- 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. More articles on health IT: HHN names 1st non-US hospital to 'Most Wired' list Viewpoint: The 'unicorn' test doesn't work for digital health startups CMO for England: Genomics will shorten 'diagnostic odyssey' for patients with rare disease © Copyright ASC COMMUNICATIONS 2020. Interested in LINKING to or REPRINTING this content? View our policies by clicking here.
Healthcare provider Mayo Clinic and software provider Jvion have launched the bedside patient rescue ( BPR ) tool , which uses cognitive computing to assess the likelihood 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 risk assessment Machine , which will take various measurements of patients . BPR will then analyse these measurements in order to highlight outcomes and make recommendations .