Reimagined Healthcare Requires Reimagined Intelligence.
We believe that data intelligence can completely transform healthcare. Enlitic has been a pioneer in developing the next generation of intelligence tools since 2014. We are a healthcare IT company that uses Artificial Intelligence (AI) for healthcare applications to standardize data and create major efficiencies throughout the clinical workflow.
Our goal is to unleash the potential of radiologists and PACS administrators to elevate patient care. While a handful of companies are focused on data analyses, point solutions, and integration those factors are meaningless if your system cannot tap into the insights that data holds. That is what makes Enlitic unique.
Enlitic Curie™ is the company’s foundational platform that uses AI to unlock the true value of your data in real time. Curie is the magic behind every other Enlitic product. Each Curie application was developed to address some of the most frustrating challenges facing healthcare operations. For example, Curie|ENDEX, our first software application powered by the Curie platform, improves nearly every aspect of workflow for radiologists, making your medical imaging data more consistent, more reliable, and more useful…more intelligent. ENDEX conforms health system data to consistent clinical standards, enables relevant linkage across different care systems, uses AI to create meaningful hanging protocol displays, improves image routing and orchestration, and automatically standardizes DICOM descriptions before transmission to PACS, increasing efficiency throughout the workflow.
Future applications will go even further to solve some of the most enduring issues within radiology best practices.
Data is just content with no context. Our customers generate petabytes of data every year. Data sits at the center of capacity, efficiency, and operational challenges. Information is data with context. Information on its own provides no solution to the challenges CEOs face. Intelligence is insight into that information such that one can make informed decisions. Having insights into the data and information enables healthcare executives to solve today’s high impact challenges.
To achieve interoperability and create a real-world evidence database that is relevant, data must first be standardized. With the current state of medical data, data is captured from multiple sources and the results are often clinically irrelevant or undescriptive. The anonymizing of healthcare data often results in information being removed or blocked, leaving the studies useless for queries. To build a truly robust real-world evidence database, organizations must have access to many other data sources that currently are not available in one place.