“Given the intricacies of imaging data, and the myriad places where PHI can exist, the process of de-identifying is often extremely cumbersome, expensive and requires specialized and custom programming as well as manual human intervention,” said Matthew A. Michela, CEO and President, Life Image. “Working with Google Cloud on this advanced de-identification solution allowed Life Image to bring our knowledge of the intricacies of imaging data, as well as our advanced machine learning capabilities, to bear so that together we could help solve one of the most complex issues in healthcare.”
While the value of reusing clinical trial imaging data for other research initiatives is well-known, de-identifying this data has long posed a problem due to privacy concerns, extremely high costs and a lack of adequate tools to accomplish this at scale. Life Image’s enhancement services, on top of the capabilities of the Google Cloud Healthcare API, overcome these hurdles by offering an enterprise solution that allows large de-identified datasets of images to be repurposed to accelerate new clinical research and discoveries, train machine learning models, carry out additional analysis and spark new ideas for research — while ensuring PHI in diagnostic images and reports is protected. Leveraging this de-identification technology, organizations can make imaging data from prior studies serviceable faster and easier, increase public availability of trial imaging data for use in other studies, improve access for real-world evidence applications, dramatically reduce the cost of de-identifying trial data, and more.
About Life Image
Life Image is the world’s largest medical evidence network providing access to points of care and curated clinical and imaging data. It is the only company in the market today with Real World Imaging™ that provides large scale, heterogeneous, de-identified imaging sets that are linkable to other longitudinal data. Founded in 2008, Life Image has created a digital platform using industry leading interoperability standards to connect 10,000 facilities with more than 150,000 U.S. providers and 58,000 global clinics. Its network of hospitals, physicians, patients, life sciences, medical devices and telehealth is interconnected with a technical ecosystem of EHRs, PACS, AI solutions, cloud environments and analytics platforms.
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