Forecast Readmissions and Financial Losses with a Patient-Phenotype Platform

Jvion strives on to build a patient-phenotype big information system that utilized innovative research and strong device intellect to estimate activities within a medical center. They modified these activities into the medical and financial use cases that consist of their RevEgis solution. However, the RevEgis patient-phenotype centered big information device learning system can help medical centers estimate which sufferers are more likely to drive their Efficiency Ranking up or down, stratify those sufferers depending on risk of having more intense results and apply focused treatments that would best benefit the affected person and have effect on helping the Total Efficiency Ranking. The system informs physicians and supervisors about maximum care process for an individual patient right from the time of first touch to discharge and beyond.

Moreover, RevEgis is considered among one of the best cost reduction strategies that prevents the economical effects associated with medical difficulties such as hospital readmissions relevant threats along with other revenue-related activities such as payor acquiring and ICD-10 using predictive intellect. Through a high level patient phenotype design, RevEgis generates more workable ideas that help medical centers focus on preventions to quit compensation failures by avoiding the medical conditions resulting in financial charges. Through this same strategy and technology, RevEgis forecasts other areas of leak within the income pattern so that providers can proactively quit the loss of sources before they spend their hard earned money.