H2O.ai Showcases Healthcare and Life Sciences Leadership with Customer Successes, Breadth of AI Apps at HIMSS 2022

Company Supporting Health Ecosystem Across Population Health, Precision Medicine, Public Health and Intelligent Supply Chain

-H2O.ai, the AI Cloud leader, announced it has expanded its healthcare capabilities, now offering 40 AI applications across population health, precision medicine, public health and intelligent supply chain, supporting customers throughout the healthcare ecosystem including Bon Secours Mercy Health (BSMH) and Kaiser Permanente.

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“H2O AI Cloud, integrated with the Snowflake Data Cloud, is making it easier for health organizations to rapidly develop precision medicine solutions”

The company will demonstrate its technologies at the healthcare industry’s flagship technology conference, HIMSS, in Booth No. 8141, March 15-17 at the Orange County Convention Center in Orlando.

Healthcare and life sciences organizations have been stretched thin over the past few years and are actively looking for new technologies to streamline operations and improve patient outcomes across the private and public sectors. AI will empower physicians, hospital administrators, researchers and pharmaceutical companies with models and applications that produce more affordable, more accessible and more efficient healthcare. H2O.ai is at the forefront of this effort, helping organizations rapidly transform to improve health equity, access and care.

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For example, the Center for Digital Health Innovation (CDHI) at the University of California, San Francisco (UCSF) is collaborating with H2O.ai on the development and training of AI algorithms that automate the processing of the 1.4 million faxed patient referrals and other documents that UCSF’s health system receives annually. The algorithms identify, classify and prioritize document types. For referrals, the AI extracts key patient data, history and relevant health information that will assist staff and eliminate manual data entry and validation tasks.

“AI in healthcare has the potential to dramatically improve the operational processes that can prevent patients from getting care quickly, at the right place, and from the right provider,” said Alon Konchitsky, associate director for data science and machine learning at CDHI. “Our work with H2O.ai for health document handling is just one aspect of the transformation in the ways patients access and receive care.”

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