What is Frailty?

Frailty is a clinical syndrome of losses across multiple body systems. As frailty increases, so do the risks for the negative outcomes we all want to avoid.

Frailty Risk Score

The Frailty Risk Score predicts the degree of risk for adverse outcomes and is better than age or diagnosis to determine the benefit or harm of a specific treatment for a patient. It helps frame communications around care planning, supports resource utilization, and identifies the most appropriate setting for rehab and recovery.

Evidence-Based and Validated

The Frailty Index has been internationally validated over the last 30 years. It has been widely adopted in Australia and China and even mandated now in Canada and the UK. We have now optimized and automated the Frailty Index for over 2 million patients in the United States across care settings with an 89% confidence in predictive value.

The Frailty Risk Experts

Our team has a combined 40 years of experience researching and developing the operationalization of the frailty index in the United States and Canada.  Combining experts in complex patient care and technology affords us a unique perspective on measuring and managing patient risk within today’s workflows

Fit or Frail? The Eyeball Test

Patsy
82 years old
DIAGNOSIS
Health-care associated pneumonia
TREATMENT
Triple antibiotic therapy & fluids

Result of next illness:

Becomes debilitated quickly with cognitive decline and delirium
  • Falls, hip fracture, hospitalized
  • GI bleed
  • Does not survive
PATIENT PATTERN FRAILTY RISK SCORE
53.26%
Rosie
82 years old
DIAGNOSIS
Health-care associated pneumonia
TREATMENT
Triple antibiotic therapy & fluids

Result of next illness:

Becomes temporarily debilitated
  • Quick Recovery
  • Returns to baseline
PATIENT PATTERN FRAILTY RISK SCORE
29.65%

We can clearly see in this example that Patsy and Rosie look “identical” side-by-side with respect to their chronological age and diagnosis. However, we can also see that they both had dramatically different outcomes when provided an identical treatment plan.

Could the likelihood of Patsy’s negative outcome have been indentified? Yes. By leveraging Patient Pattern’s Frailty Risk Score, calculated from data that is already being captured, a much different story is told about the health of these two individuals and importantly, their ability to rebound from stressors.

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