QP-Insights

QP-Insights® is a web-based cloud platform developed by Quibim for the management, storage, and quantitative analysis of large-scale multi-omics data and medical images in clinical studies and research projects. It is designed for pharmaceutical companies, hospitals, and research consortiums that require centralized, standardized handling of imaging and clinical data at scale.

The platform links imaging data with processed electronic health records (EHR) data to support the extraction of predictive models and biomarkers. QP-Insights is interoperable with other registries and is used as the backbone platform for multiple EU-wide research consortiums, including EUCAIM, a component of Europe's Beating Cancer Plan.

Core Infrastructure and Data Management

• Operates as a cloud-based platform with security, scalability, and global deployability built into its infrastructure.
• Harmonizes imaging data to generate standardized image quality, reducing variability across equipment manufacturers and acquisition protocols.
• Includes a DICOM image server that manages storage and transfer of all DICOM-based medical imaging data using open standards such as DICOM and DICOM web.
• Supports integration with on-premises PACS systems via QP-Link, as well as manual upload and download through the web portal.
• Uses encrypted data storage and transfers data only in encrypted form to reduce re-identification risk.

Compliance and Data Security

• Includes a built-in anonymization module compliant with HIPAA and GDPR regulations.
• Removes all potentially identifying data from DICOM images and clinical records, applicable to both automated uploads via QP-Link and manual uploads via the portal.
• Supports two-factor authentication for access control.
• Provides event logging, audit trailing, and monitoring services for platform observability.
• Includes rules and workflow services to govern automation within the platform.

RECIST 1.1 Evaluation with AI

• Integrates deep learning algorithms to support tumor response evaluation based on RECIST 1.1 criteria, designed to optimize radiology workflows.
• Automatically detects, segments, measures, and tracks lesions in the lungs and liver across follow-up timepoints from baseline.
• Identifies new lesions and monitors existing ones over time.
• Radiologists can manually adjust AI-generated measurements and add lesions from other anatomical regions through the interface.
• All assessment data is stored in a standardized digital format, enabling automated RECIST 1.1 response calculations and generation of a final summary report.

Multi-Omics Data Management and Analysis Capabilities

• Includes a zero-footprint DICOM viewer that allows users to load, display, and annotate DICOM files, with tools for annotating findings, regions of interest (ROI), and performing organ segmentation.
• Provides AI-driven organ and lesion segmentation using an organ-agnostic automated methodology applicable to multiple imaging modalities including MRI, CT, PET, PET/CT, and PET/MRI, across various anatomical areas and clinical conditions.
• Incorporates AI Radiomics analysis modules that extract information from conventional scans to support diagnostic accuracy, prognostic evaluation, and prediction of therapeutic responses across anatomical areas.
• Offers eCRF interoperability with real-time integration of imaging biomarker quantification with electronic data capture (EDC) systems for clinical trials, including customized eCRF forms per clinical study.
• Includes a DataMiner tool that supports visual analytics, allowing users to explore and export results on patient cohorts, conduct preliminary statistical analyses, and apply clustering techniques based on imaging and multi-omics data.

Customization and Platform Views

• The platform is highly customizable based on user requirements.
• Provides a subjects view listing imaging exams and corresponding data per subject.
• Provides an imaging exams view listing imaging series and their corresponding data.

QP-Insights is deployed as a cloud platform with support for on-premises PACS integration via QP-Link. It has been adopted by major biopharmaceutical companies and serves as the infrastructure for nine EU-wide research consortiums. The platform's analytics engine, the Quibim analytics engine, handles all processing and inferencing on image and clinical data.