
The document highlights the challenges of managing decades of disorganized data and offers solutions to reclaim capacity, improve workflows, and generate revenue by standardizing medical image data.
ENDEX is a data standardization module within the Ensight framework. It uses computer vision and natural language processing to ensure consistency, completeness, correctness, and reliability of pixel and metadata. ENDEX standardizes study and series descriptions based on imaging parameters.
Enlitic empowers healthcare systems to enhance medical imaging data quality using AI. Their intelligent data framework supports critical workflows, orchestrates data, and improves comprehension of archived information, unlocking new revenue opportunities, generating cost savings, and enhancing healthcare delivery.
For more information or to book a demo, visit www.enlitic.com.
IMPROVE YOUR MEDICAL IMAGING DATA QUALITY We understand the pain of trying to make sense of decades of messy data. Reclaim capacity, improve workflows and generate new sources of revenue by standardizing your medical image data. WHAT IS ENDEX™? ENDEX is the data standardization module integrated into the Ensight framework. Using computer vision and natural language processing, ENDEX reviews the pixel and metadata for consistency, completeness, correctness and reliability. ENDEX creates a standardized ontology for studies and series based on their imaging parameters and relabels these descriptions. Inconsistent study/series descriptions Consistent, standardized description FEATURES AND BENEFITS Dashboards enable users to quickly and easily configure storage, DICOM connections and audit trails Analytics tools allow for visualization and application monitoring Security features include LDAP integration, Keycloak user configuration and encryption of data at rest Customizable outputs enable connectivity to applications that leverage DICOM SR, HL7/FHIR, Web API and DICOM Configuration templates allow facilities to dictate how outputs will integrate with various
Open the catalog to page 1Data Standardization Impacts the Quality of Data Utilized in These Use Cases: Make Your Data Work For You Reporting Workflow Efficiencies Data Sharing Ensures acquisition parameters are accurate, complete and consistent. Enables hanging protocols and dictation templates to load correctly reducing manual intervention. Enhances the data and labels the studies consistently for better search results and cohort creation. Improved Data & AI Orchestration Referring Physician Comprehension Routes data to the correct destinations and ensures secondary workflows such as data processing are efficient. Labels...
Open the catalog to page 22 Pages
2 Pages