- H2O worked with healthcare companies including Change Healthcare, Armada Health, Kaiser Permanente, and HCA on machine learning interpretability required for compliance.
- H2O's predicting ICU transfers use case aimed to flag clinical deterioration early, addressing mortality rates as high as 67% linked to unplanned ICU transfers.
- H2O's claims fraud detection use case addressed an estimated 3% fraud rate in United States healthcare claims by using time series modeling to flag suspicious transaction networks.
- H2O's hospital readmissions use case addressed studies showing up to a 25% chance of readmission within 30 days for patients with chronic illness.
- H2O's sepsis prevention use case aimed to support early detection of sepsis, a leading cause of preventable death in United States hospitals.
H2O.ai is hosting a virtual Meetup on AI and Healthcare: Best Practices for Better Outcomes. Join us on 26th March, for a community discussion to collaborate with us and leading healthcare organizations to share ideas and best practices including predicting hospital staffing needs, ICU transfers, as well as sepsis detection and more. Register for the Virtual Meetup Here.
AI-based healthcare solutions have the potential to make healthcare more affordable and more accessible. H2O.ai , the open-source and automation leader in AI, is empowering leading healthcare companies to deliver AI solutions that are changing the industry. We are 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. Here are some of the use cases on which H2O.ai is working with its customers and delivering world-class solutions.