Inventory of Living Data Sets
With this vast evidence network, Life Image seeks 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 Life Image RWI repository 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 Life Image RWI query tool 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 Life Image RWI team will package de-identified text fields with the de-identified DICOM imaging so that you are provided with a complete package of clinical information to support your real-world evidence programs or AI software creation, improvement, and validation.
