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De-identify patient imaging records with automation

Learn how KPMG and Google Cloud can help create more value from healthcare data and unlock new treatments and procedures faster

Healthcare patient data has great value in the clinical, analytics, and research marketplace, but the complex data sets are challenging for maintaining patient confidentiality.  De-identification of patient imaging records is a largely manual process, usually occurring one patient file at a time and can take up to an hour for a complex record.

If hospitals and providers want to access more grants, participate in more research studies, and drive better patient outcomes, then they need to leverage the computational power of the cloud.  Patient records can be de-identified en masse, in minutes, and with little effort.

In order to increase the speed, accuracy, and efficiency of the de-identification process, KPMG expanded upon its Data Transformation and Migration Hub, leveraging the Google Cloud environment to build out a solution using Google Cloud services.  Together, we imagine a healthcare future where any patient record can be de-identified.  It could unlock a world of value, data commercialization, and acceleration of research that most health systems can only dream about now.

Dive into our thinking:

De-identify patient imaging records with automation to create more value from healthcare data

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Accelerating Healthcare Modernization with KPMG and Google Cloud

KPMG helps our healthcare clients modernize their data and analytics programs to accelerate their journey into the cloud.

Meet our team

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Mike Krajecki
Partner, IT Advisory & Healthcare Innovation, KPMG US
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Randall Walker
Director, Data Engineer, Lighthouse, KPMG US

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