The Frailty Risk Identification Dashboard provides healthcare professionals with an at-a-glance view of patients aged 65 and over, segmented by their frailty risk levels. This tool enables proactive care planning and helps identify gaps in frailty assessments and care coding.
This is your high-level snapshot of frailty risk distribution across the selected Primary Care Network (PCN) and practices.
Key Metrics Displayed:
Total High Risk Patients
Total Medium Risk Patients
Total Low Risk Patients
Additionally, it displays:
Number of Over 65 patients at each risk level without a frailty assessment.
Average Care Planning Codes recorded per patient by risk level:
High Risk
Medium Risk
Low Risk
Use the dropdown filters at the top to drill down by:
PCN Name
Practice Name
This view provides a patient-level breakdown of frailty risk.
Data Columns:
PCN and Practice Name
Patient ID (anonymized)
Risk Band (Low, Medium, High)
QFrailty Score
Foundry RAG Code
Existing Frailty Assessment status
Chronic Conditions (sortable by condition)
You can filter based on:
Risk band
Number of chronic conditions
Existing frailty assessments
RAG code
Specific long-term conditions (e.g., COPD, CKD, Dementia)
This helps clinicians identify individuals at risk who might need further review or care planning.
This chart provides a visual representation of the number of patients per risk band over time, making it easy to:
Monitor trends in frailty identification.
Track progress in frailty assessments and care planning.
Identify gaps: See patients aged 65+ with no frailty assessment, categorized by risk level.
Prioritize care: Use average care planning code data to assess how well patients are being supported.
Segment patients: Filter by chronic conditions to isolate vulnerable subgroups for intervention.