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 tool is based on a new algorithm developed by Mayo researchers that can identify patterns among different types of patients, such as those with heart disease, diabetes, or other chronic conditions. BPR will then analyse these measurements in order to highlight risks and make recommendations.
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.