We hold the world’s largest repository of medical images available to the healthcare system as curated data. Harnessing that data, our products, powered by Life Image, are the only on the market today providing large, heterogenous, de-identified, linked imaging data sets that integrate with longitudinal clinical outcomes.
Use Cases
- Search the world’s largest inventory of imaging data to support your RWE programs
- Find your cohorts with our clinical search tool designed to identify patients matching your specified parameters
- Match your cohort criteria at enterprise scale with de-identified datasets
- Train AI/ML models, collaborate on innovation, and bring real-world adoption of AI at the point of care
Learn more about Real World Evidence
To be truly useful, medical imaging must be integrated with related data sets and optimized on a broad scale. This process must meet five requirements.
Learn how RWE supports the process of establishing better results across the drug development lifecycle by using clinical, operational, administrative, social and patient-reported outcome information gathered from sources that capture this data at the time of the “patient care transaction.”
Many biopharmaceutical companies have started placing greater emphasis on RWE to prepare for coming regulations while driving the development of new therapies and supporting value-based contracts. Learn about the value RWE can provide in this article in Healthcare Innovation
Biopharma executives increasingly must show value for access, understand the patient journey, and provide more data. The survey shows how RWE plays a role.
RWI: Previously Unavailable Until, Now.
Imaging has historically been extremely challenging to access due to the many technical, process, and structural barriers that have effectively segregated imaging data. The time has finally come that heterogeneous Real World Imaging™ can be effectively utilized in RWE programs.
Intelerad operates the largest clinical image exchange network in the country, with workflow integrations inside over 90% of U.S. academic medical centers, connecting 13,000 facility endpoints with 160,000 U.S. providers and 58,000 global clinics.
800K+
Unique patients
800M+
Images
2.7M+
Studies and Reports
80+
Modalities
Inventory of Living Data Sets
With this vast evidence network, powered by Life Image, we seek to capture the full potential of RWE — “living” data sets that you add to over time, which allows you to answer questions as they arise. The new critical path is to rapidly identify, access, investigate, and manage linked RWD assets in a replicable way across a network of providers, patients, and clinical research organizations.
Demographics
Location parameters include urban, rural, and suburban areas. Patient distribution options include gender, age, and severity of illness.
Longitudinal
RWI™ provides access to patient-centric medical histories that are linkable to other data sets. The data follows the patient through the progression of diseases as the patient traverses the continuum of care in the delivery ecosystem.
Condition Heterogeneity
Data can be made available to study rare diseases with long latency periods for prospective cohort studies and common diseases with short latency periods for retrospective case-control studies.
Comprehensive
The RWI repository, powered by Life Image, includes data from 50+ manufacturers, such as GE, Phillips, Siemens, Canon, and Fuji, and from 80+ modality versions, representing the head, chest, lung, breast, neck, brain, hand, and other condition locales.
Bringing It All Together
The Data Asset Explorer, powered by Life Image, gives researchers and innovators the ability to search a robust repository of de-identified DICOM studies and related patient clinical information based on a wide range of clinical parameters. Once your desired studies are selected, the RWI team will package de-identified text fields with the de-identified DICOM imaging so you are provided with a complete package of clinical information to support real-world evidence programs or AI software creation, improvement, and validation.