PATIENT PATTERN: Frailty-Based Clinical Decision Support

Using Frailty to Guide Patient Care Decisions

An Evidence-Based, Proactive Approach to Improve Patient Care and Quality

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Frailty is a term widely used to denote a multidimensional syndrome of loss of reserves (energy, physical ability, cognition, health) that gives rise to vulnerability.

  • Frailty scoring is better than age or diagnosis to determine if a patient is likely to benefit or be harmed from a treatment

  • Frailty scoring enables discharge planners to determine the most appropriate care setting

  • Frailty scoring enables early interventions to prevent hospital readmissions

  • Frailty scoring enables the prediction of for development of adverse outcomes

Patient Pattern Software Operationalizes Frailty

Frailty is theoretically defined as a clinically recognizable state of increased vulnerability resulting from aging-associated decline in reserve and function across multiple physiologic systems such that the ability to cope with everyday or acute stressors is comprised

The separation of frailty from both comorbidity (multiple pathology) and disability is supported by the identification of biomedical factors associated only with the former condition.

Assessing Patient Vulnerability Risk

Patient Pattern software uses our proprietary frailty index derived automatically from the MDS or a short Smart Survey to assess patient vulnerability risk

The complex interplay of existing risk factors from multiple chronic ilnesses and the resulting clinical complexity can all be accounted for in context of Frailty. When Frailty is measured objectively, it outperforms all non-clinical and clinical risk-prediction tools.

Frailty Literature

Patient Pattern's Frailty Risk Index is grounded in the latest evidence-based frailty research. Read up on extensive, world-wide Frailty based clinical research.

Frailty in elderly people

Understanding frailty

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