AI-Powered Cloud-Based PACS

The AI-Powered Cloud-Based PACS is tailored for small to medium-sized healthcare facilities and underserved regions. This innovative solution leverages cloud technology to provide flexible deployment and efficient management, enabling secure remote storage, real-time access, seamless image sharing, and AI-assisted interpretation. It enhances medical imaging workflows, improving efficiency and patient care outcomes.

Key Features

Cloud Solution for Seamless DICOM Transfer and Access

Powered by AWS cloud services, this lightweight PACS system offers 24/7 support for medical institutions. It seamlessly integrates patient data and medical databases, meeting the growing demands of precision medicine.

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Seamless Integration with Image Viewers, EMR, and AI Software

The system supports various medical imaging devices, including X-ray and other imaging equipment, while integrating with electronic medical records (EMR) and AI-generated reports. This centralized platform streamlines the management of patient information and medical images, enabling efficient telemedicine analysis.

Customized Mini-PACS to Meet Local Healthcare Needs

Tailored PACS integration systems provide support for DICOM viewers, AI analysis, data search, and sorting functionalities. These capabilities allow for effortless recording and analysis of complete medical records, optimizing workflows and enhancing patient care quality.

Product Overview

Cloud Integration with EMR and AI for Optimized Clinical Decisions

This cloud-based PACS system seamlessly integrates with electronic medical records (EMR) and AI screening software, providing a unified view of patient data to enhance and optimize clinical decision-making support.

Role-Based Access and Management for Remote Reading

Designed for X-ray applications, the system offers a “Study List” module for screening sites and a dedicated “Dashboard” for radiologists. This enables remote interpretation, analysis, and reporting, while facilitating the integration of patient medical records, fully addressing the needs of remote radiology diagnostics.

Generative Reporting to Reduce Healthcare Workloads

Leveraging large language models (LLM) integrated with ChatGPT, the system supports generative reporting. Healthcare professionals can swiftly toggle between patient data lists and images, efficiently drafting and verifying patient reports to streamline workflows and reduce workloads.