On-Demand Webinar

Predicting Unplanned Readmissions With the Pediatric Rothman Index


While pediatric hospitals do not face financial penalties for unplanned readmissions, pediatric clinical leaders nationwide are closely focused on identifying tools that can reduce the impact of readmissions on pediatric patients. In fact, as part of their effort to minimize patient harm, the 130+ members of the Children’s Hospital’s Solutions for Patient Safety (SPS) Network are committed to reducing unplanned readmissions. While this remains a difficult terrain to address, one of our partners, Children’s Hospital of Orange County (CHOC) has created a model for predicting unplanned readmissions that integrates the Pediatric Rothman Index (pRI). The model was recently accepted for publication in Hospital Pediatrics, with the reviewers noting that CHOC’s predictive tool is “A novel model for enhanced prediction and understanding of unplanned 30-day pediatric readmission.”

We are delighted that nationally recognized clinical informaticist Dr. William Feaster, Chief Medical Informatics Officer at CHOC, will join us for the Rothman Society’s second Research Focus webinar, as we turn our attention to reducing unplanned readmissions among children. Dr. Feaster will be joined by Louis Ehwerhemuepha, PhD, one of the lead data scientists who helped develop CHOC model. Together they will share the story behind the development of the model, the data components that make up the calculation, and review their criteria for additional sites to engage in further validation of their work.

Webinar attendees will:

  • Learn about the pRI and it’s development, and the key components that feed into the Index
  • Learn the capabilities of the pRI to effectively reflect patient condition across the continuum
  • Understand why the pRI is superior to existing tools for predicting patient deterioration, specifically PEWS
  • Absorb the background to the development of the CHOC’s readmission model
  • Understand the key data points that feed into the model, and the results CHOC has seen
  • Learn the opportunity to participate in the next phase of CHOC’s research