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Standardizing Data First

Transform imaging data to a consistent, clinically relevant standard nomenclature

The Problem

In today’s medical imaging department, countless hours are wasted dealing with problems that affect hanging protocols, image routing, and AI orchestration. At the core of our healthcare interoperability challenges is non-standardized clinical data.

The ENDEX application uses AI for medical imaging to transform imaging data to a consistent, clinically relevant standard nomenclature and enables relevant clinical content linkage across different IT systems.

 

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Squiggles

How Endex Uses AI for Medical Imaging

Endex maps heterogenous DICOM headers to a defined universal ontology

Studies and series now appear with normalized descriptions enabling effective hanging protocols

Relevant, uniform descriptions facilitate faster reporting time, easily queried studies, and less frustration from radiologists

Manual intervention is reduced by 16 seconds on average per study

PACS Administrators and technologists reclaim time from mundane tasks

ON PREMISE DEPLOYMENT

Onsite vendor-agnostic integration that improves overall satisfaction with your existing PACS system.

4x REDUCED MOUSE MILEAGE

Improve your existing dataset to make it possible for your Radiologist to report their study faster with fewer added steps.

2-5x RETURN ON INVESTMENT

We create time for radiologists! Studies show we improve reading time by 21% while improving radiologist specificity.

Process Efficiency

In an average medical imaging department, countless hours are wasted dealing with problems affecting hanging protocols, image routing, and AI orchestration. At the core of Endex's healthcare interoperability solutions is the standardization of clinical data. Our processes reduce manual intervention time by 15-90 seconds per study, allowing administrative staff to reclaim time wasted on mundane tasks.

Data Accuracy

Endex exists to remedy series that are technically identical but labelled differently, creating display
and processing issues. Our technology ensures descriptions are clinically relevant, making study comparisons possible between different facilities,
even in light of missing, incomplete, or irrelevant data.

Medical Imaging Solutions

Endex maps heterogenous DICOM headers to a defined universal ontology, allowing studies
and series to appear with normalized descriptions, enabling hanging protocols to work. These relevant, uniform descriptions facilitate faster reporting time, easily queried studies, and less frustration from radiologists.

Precise Routing

Endex ensures patient studies are labeled and routed correctly to work lists and workstations.

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Do You Experience the Following Challenges?

Studies and series are technically identical but labeled differently creating display and processing issues

Series descriptions lack clinical relevance

Different facilities label studies differently making comparisons impossible

Data is missing for a variety of reasons, including anonymization for research purposes

Medical imaging data is excluded from analysis due to incomplete or irrelevant data labels

Patient studies are routed incorrectly to work lists or workstations because of mislabeling

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