Decision Support

Michigan Medicine's neurosurgery team increased accuracy rate from 68% to 96% by developing a computer vision model to help improve pathologist decision support.

The clinical content and technology company has announced a multi-year partnership with leading Saudi hospital information system, OASIS.

Gathering data at scale, labeling that data and monitoring tool efficacy are all critical steps in scaling AI tools – but they can also act as bottlenecks, especially in the healthcare space, said experts during an AWS panel this week.

The partnership will use Ada Health's AI-based platform to speed up the diagnosis of rare conditions.

Anumana will develop and market algorithms for early detection of disease. Lucem Health can collect device data and feed it into clinical workflows. Both spin-offs aim to capitalize on advances in AI and remote telemetry.

With the new addition, combining Kantar's research and consulting expertise with its own technology and real-world data, Cerner aims to further build out its Learning Health Network consortium.

Among the project's new advancements will be the automation of prior auths at Ochsner Health, with more codeveloped tools for patients, payers and providers to come.

Health systems that refuse to see themselves as engineering houses risk falling behind in their ability to properly leverage artificial intelligence and machine learning.

The analytics company wants to help its customers use augmented intelligence to tackle everything from value-based care and price transparency to pandemic response and health equity.

Providers and vendors collaborated to build a guideline aimed at helping emergency physicians determine when to admit or discharge patients.