Overcoming Data Incompatibilities in Healthcare Mergers: Best Practices for PACS and VNA Systems

In October 2024, Enlitic announced the acquisition of Laitek, marking a significant development in the field of healthcare data management. This strategic merger combines Enlitic’s advanced AI data standardization algorithms with Laitek’s proven expertise in data migration. The resulting synergy has led to the introduction of a pioneering AI-enabled data migration solution, setting a […]
The Invisible Edge: An Introduction to AI Enabled Data Migration

AI-enabled data migration for DICOM medical images refers to the use of artificial intelligence technologies to enhance and streamline the process of transferring medical imaging data from one system to another. This approach offers several key benefits and capabilities: Enhanced Migration Process Improved Efficiency: AI algorithms can significantly speed up the DICOM PACS migration […]
Watch: Enlitic CSO Steve Rankin Shares Insights on AI in Healthcare at RSNA 2024 Blackford Calantic Panel

Earlier this month at this year’s RSNA 2024 conference, Steve Rankin participated in a thought-provoking panel discussion on ‘How Simplifying Interoperability Is Key To Successfully Unlocking The Value Of AI Across The Healthcare Enterprise’ at the Blackford Calantic AI Theater. The panel, held on Tuesday, December 3rd, brought together industry experts to explore the […]
My Favorite Stories From RSNA

Dave Wilson, a seasoned healthcare professional with over two decades of experience, has a treasure trove of stories from his time at the Radiological Society of North America (RSNA) annual meetings. As the VP of Marketing & Communications at Enlitic, Dave brings a unique perspective to the world of radiology, having started his career as […]
Radiology Business Webinar – Data Standardization Beyond DICOM: Why Enterprise Imaging Needs It Now

Join industry leaders Cheryl Petersilge, Radiologist, and Matt Dewey, CIO, for an insightful webinar on the evolution of data standardization in medical imaging. As hospitals and imaging groups shift from viewing standardization as a technical necessity to a strategic imperative, this session will explore how an ontology-level approach can optimize patient studies and enhance overall […]
Data Standardization Beyond DICOM

Data standardization in medical imaging extends well beyond the technical aspects of DICOM and HL7 to the more strategic imperative of requiring an ontology-level approach to studies. The Strategic Imperative of Ontology-Level Standardization Radiologist Cheryl Petersilge and CIO Matt Dewey are at the forefront of this transformation, recognizing that true standardization requires a deeper, more […]
Data Migration Gets a Powerful Upgrade: Enlitic’s Acquisition of Laitek

The recent acquisition of Laitek by Enlitic marks a significant milestone in the world of medical imaging data management. This strategic move combines Laitek’s expertise in data migration with Enlitic’s advanced data standardization capabilities, setting a new benchmark for DICOM data migration. Let’s explore the far-reaching impact of this powerful combination. Raising the Bar on […]
Enlitic, Inc. Joins ‘Radiology Reimagined’ Demonstration at RSNA 2024

Collaborative effort highlights integration of AI into radiology workflow Enlitic is excited to announce our participation in the “Radiology Reimagined” demonstration at RSNA 2024, taking place from December 1-4 in Chicago. This collaborative event will showcase the integration of AI into radiology workflows, featuring 25 innovative products from various vendors. Attendees can […]
How Enlitic and Laitek Are Transforming Medical Imaging Data Management

Enlitic’s Chief Strategy Officer Steve Rankin was interviewed about the recent acquisition of Laitek by Enlitic. This exciting development in the medical imaging industry is set to revolutionize data management and migration services. Acquisition Overview Enlitic, a leader in healthcare data standardization, has completed its acquisition of Laitek, a renowned provider of medical imaging data […]