We live to save lives.

Identify at-risk patients sooner for earlier intervention with predictive, real-time clinical surveillance solutions.

PeraHealth is transforming healthcare through the intelligent use of data

By leveraging the Rothman Index (RI), care providers are able to visualize the patient condition and identify at-risk patients earlier, often with >24hrs warning and minimal false alerts. As a result, leading healthcare organizations are achieving significant value based performance improvements.

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Houston Methodist Hospital

Reduced mortality rate 30% in nine months, 77 patient lives saved

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Yale New Haven Health System

Reduced mortality rate 30% in twelve months at Saint Raphael Campus, reduced sepsis mortality 29% in nine months at Bridgeport Hospital

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Rothman Index has been published in 20+ peer-reviewed articles

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Children’s Hospital of Pittsburgh of UPMC

Prevented 53 ICU admissions associated with pulmonary and cardiac events, est. $5M annualized cost savings

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The Rothman Index is saving lives that at one point we would have considered unavoidable deaths.

Katherine Walsh, RNVP of Operations & Chief Nursing Officer, Houston Methodist St John Hospital

This (Rothman Index) alert happens anywhere from 8-12 hrs before the patient would crash by traditional medicine measurements. 8-12 hrs is a lot of time for doctors and nurses to go back and examine the child and in some cases literally save the child’s life.

Srinivasan Suresh, MD, MBA, FAAPChief Information Officer/Chief Medical Information Officer, Children’s Hospital of Pittsburgh of UPMC

It’s now a reflex. Just like looking at vital signs and progress notes, we look at the Rothman Index score and see where we are, what we need to do, and how we’re going to get there.

Nihar Desai, MDAssistant Prof. of Medicine, Yale School of Medicine, Yale New Haven Health System

Predictive, real-time clinical surveillance solutions

Continuous measure of patient condition across all patient populations and clinical settings. Solutions seamlessly integrate within clinical workflow through EHR integration, mobile platforms, and decentralized surveillance centers. Use cases include:

  • Proactive Rapid Response
  • Earlier Sepsis Detection
  • ICU Optimization
  • Palliative Care
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