Essen Health Care Deploys Radin’s AI RIS and PACS Cloud Platform

Essen Health Care has launched an all-in-one radiology platform developed by Radin LLC, replacing legacy systems with a unified, cloud-based RIS (Radiology Information System) and PACS (Picture Archiving and Communication System). The deployment introduces artificial intelligence across scheduling, reporting, and imaging workflows, according to a company announcement.

The platform is designed to consolidate previously separate systems into a single environment that manages the full imaging lifecycle, from order entry to report generation and archival. Essen said the move is part of a broader effort to improve access to care, reduce wait times, and enable faster clinical decision-making.

“RADIN Health is more than just a technology upgrade; it is a fundamental pillar of Essen Health Care’s strategy to deliver accessible, efficient, and superior diagnostic imaging services,” Jonathan Khodadadian, MD, Medical Director, Specialty Division, Essen Health Care, said in the release.

Essen Health Care operates as an integrated, multi-specialty provider serving communities across New York, with services that include primary care, urgent care, and specialty treatment. The organization said the new platform supports its focus on coordinated care and operational efficiency.

Unified Radiology Workflow and AI Integration

The Radin platform combines RIS and PACS capabilities with embedded AI tools to manage scheduling, reporting, and image sharing within a single system. Patient and referring physician portals are included, enabling digital access to images and reports and simplifying appointment coordination.

AI-driven features support automated scheduling and assist radiologists in generating reports. The system reduces manual steps across the imaging process, including order entry, documentation, and archival. Essen said these changes are expected to shorten turnaround times and allow earlier treatment planning.

The platform also introduces automated follow-up tracking for abnormal or inconclusive findings, along with tools designed to maintain compliance with clinical and regulatory standards. By centralizing data and workflows, the system aims to improve consistency in imaging quality and reporting accuracy.

This approach aligns with broader industry efforts to use AI to improve operational outcomes in healthcare delivery.

Shift Toward Cloud-Based Imaging Infrastructure

Radin’s platform is delivered as a serverless, cloud-based system, removing the need for on-site infrastructure and enabling scalability across imaging operations. The model allows providers to manage increasing imaging volumes while maintaining centralized access to data and workflows.

The deployment reflects a wider shift toward integrated healthcare platforms that combine multiple functions into a single system. Similar approaches are emerging across the sector, where AI platforms are expanding across care delivery, operations, and data management.

Automation is a central component of this transition. By reducing manual processes in scheduling, reporting, and coordination, providers aim to improve efficiency and reduce administrative burden.

Radin said its platform uses artificial intelligence, machine learning, and natural language processing to support radiology workflows. These tools are increasingly applied in specialized clinical domains such as imaging, where task-specific models can support faster and more consistent reporting.

The system also supports cloud-based image sharing between providers, allowing external clinicians to access diagnostic data without delays tied to physical infrastructure. Essen said this capability is intended to improve coordination across care teams and ensure that clinicians have timely access to imaging results.