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Life Image Launches Real World Imaging for RWE Programs

by Jasmine Pennic 09/05/2019 Leave a Comment

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Life Image Launches Real World Imaging for RWE Programs

– Life Image launches Real World Imaging (RWI) offering to respond to researcher needs for maturing insights and accelerating drug development decisions. 


– Imaging data, especially for Real World Evidence (RWE), has historically been difficult, if not impossible, to access, retrieve, view, de-identify and normalize at-scale, even though it provides clinically material insights for a growing number of therapies.


– Life Image represents the only company providing large, heterogeneous, de-identified and linkable imaging data sets that integrate to longitudinal clinical outcomes.


Life Image, a global interoperable network for sharing clinical and imaging data, today announced the launch of its Real World Imaging (RWI) database to address this growing demand for RWE and fulfill researcher and innovator needs for ‘living’ data sets. The continuously growing database, which contains millions of images, will help researchers accelerate drug development decisions and train AI solutions demanding deeper accuracy across diverse data sets.

Life Image’s RWI Living Data Sets

Life Image’s RWI™ ‘living’ data sets represent hundreds of thousands of patients, tens of millions of images and hundreds of thousands of associated reports and studies categorized by more than 25 anatomical parts including head, lung, breast, chest and more. This heterogeneous and continuously growing data represents an expanding variety of demographics, temporal data, linked longitudinal records and virtually every global manufacturer across all modalities.

Imaging data, especially for Real World Evidence (RWE), has historically been difficult, if not impossible, to access, retrieve, view, de-identify and normalize at-scale, even though it provides clinically material insights for a growing number of therapies. Since 2008, Life Image has been the market leader using common interoperability standards to solve the many technical, procedural and structural barriers that have effectively segregated imaging data into unconnected data silos.

The Bigger Picture

The FDA issued a mandated framework on the use of Real World Evidence (RWE) in clinical trials requiring imaging data in addition to claims, EHR and other common real world data in clinical trial research. A 2018 Deloitte survey, however, found 60% of life sciences companies lacked access to the right data to increase the use of RWE, and many are still struggling to meet this mandate.

Common sources of Real World Data (RWD) such as labs, pharmacy, EHR and medical claims data unfortunately have limited ability to meaningfully capture a patient’s clinical circumstances. Biases exist in these sources of data, especially in oncology and cardiology, due to the type of data being collected (e.g. claims or billing codes) or due to limited access to sources of this data (reinforcing homogeneity).

These challenges often result in inaccurate representations of the patient’s or population’s actual condition or the impact of a treatment. Enhancing this type of data with imaging and unstructured data sets elevates the ability to validate the effectiveness of research and statistical models, accelerating the ability to improve protocols and patient outcomes.

Why It Matters

“The time has finally arrived that imaging can be utilized as an effective part of the RWE process by eliminating manual processing and compliance errors, providing access to large heterogeneous data sets, and doing so at the speed of the internet,” said Matthew A. Michela, CEO and President, Life Image. “With RWI™, Life Image is expanding its focus on helping researchers and innovators capture the full potential of RWE by providing ‘living’ data sets that grow and become even more meaningful over time. This makes it possible to answer questions as they arise as opposed to answering one question in a limited manner retrospectively, such as carefully controlled clinical trials. The potential benefits are innumerable for patients, payers, population health initiatives, artificial intelligence, and drug and device development.”

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Tagged With: AI, Artificial Intelligence, Clinical Trial, Clinical Trials, Drug Discovery, FDA, interoperability, Life Image, Life Sciences, lung, Oncology, Payers, Pharmacy, Population Health, Real World Evidence (RWE), Real World Imaging (RWI), unstructured data

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