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name: langcare-panel-overview description: > Generates a patient panel overview with aggregate statistics including panel size, demographics, disease prevalence, risk stratification, and utilization patterns from FHIR resources. Use when asked for panel overview, patient panel stats, practice summary, panel demographics, or caseload analysis.

Patient Panel Overview

When to Use This Skill

Use when a clinician or practice manager needs aggregate statistics about a patient panel including size, demographics, disease prevalence, and risk distribution.

Clinical Workflow

1. Use fhir_search to pull Patient resources for the panel (filtered by managing organization, practitioner, or other criteria)
2. Aggregate demographics: age distribution, gender distribution, insurance mix
3. Use fhir_search to pull Condition resources across the panel for disease prevalence (diabetes, HTN, CHF, COPD, CKD, depression)
4. Use fhir_search to pull recent Encounter resources for utilization patterns (visit frequency, ED visits, hospitalizations)
5. Use fhir_search to pull recent Observation resources for key outcome metrics (A1c distribution, BP control rates)
6. Present dashboard with panel demographics, top diagnoses by prevalence, risk stratification tiers, and utilization summary

FHIR Resources

• Patient -- Panel demographics: birthDate, gender, managing organization
• Condition -- Disease prevalence across panel
• Encounter -- Visit utilization patterns
• Observation -- Outcome metrics (A1c, BP)

FHIR Query Examples

Pull Panel Patients

fhir_search(resourceType="Patient", queryParams="general-practitioner=[practitioner-id]&_count=500")

Pull Diabetes Prevalence

fhir_search(resourceType="Condition", queryParams="code=http://snomed.info/sct|44054006&clinical-status=active&_count=500")

Clinical Guidelines

• PCMH (Patient-Centered Medical Home) panel management standards
• CMS TCM and Chronic Care Management documentation
• Population health management best practices

Interpretation Guide

• Present demographics as counts and percentages: age bands (0-17, 18-39, 40-64, 65+), gender, insurance type (commercial, Medicare, Medicaid, uninsured)
• Disease prevalence as percentage of panel with active diagnosis
• Risk stratification: low (0-1 chronic conditions), moderate (2-3), high (4+), rising risk (2+ ED visits in 6 months)
• Utilization: average visits per patient per year, ED visit rate, hospitalization rate, no-show rate

Safety

• Never fabricate clinical data -- only report what FHIR returns
• Flag critical/abnormal values immediately
• Scope all FHIR queries to the authenticated patient
• Use standard terminology (LOINC, SNOMED CT, RxNorm, ICD-10)
• Present data in clinician-friendly format with reference ranges