Clinical Dataset Data Quality Audit
845.7K audited rows across 3 clinical domains • 5 rule families • issue-heavy domains concentrated in vitals and labs
Total Rows Audited
845.7K
3 linked domains
Rule Breaches
135.7K
Vitals drive 66.8% of issues
Rows With Any Flag
61.9K
7.32% overall row rate
Completeness & Coverage
100%
0 missing / temporal flags
Audit framing
How to read these flags
- Flags represent rule-based review conditions, not necessarily impossible clinical values.
- Out-of-bounds checks use operational guardrails; cross-field checks emphasize oxygen-device logic, alert coverage, and event labeling consistency.
- The expected intermediate JSON was absent at build time, so the report payload was reconstructed locally from the three clinical CSVs and serialized to dq_report.json before visualization.
MissingnessCategorical validityOut-of-boundsCross-field consistencyTemporal alignment
What stands out
Key findings from the audit
- No missingness, categorical-validity, or temporal-coverage gaps were flagged in the reconstructed audit payload.
- Vitals contribute 66.8% of all rule breaches and show the highest affected-row rate at 9.58%.
- The largest review thresholds are low oxygen saturation (5.15%), elevated lactate (5.00%), and low systolic blood pressure (4.46%).
- Issue rates rise late in the stay, peaking at hour 71 for vitals (28.67%) and hour 68 for labs (17.21%).
Highest-burden domain
Vitals (9.58%)
Peak hourly vitals rate
Hour 71 · 28.67%
Domain overview: affected-row rate and issue volume
Anomaly-rate heatmap by domain and check family
Issue-count composition by domain
Largest rule-level drivers
Highest-burden patients: issue concentration versus baseline risk
Hourly issue-rate trend across time-series domains
Top patients by total flagged rows
| Patient | Admission | Age | LOS | Baseline risk | Deterioration | Vital issues | Lab issues | Total |
|---|---|---|---|---|---|---|---|---|
| 220 | Transfer | 83 | 71h | 0.809 | Event | 70 | 50 | 120 |
| 3878 | Elective | 35 | 70h | 0.714 | Event | 67 | 53 | 120 |
| 3991 | Elective | 73 | 72h | 0.840 | Event | 58 | 56 | 114 |
| 4369 | Transfer | 85 | 68h | 0.715 | Event | 55 | 54 | 109 |
| 9759 | Elective | 82 | 72h | 0.363 | Event | 58 | 50 | 108 |
| 638 | ED | 39 | 69h | 0.433 | Event | 56 | 52 | 108 |
| 5784 | Transfer | 89 | 68h | 0.590 | Event | 56 | 52 | 108 |
| 4108 | ED | 79 | 72h | 0.387 | Event | 55 | 52 | 107 |
| 7907 | Elective | 72 | 70h | 0.644 | Event | 55 | 52 | 107 |
| 4349 | ED | 73 | 69h | 0.830 | Event | 54 | 52 | 106 |