firm, announced the availability of GLIMPS (Graticule Life Image Machine Parsed Set) data licensing subscriptions in AWS Data Exchange, a new service that makes it easy for millions of Amazon Web Services (AWS) customers to securely find, subscribe to, and use third-party data in the cloud.
“What gets many of our customers excited about AWS Data Exchange is the number of innovative organizations offering novel and unique data on the service,” said Stephen Orban, General Manager, AWS Data Exchange, Amazon Web Services, Inc. “We are delighted to welcome Life Image and Graticule to the AWS Data Exchange to help the medical community improve patient care.”
Graticule has published GLIMPS in the AWS Data Exchange. GLIMPS is a de-identified patient level data set including a summary of features generated from NLP processing from Life Image data, which has been de-identified using industry-leading tools with Life Image’s own expert determination service that uses a combination of human validators with a proprietary machine learning algorithm specifically designed to catch personal health information (PHI) that can be hiding within the image pixels or meta tags. The HIPAA-compliant repository of diagnostic images provides insights from a broad set of geographically-diverse providers in the U.S. that contain a rapidly growing cohort of 140,000 patients, 360,000 studies, and 92 million de-identified images. Because much of the important data in imaging is stored in unstructured reports or within images, it is difficult to construct queries to identify studies with features of interest to solve researcher questions. GLIMPS provides a safe, structured view of the patient-level medical information by providing coded values using open vocabularies such as ICD9 or SNOMED to execute feasibility analysis.
“Diagnostic images and radiology reports contain interpretations and other information that provide rich diagnostic and outcomes data but have historically been extremely difficult to access and aggregate at scale,” said Dan Housman, CTO and Co-founder of Graticule. “AWS Data Exchange provides a sea change opportunity that allows us to distribute our data to provide a transparent view of available images and tools to deliver deeper data insights on demand.”
The goal of GLIMPS is to provide a cost-effective patient level snapshot to biopharma data science teams to fuel the necessary discussions about these data, leading to sourcing broad curated sets or building artificial intelligence (AI) models to answer high value questions. The GLIMPS data model includes key fields from DICOM headers and a machine parsed mapping created using multiple medical Natural Language Processing (NLP) tools. Custom extraction approaches provide an additional deeper layer of clinical context using measurable values such as Ejection Fraction within echocardiograms. The data model was built to be compatible with the OHDSI (Observational Health Data Sciences and Informatics) Common Data Model to rapidly integrate into Real World Data tools used by Life Sciences companies and regulators.
Uses for the data include:
- Longitudinal data to identify markers of disease prior to diagnosis and progression during treatment
- Supply machine learning teams with ‘control’ data from Life Image vs. ‘study’ data from a clinical trial or internal data source
- Research into identification of novel imaging biomarkers for a rare or newly identified disease subtype
- Validate AI models on real world data that have been built on small or narrow data sets
- Support RWE teams with a novel source of data to support new approaches or techniques
“As one of the largest evidence-based networks focused on multivariable medical data, Life Image has been solving for those technical challenges which is why we are able offer Real World Imaging (RWI),” said Matthew A. Michela, President and CEO of Life Image. “Launching GLIMPS in AWS Data Exchange will allow biopharma and AI companies to accelerate development, post-market safety, effectiveness, validation, and label expansion.”
Graticule provides data subscriptions and on-demand data collaborations to pharma clients to unlock the value in advanced real world data such as imaging, genomics, and free text notes. Graticule provides extensions to technologies with mature adoption within health systems to eliminate IT overhead and to accelerate the data collaboration process. Graticule is focused on curating data resources and applications for Neurology, Cardiology, Oncology and Rare Diseases. Uses of Graticule data by life sciences clients include machine learning model development, biomarker development, clinical trial recruitment, and identification of undiagnosed patients. For more information, visit Graticule at www.graticule.life.
About Life Image
Life Image is the world’s largest medical evidence network providing access to points of care and curated clinical and imaging data. It is the only company in the market today with Real World Imaging™ that provides large-scale, heterogeneous, de-identified imaging sets that are linkable to other longitudinal data. Founded in 2008, Life Image has created a digital platform using industry-leading interoperability standards to connect 10,000 facilities with more than 150,000 U.S. providers and 58,000 global clinics. Its network of hospitals, physicians, patients, life sciences, medical devices and telehealth is interconnected with a technical ecosystem of EHRs, PACS, AI solutions, cloud environments and analytics platforms.
About Amazon Web Services
For 13 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 165 fully featured services for compute, storage, databases, networking, analytics, robotics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 69 Availability Zones (AZs) within 22 geographic regions, spanning the U.S., Australia, Brazil, Canada, China, France, Germany, Hong Kong Special Administrative Region, India, Ireland, Japan, Korea, Middle East, Singapore, Sweden, and the UK. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. To learn more about AWS, visit aws.amazon.com.
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