Mayo Clinic and software developer to reduce inpatient deaths
Healthcare provider Mayo Clinic and software developer Jvion have launched the bedside patient rescue (BPR) tool, which uses cognitive computing to reduce the number of preventable deaths of hospital inpatients. BPR measures hospital data to determine which patients are in the most danger. The new tool will form part of Jvion's Cognitive Clinical Success Machine, which will take various measurements of patients. BPR will then analyse these measurements in order to highlight risks and make recommendations.

Rochester, Minn.-based Mayo Clinic and Jvion, a cognitive software developer, released a cognitive computing tool to help reduce preventable inpatient deaths.

The bedside patient rescue tool identifies patients at risk and in need of intervention by measuring data such as patient frailty and other hospital system metrics.

The BPR tool will be installed in Jvion's Cognitive Clinical Success Machine, which measures internal and external factors in a patient to identify risks and recommendations.

"Working in collaboration with the Mayo Clinic team, we have developed something that is positioned to help countless patients and the clinicians who care for them," Shantanu Nigam, Jivion's CEO, said.

Jvion partnered with Mayo Clinic after winning the Think Big Challenge competition at Transform 2016, an annual conference in Rochester. The challenge was designed to identify a company that could advance and commercialize a Mayo Clinic technology solution.