Madhu Jahagirdar, VP of Cloud, Technology, and Product at DeepHealth, and Kamal Puri, Associate Vice President of Google Cloud Business at Persistent, discuss how AI applications in healthcare have moved beyond point solutions to now driving end-to-end process workflows. This brings efficiency and democratizes expertise while delivering a unified patient experience across touchpoints.
As the informatics arm of Radnet – one of the world’s largest image diagnostic center chains with 10 million scans in the U.S. – DeepHealth is leveraging technology to streamline radiology processes, enable generalists and experts to come together, and break down data silos that hinder a seamless patient experience. Backed by scalable and secure cloud infrastructure, the application of AI extends beyond advanced image analysis to touchpoints across patients, personnel, technicians, and radiologists to accelerate clinical outcomes. DeepHealth is building a single operating stack for radiology workflows that consolidates the tool landscape for technicians, radiologists, and back- and front-office to deliver a single, unified patient experience that leads to the early disease detection and enhances treatment efficacy.
Backing this is data – in the form of images with regulatory implications. While DeepHealth works with cloud and on-premise datacenters, Google Cloud connectors allow it to continue to push the needle on innovation, with secured and private access. Persistent, a strategic partner for DeepHealth and a Premier Google Cloud Service Provider, is co-driving these transformation agendas. We have a deep ties to the Google Cloud ecosystem, where we work directly with product owners and have a first-row view of upcoming product enhancements. We are uniquely positioned to help clients like DeepHealth continue to innovate and reimagine patient outcomes.
Speakers –
Madhu Jahagirdar, VP of Cloud, Technology, and Product, DeepHealth
Kamal Puri, Associate Vice President of Google Cloud Business, Persistent
John Furrier, Industry Analyst, theCUBE
