Cleveland Clinic is the latest world-class provider to make its analytics algorithms available on Apervita, enabling other health providers to put some of its knowledge to work improving their own outcomes.

[See also: Mayo Clinic shares analytics with other providers]

The Apervita platform, enables health organizations to author, publish and subscribe to a "market" of analytics tools, quality and safety measures, pathways and protocols. Cleveland Clinic joins other big name organizations making algorithms available on Apervita, such as Mayo Clinic, which signed on in February.

"At Cleveland Clinic we have developed advanced prediction models to assist health enterprises and professionals to rapidly process large volumes of patient data, taking the burden off the physicians, allowing them to dedicate more time to their patients," said Michael Kattan, chair of quantitative health sciences at Cleveland Clinic, in a press statement.

"Apervita provides Cleveland Clinic with a unique approach to make this knowledge computable and share it with a broad audience, increasing its impact on health," he added.

Over the decades, Cleveland Clinic has developed an array of analytics tools focused on specialties such as cardiology, surgery, oncology, behavioral health and diabetes and more. By joining Apervita it can make these capabilities available to other providers, commercializing "some of the most valuable health knowledge in the world (and) sharing it with health enterprises everywhere," according to Paul Magelli, chief executive officer of Apervita.

"Innovation is critical for rapid health improvement, and Apervita's approach to empowering others to commercialize their health knowledge, on a global scale, is a prime example of technology solving some of our largest health challenges," said Gary Fingerhut, executive director at Cleveland Clinic Innovations, in a statement. "Publishing Cleveland Clinic's expansive library of prediction models aligns with our goal to ensure they are broadly adopted and thereby increasing the likelihood of positive global impact to patients."