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Reliability Score
81
31 → 81(+50 pts)
Hospital: Reported readmission_rate for 2025-12 is 13.0%, but recomputed value from raw events is 12.3%. Discrepancy of +5.7%.
BayesIQ's audit surfaced 3 findings and enabled targeted remediation that improved the reliability score from 31 to 81.
Board approved CMS compliance filing based on overstated readmission rate — potential $500K+ penalty exposure
Reported
13.0%
readmission rate · 2025-12
Audited
12.3%
Overstated 5.7%
Decision Exposure
Board approved CMS compliance filing based on overstated readmission rate — potential $500K+ penalty exposure
Reported readmission_rate for 2025-12 is 13.0%, but recomputed value from raw events is 12.3%. Discrepancy of +5.7%.
BayesIQ Data Reliability Audit
Hospital
Audit Period: December 2025
Reliability Score
Good — some issues need attention
Illustrative example — representative of BayesIQ audit deliverables
BayesIQ audits a healthcare organization's patient data infrastructure across readmission tracking, patient identity matching, and outcome reporting. The audit identifies 3 material discrepancies — including 50 near-duplicate patient records inflating aggregations and null patient IDs breaking downstream filters — directly affecting board-reported readmission metrics. After targeted remediation, the reliability score improves from 31 to 81 and the readmission rate discrepancy narrows from 5.7% to within acceptable tolerance.
Key Metrics: Reported vs Audited
| Metric | Period | Reported | Audited | Delta |
|---|---|---|---|---|
| readmission_rate | 2025-12 | 13.0% | 12.3% | overstated 5.7% |
Top Findings
readmission_rate misreported for 2025-12 (off by +5.7%)
Board approved CMS compliance filing based on overstated readmission rate — potential $500K+ penalty exposure
Near-duplicate rows detected
50 duplicate patient records inflating readmission counts, distorting quality metrics reported to CMS
50 rows affected
Null values in required column: patient_id
25 records missing patient_id — these patients are invisible to outcome tracking and compliance reporting
25 rows affected
Recommended Actions
- 1
Investigate duplicate records. Add dedup logic keyed on non-key fields.
Owner: Data Engineering|Effort: Mediumhigh - 2
Fix null values in required column 'patient_id' at the source.
Owner: Data Engineering|Effort: Mediumhigh - 3
Investigate root cause of readmission_rate discrepancy for 2025-12. Check for duplicate events, missing data, or filter logic differences.
Owner: Data Engineering|Effort: Smallmedium
Deliverables
Why this matters
readmission_rate misreported for 2025-12 (off by +5.7%)
mediumBoard approved CMS compliance filing based on overstated readmission rate — potential $500K+ penalty exposure
Near-duplicate rows detected
high50 duplicate patient records inflating readmission counts, distorting quality metrics reported to CMS
Null values in required column: patient_id
high25 records missing patient_id — these patients are invisible to outcome tracking and compliance reporting
What working with BayesIQ looks like
Discovery
3 findings identified
Remediation
Data Engineering resolved key issues
Steady State
Metrics verified and trustworthy
Your Data
This could be your story
What makes BayesIQ different
Findings connected to business meaning
Operational and executive surfaces produced
Remediation governed and tracked
Evidence and decisions preserved
Metric confidence legible over time
Book a Healthcare Data Diagnostic
A focused $7,500 engagement. We audit your hospital data, score your metrics, and deliver a remediation roadmap in 2 weeks.
Book a diagnosticMonthly Metric Reliability Program
Ongoing monitoring, governed corrections, and executive-ready reporting. Starting at $2,500/month.
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