Apervita has unveiled the world’s first community and marketplace for health analytics & data, empowering prominent global health enterprises to publish and commercialize their knowledge, sharing it with health professionals everywhere. This approach uniquely addresses the burgeoning demand for health analytics & data by empowering leading enterprises to capture and share their expertise, making it readily available through a marketplace for all to use.
The rapidly growing Apervita Community already boasts ten founding members and more than 250 algorithms, measures, pathways, protocols and data sets offered through the Apervita Market. With Apervita, health enterprises and professionals can author, publish and subscribe to health analytics & data, easily applying them in their workflow. Pioneer community members include leading health enterprises, such as Mayo Clinic, The Leapfrog Group, CETA Consulting, Quant HC, Diameter Health and MEDAL.org.
Apervita community members showcasing at HIMSS15 include:
– The Mayo Clinic: a Sudden Cardiac Arrest algorithm, allowing cardiac physicians to quickly sift through large amounts of EMR data to detect those patients in need of a consultation.
– Michelle Currie, Chief Data Officer of CETA Consulting: a chronic heart failure management dashboard, allowing providers to monitor and manage patient risks throughout in-patient stays.
– Dr. Dana Edelson M.D., Chief Medical Officer of Quant HC: eCART, allowing physicians to detect, with precision, early signs of patient deterioration.
– John D’Amore M.S., Chief Technology Officer of Diameter Health: DH Predict, allowing Case Managers to detect 30-day readmission risks and leading causes with unparalleled accuracy.
– John Svirbley M.D., Chief Medical Officer of MEDAL.org: the largest global aggregator of medical algorithms, commercializing numerous analytics on Apervita, including readmission, cancer and chronic disease.
Apervita and the Mayo Clinic will also showcase the first solution to automatically transform standard measure definitions into computable analytics. This capability makes the complex and exhausting task of importing, authoring, then releasing and executing measures fast and simple.
