Enlitic and Sectra Unite to Streamline AI Adoption in Medical Imaging

LOVELAND, Colo. – April 29, 2026 – In a significant move to accelerate the adoption of artificial intelligence in radiology, AI software company Enlitic today announced the full integration of its Ensight platform with Sectra, one of the world's fastest-growing medical imaging technology providers. The partnership enables Sectra’s extensive customer base to directly access Enlitic’s powerful data standardization and management tools, addressing a fundamental challenge that has long hindered the progress of AI in clinical settings.

This collaboration connects Enlitic’s specialized Ensight platform, designed to clean, structure, and operationalize medical imaging data, with Sectra’s widely used enterprise imaging solutions. For hospitals and imaging centers, the integration promises a more direct path to improving workflows, ensuring data consistency, and unlocking the true potential of AI-driven diagnostics.

The Critical Need for Data Standardization

The promise of AI in radiology—from faster diagnoses to predictive analytics—hinges on one critical element: clean, consistent, and accessible data. However, the reality in most healthcare systems is a chaotic digital environment. Medical images like MRIs, CT scans, and X-rays are often stored with inconsistent labeling, varying terminology, and embedded patient information that creates both workflow friction and privacy risks. This underlying data problem is a major bottleneck, preventing the seamless deployment and scaling of AI applications.

Enlitic’s Ensight platform is engineered to solve this “plumbing” issue. It functions as an intelligent data management layer, using AI to automatically standardize imaging data. The platform can correct inconsistent study descriptions, de-identify protected health information (PHI) while retaining clinically valuable metadata, and structure the data for improved searchability and analysis. By creating a standardized foundation, Ensight ensures that data flowing into other systems, such as a Picture Archiving and Communication System (PACS) or an AI algorithm, is reliable and predictable.

“The real value of Ensight is in helping organizations take control of their imaging data and make it work more effectively for their teams,” said Michael Sistenich, CEO of Enlitic, in the official announcement. “Through this integration with Sectra, we are making that capability more accessible, enabling customers to accelerate automation, improve efficiency, and realize the full value of AI.”

This focus on the foundational data layer is crucial. While many companies develop AI models for specific diagnostic tasks, Enlitic addresses the prerequisite step of data preparation. Without this, even the most advanced algorithms can fail or produce unreliable results when faced with the messy, real-world data common in healthcare.

A Strategic Alliance to Fortify a Growing Ecosystem

For Sectra, a company consistently ranked “Best in KLAS” for customer satisfaction, this partnership is a strategic move to fortify its market-leading position. The Swedish-based firm has built a reputation for its robust, scalable enterprise imaging solutions, which include a Vendor Neutral Archive (VNA) that allows healthcare providers to consolidate imaging from various departments and sites into a single, unified system. The company's strategy has increasingly focused on building a comprehensive ecosystem that supports customers' long-term needs, especially as the industry shifts towards cloud-based SaaS models and AI integration.

This integration is expected to be facilitated through Sectra's “Amplifier Service,” a fully managed, cloud-based platform designed to seamlessly incorporate third-party AI applications into clinical workflows. By offering Enlitic's capabilities through this service, Sectra can provide its customers with a vetted, deeply integrated solution for data management, taking on the responsibility for deployment, hosting, and support. This managed approach significantly lowers the technical barrier for healthcare organizations, reducing the burden on internal IT departments and mitigating security risks associated with deploying multiple standalone solutions.

By partnering with Enlitic, Sectra enhances the value of its own ecosystem. It provides current customers a streamlined way to improve their data infrastructure and prepares them for broader AI adoption. For potential customers considering Sectra, the availability of a proven integration with a leading data-standardization platform becomes a powerful competitive differentiator, promising a shorter path from planning to achieving operational value.

Transforming Day-to-Day Clinical Workflows

Beyond corporate strategy and market positioning, the true impact of this integration will be felt in the day-to-day operations of radiology departments. The administrative burden on radiologists and technologists is substantial, with significant time often spent on non-interpretive tasks like searching for prior exams, correcting mislabeled studies, or manually routing cases to the appropriate subspecialist. These inefficiencies not only cause frustration but also delay diagnoses and impact patient care.

By standardizing and structuring imaging data at the point of ingestion, the integrated Enlitic-Sectra solution can automate many of these manual processes. For example, it can ensure that an imaging study is always correctly labeled and routed to the correct radiologist's worklist, regardless of where the scan was performed. It can automatically identify discrepancies, such as a laterality mismatch between the order and the image, and flag them for review before they cause downstream errors. This level of automation reduces friction, minimizes the risk of diagnostic errors, and frees up clinicians to focus on their primary role: interpreting images and caring for patients.

Furthermore, improved data interoperability between the PACS, the Radiology Information System (RIS), and the Electronic Health Record (EHR) is a major benefit. With standardized data flowing through the Sectra ecosystem, clinicians can gain a more comprehensive and accurate view of a patient's imaging history, leading to more informed decisions. This foundational improvement is essential for enabling more advanced applications, such as population health analytics, clinical research, and the training of new, site-specific AI models. For healthcare systems looking to modernize their infrastructure and operate more efficiently, this integrated approach provides a tangible solution to persistent operational challenges.