End Stage Renal Disease (ESRD) and Use of Advanced Analytics in Improving Outcomes

To sustain life, patients with End Stage Renal Disease (ESRD) require a constant regimen of dialysis that generally occurs daily to three times per week, or a renal transplant. The estimated average cost of caring for an ESRD patient is more than $80,000 per year. Learn how one organization leverages data from more than a million patients and 250 million dialysis treatments to successfully develop, test, and implement statistical models to predict which patients are most and least likely to be hospitalized, miss scheduled treatments, or have a decline in their functional status, and thus improve patient outcomes by timely intervention(s)

In this presentation,

  1. learn about kidney disease, End Stage Renal Disease (ESRD), and dialysis including the role of the kidneys, stages in kidney disease, and an overview of the ESRD population in the U.S., and
  2. explore the role of big data and analytics in ESRD population, how data is collected, and how analytics are employed to improve patient outcomes.
Keywords: 
ESRD, Data, predictive models and analytics, Clinical & Business Intelligence, HIMSS