Challenges

Clinicians are often overworked, and hospitals are understaffed. Various studies estimate a diagnosis error rate of 10 – 15% which has a huge impact on those patients and the providers. Early diagnosis of critical conditions like Sepsis or Intracranial Hemorrhage has a significant effect on patient outcomes.

Opportunity

AI based decision support and diagnosis can help clinicians make better decisions by incorporating more data into the decision-making process and by learning patterns that are outside the clinicians’ purview. With mobile devices integrated into the clinical workflow, AI-based decision support helps doctors and nurses by providing a second opinion or by pointing out information they may have missed. These additional insights help the clinician make a more informed decision and can actual save time, expense and patient discomfort by preventing unnecessary tests.

Why H2O.ai

The mission at H2O.ai is to democratize AI for all so that more people across industries can use the power of AI to solve business and social challenges. The healthcare industry is a key focus for the company with an initiative to help develop AI healthcare solutions including dedicated, experienced resources for customers, driving healthcare AI events and meetups for healthcare professionals, and membership in Health IT Now, the leading coalition of patient groups, provider organizations, employers, insurers, and other stakeholders. H2O.ai is already working with top healthcare companies including Change Healthcare, Armada Health, Kaiser Permanente, and HCA, and its products include industry leading features for machine learning interpretability required by the healthcare industry for compliance purposes.

Related Case Studies

Adam Sullivan
Director, Change Healthcare

"H2O has been the driver for building models at scale. We are talking about billions of claims. You can't do this with standard off the shelf open source techniques. "

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Allison Baker
Data Scientist, HCA

"With H2O we are building models to improve the patient experience in our hospitals and improve the nursing and doctor workflows as well."

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