Identifying Frailty – Risk Stratification Analytics Part 7

Identifying Frailty – Risk Stratification Analytics Part 7

Identifying frailty

Frailty, while sometimes referred to as the normal aging process, is not always seen in geriatric patients. Rather, frailty as part of risk stratification is defined as a set of health characteristics that are associated with poor health outcomes, no matter the age. While there is no standard definition or formal diagnosis of frailty, identification of these individuals occurs through the understanding of specific risk factors for adverse health outcomes, high health care utilization and costs.

Identifying frailty early is critical in helping to prevent negative implications associated with the syndrome, including poor outcomes when faced with any health complications, like seasonal illness or a surgery.

Frailty Concepts

KPI Ninja clients using the Johns Hopkins ACG® System get the benefit of quickly identifying up to 10 different frailty concepts to have a better understanding of this syndrome in their population.

frailty concepts

As you can witness, each of the concepts represent medical problems associated with frailty. The methodology used to create each of the concepts is based upon a set of identified diagnoses. One example would be ICD-10 codes “R24.89 – Other abnormalities of gait and mobility” and “R26.2  – Difficulty in walking, not elsewhere classified” that would both fall into the “Difficult in Walking” concept.

Actionable Analytics

Clinicians and teams can use this information in a variety of ways to support their care management and population health efforts. Some use it as a simple flag; either the patient does or does not have a frailty condition.

Others desire more detail and prefer a full breakdown of frailty concepts at the population, organization, provider, patient levels and more.

Uncovering vulnerable patients is a crucial component of successful population health efforts, above and beyond risk scores and disease registries. KPI Ninja is here to help clinicians find care opportunities and cultivate a culture of process improvement to keep refining service delivery for improved health outcomes.

Renee Towne

About the Author
Renee Towne
VP of Population Health at KPI Ninja, Inc.
Renee provides operational leadership of quality initiatives at KPI Ninja. Towne has a background in occupational therapy, education and experience in operational excellence across a variety of healthcare domains. Based on prior experience as a clinician that drove outcomes patient by patient, she is leaving a larger footprint by improving health care more comprehensively, population by population.

About KPI Ninja
KPI Ninja is a data analytics company that helps healthcare organizations accelerate their quality, safety, and financial goals with a unique combination of software and service. We are differentiated by our signature mix of technology, performance management consulting and healthcare expertise. We don’t merely offer software solutions but work shoulder to shoulder with clients to help them draw on the power of analytics and continuous improvement methodologies to become more efficient. In harmony with our data-centered ethos, we truly believe that our success is strongly co-related with yours.

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