Enlitic - AI-Powered Healthcare Data Standardization Solution
Enlitic provides AI-powered healthcare data solutions, focusing on data standardization and management for medical imaging. The platform consolidates and standardizes various series descriptions, ensuring that relevant medical data is correctly categorized and routed. This improves workflow efficiency for PACS administrators, radiologists, and billing and coding departments. Enlitic's solutions help prevent the exposure of Protected Health Information (PHI) and ensure accurate data processing, which is critical for diagnostic and billing processes. By standardizing medical image data, Enlitic's AI-powered tools reduce IT workload and improve overall healthcare outcomes by ensuring that images and their metadata are used optimally within the healthcare system.
Healthcare Data Solutions
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. But even then, subtle changes in modality settings, quality control updates or technologist changes can impact the outputs.
Healthcare Data Management Solutions
You can realize real value from your medical imaging archives. But before you do, you need to be confident that there is no Protected Health Information (PHI) exposed. Using Enlitic’s AI-powered solution we can:
- Anonymize and protect PHI in medical images
- Ensure PHI is removed from pixel and DICOM metadata
- Retain clinically relevant information
- Audit all activities regarding anonymization
- Enable validation of the anonymized data to ensure confidence
How Enlitic Benefits Your IT Department
Standardizing your medical image data impacts the entire organization and reduces workloads on your IT staff:
- PACS Administrators will reduce the time they spend fixing hanging protocols for radiologists
- Data will route to post-processing workstations, teleradiology providers and radiologist worklists more accurately
- Network capacity will be reduced as only relevant studies and series need be routed
- Data quality will improve as standardization addresses correctness, completeness and consistency thus simplifying registry submissions, research activities and data sharing
- Anonymization tools will remove PHI from any DICOM field and pixel data automatically while retaining clinically relevant data
Data Standardization in Healthcare
When mapping series descriptions, there may be numerous ways to name a study or series. ENDEX analyzes the medical image and its metadata to consolidate all of these different descriptions into a clinically relevant, useful description. Before implementation of ENDEX, we found that 47% of medical images have no relevant information associated with them. This problem impacts everyone from the PACS admin, the radiologists to the Billing and Coding department.
Healthcare data standardization can ensure that the relevant studies are routed to the correct worklist, AI point solution algorithm, or other software. By using the clinically relevant study and series descriptions generated by ENDEX, the correct series can be routed to the AI algorithm necessary to help diagnose the issue.
The same data standardization can also ensure that the original study and AI results arrive at the appropriate radiologist worklist eliminating the interruptions of needing to reroute the data to the correct worklist. Too many series are poorly labeled that it is difficult to determine what body part it is, making data routing near impossible without intervention.