Value proposition

We manage healthcare data using AI to expand capacity and improve clinical workflows in radiology and enterprise wide.

At Enlitic, we believe that the power of artificial intelligence can transform healthcare by enabling effective data management and improving clinical workflows.

Our mission at Enlitic is to intelligently manage healthcare data using the power of artificial intelligence to expand capacity and improve clinical workflows and create a foundation for a real-world evidence medical image database for healthcare providers.

By standardizing DICOM studies and creating a consistent nomenclature, radiologist workflow is improved and the promises of PACS are finally realized. Enlitic is reclaiming radiologists’ time and improving data quality that has impacts on downstream workflows. Our solutions help radiologists be more efficient within the radiology workflows.

ENDEX, for data standardization, empowers researchers to overcome the complexities of medical imaging data and simplify data processing.

ENCOG addresses this issue by intelligently removing PHI while retaining crucial clinically relevant information. This unique approach offers several benefits to researchers.

Your PACS can only work with the data it receives. Too often the inputs are inconsistent, inaccurate or missing and this impacts the outputs. Even more often administrators are called upon to fix mundane data issues that could be easily resolved with some level of data governance.

PACS administrators will have more time to maintain the PACS and deploy new AI algorithms in minutes. Radiologists become more efficient as they no longer have broken hanging protocols and misrouted studies. The IT team will have less worry about network capacity. You and your team can create additional revenue streams while saving in radiology and technology departments.

Enlitic is focused on developing tools that solve the longstanding challenges in radiology.

Machine Learning, Deep Learning, Computer Vision, radiology, medical imaging, healthcare, healthcare technology, radiology AI, healthcare research, medical technology, radiology technology, data anonymization, medical image data, PACS software, AI, healthcare AI, data management, healthcare data management, interoperability, data governance, radiology innovation, healthcare innovation, medical research, radiology efficiency, reading protocols, PACS efficiency, healthcare IT, data management software, and clinical workflows