Minimize the cost of care by knowing which members are high-risk and driving early intervention.
Succeed in this shifting space by deploying precisely-targeted care delivery to the patients who need it most.
"We see the partnership between Rogosin and pulseData as critical to our future. We believe the current CKD project is the beginning of many collaborative projects to come and we look forward to the continued growth and success of our relationship."
— Dr. Jeffrey Silberzweig, Chief Medical Officer of The Rogosin Institute
We partner closely with your providers to reduce the burden of chronic disease across your population by letting them know exactly who is at risk of acute events and which of their care workflows are working.
Kidney Week 2019 Wrap-up from pulseData! Learn about our Kidney Week experience.
Urine luck! We've got a lot going on this week down in DC and would love for you to join us. A talk, poster sessions and a happy hour! Get in on the fun.
Risk prediction of end stage renal disease (ESRD) for population management and care intervention is both a research priority and unmet public health need. The use of electronic medical records (EMR) can be leveraged for improved assessment of ESRD onset. However, traditional risk scoring may not provide accurate risk prediction or complete population coverage if EMR data is incomplete. To handle missing data we developed a machine learning (ML) approach and compared it to traditional risk scoring in two EMR cohorts.