Documentation Quality Metrics Dashboard - FluxAI Healthcare Demo

Documentation Quality Metrics

AI-Enhanced

Documentation Quality Overview

AI-analyzed 2,845 documents

Overall Quality Score

87/100

+5%

Completeness

92/100

+3%

Accuracy

89/100

+7%

Compliance

81/100

+2%

AI-Generated Improvement Opportunities

25 Actionable Items
Missing Assessment Sections in Consultation Notes
High Priority

AI analysis identified 15 consultation notes missing complete assessment sections. This affects 8% of all consultations in the last 30 days.

AI Insights

Pattern detected primarily in cardiology consultations by Dr. Wilson and Dr. Patel. The "Assessment" heading exists but often contains only 1-2 sentences without differential diagnoses or risk stratification.

Inconsistent Medication Documentation
Medium Priority

AI detected inconsistent medication documentation patterns across 32 clinical notes. Dosage information is missing in 24% of medication entries.

AI Insights

Common pattern of omitting units of measurement (mg, mcg) and frequency (daily, BID). Structured medication fields are properly completed but narrative text in the Plan sections contain these inconsistencies.

Missing Social Determinants Documentation
Medium Priority

67% of initial evaluation notes lack comprehensive documentation of social determinants of health. This affects reimbursement and quality reporting.

AI Insights

Most notes mention employment status but omit housing security, food access, transportation challenges, and social support. Medicare Annual Wellness visits are most affected, potentially impacting risk adjustment factors.

Regulatory Compliance

3 of 4 Standards Met

CMS E/M Documentation

Compliant
94%

AI-analyzed 1,245 encounter notes against 2024 E/M guidelines

HIPAA Privacy Requirements

Compliant
98%

No PHI detected in non-compliant contexts

Joint Commission Requirements

Compliant
91%

Pain assessment documentation meets standards

Medical Necessity Documentation

At Risk
74%

17 radiology orders missing sufficient justification

AI Compliance Monitoring

AI continuously monitors documentation against the latest regulatory requirements. Last regulatory update: 04/01/2025

Detected regulation change: CMS 2025 Quality Payment Program updated measure specifications

Provider Documentation Performance

Provider Overall Score Completeness Accuracy Compliance Trend Action
Dr. Sarah Chen
Cardiology
94/100
Excellent
96%
95%
92%
↑ 4%
Dr. Michael Wilson
Cardiology
73/100
Needs Improvement
65%
78%
76%
↓ 2%
Dr. James Patel
Internal Medicine
88/100
Good
90%
87%
88%
↑ 6%
Showing 3 of 25 providers