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H2O.ai Expands Healthcare and Life Science Offerings with 40 AI Apps

H2O.ai | March 14, 2022

H2O.ai, the AI Cloud leader, announced that it has expanded its healthcare capabilities, now delivering 40 artificial intelligence applications across population health, precision medicine, public health, and intelligent supply chain, with customers including Bon Secours Mercy Health (BSMH) and Kaiser Permanente.

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

Healthcare and life science companies have been stretched tight in recent years, and both the commercial and public sectors are actively exploring for innovative technology to streamline operations and improve patient outcomes. AI will provide models and applications that will enable physicians, hospital administrators, researchers, and pharmaceutical companies to offer more inexpensive, accessible, and efficient healthcare. H2O.ai is at the vanguard of this effort, assisting organizations in making rapid changes to improve health fairness, access, and treatment.

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. Our work with H2O.ai for health document handling is just one aspect of the transformation in the ways patients access and receive care."

Alon Konchitsky, associate director for data science and machine learning at CDHI.

For example, the University of California, San Francisco (UCSF)’s Center for Digital Health Innovation (CDHI) is working with H2O.ai to develop and train AI algorithms that will help automate the processing of the 1.4 million faxed patient referrals, along with other documents that UCSF’s health system receives each year. The algorithms recognize, classify, and rank different types of documents. The AI pulls vital patient data, history, and pertinent health information for referrals, which will help staff and remove manual data entry and validation activities.

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Hoewel buitendienst- en eerstelijnsmedewerkers in aantal het grootst zijn en bovendien vaak als eerste in contact komt met klanten, zijn ze op technologisch gebied in het verleden vaak een beetje een ondergeschoven kindje geweest. In dit tijdperk van nieuwe digitale transformatie kun je medewerkers die direct met de klant in con

Spotlight

Hoewel buitendienst- en eerstelijnsmedewerkers in aantal het grootst zijn en bovendien vaak als eerste in contact komt met klanten, zijn ze op technologisch gebied in het verleden vaak een beetje een ondergeschoven kindje geweest. In dit tijdperk van nieuwe digitale transformatie kun je medewerkers die direct met de klant in con

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