Healthcare
Your clinical metrics are only as good as your data pipeline.
Healthcare data teams face regulatory reporting deadlines, compliance constraints on data access, and analytics pipelines that span EMRs, data warehouses, and patient-facing applications. When those pipelines drift, the metrics drift with them — silently. The Audit Kit gives you a scored, reproducible evaluation of your clinical data pipeline so you can find the problems before they reach a report.
Healthcare failure patterns the Audit Kit detects
Healthcare data pipelines break in predictable ways. These are the failure patterns we find most often — and how the Audit Kit surfaces each one.
Clinical metrics don't reconcile
Your EMR data says one thing, your analytics dashboard says another. Readmission rates, patient volume, and outcome metrics diverge across systems. The Audit Kit flags these discrepancies through metric validation — comparing source-system figures against downstream calculations so you can see exactly where numbers split.
Regulatory reporting built on unvalidated data
Quality measures for CMS, Joint Commission, or payer contracts are computed from pipelines nobody has audited. The Audit Kit produces a scored audit report (0-100) that catches data completeness issues, schema drift, and transformation errors before they reach a regulatory submission.
Telemetry gaps in patient-facing digital tools
Patient portals, scheduling apps, and telehealth platforms emit events — but required fields are missing, sessions aren't stitched, and engagement metrics are unreliable. The Audit Kit's schema profiling detects null rates, field coverage gaps, and type inconsistencies across your event stream.
Pipeline failures discovered by stakeholders, not alerts
A clinical operations lead notices a stale dashboard or a report that doesn't match last month's format. The Audit Kit ships a dbt project with 40+ tests — uniqueness, referential integrity, accepted values, recency — that catch regressions automatically before anyone opens a Slack thread.
What the Audit Kit delivers for healthcare
Four concrete artifacts, configured for your clinical data pipeline and ready to use from day one.
Scored audit of your clinical data pipeline
A 0-100 score across completeness, freshness, schema conformance, and metric consistency. Not a vague maturity assessment — a quantified evaluation of your pipeline's current state with specific findings ranked by severity.
dbt project with staging models, schema tests, and canonicalization
Auto-generated dbt models that handle deduplication, type casting, and clinical data normalization for your warehouse. 40+ schema tests covering nulls, uniqueness, referential integrity, and accepted values — configured for your actual tables, not generic templates.
Streamlit dashboard for clinical metric exploration
An interactive dashboard your team can use to explore clinical, operational, and quality metrics. Filter by facility, time period, or encounter type. Drill into the specific rows behind any metric to verify what the numbers actually represent.
ASSUMPTIONS.md documenting data contracts for compliance
A plain-language document capturing every assumption the pipeline makes: which fields are required, what constitutes a valid encounter, how duplicates are resolved. Useful for compliance reviews, onboarding new analysts, and auditing your own metric definitions.
Results from a recent healthcare engagement
340
Patients double-counted
14.2% → 11.8%
Corrected readmission rate
44 → 82
Reliability score improvement
A regional health system found 340 patients double-counted in readmission metrics due to inconsistent patient ID formatting across clinics. The reported readmission rate dropped from 14.2% to 11.8% after deduplication.
Read the full case study →How we work with healthcare organizations
No PHI access required
Most data quality issues are structural — schema drift, null fields, broken joins. The Audit Kit evaluates the shape and completeness of your data, not the clinical content. We don't need PHI access for the majority of our work.
Read-only, async engagement
We work from read-only access to your warehouse or aggregated exports. No production changes, no standing access, no disruption to clinical workflows.
Healthcare-aware audit framework
The Audit Kit understands HL7/FHIR event structures, EMR-to-warehouse pipelines, and the specific ways clinical data drifts. It accounts for encounter-based data models, not just SaaS event streams.
Compliance and risk support
Our work can improve the auditability and traceability of your analytics pipelines, helping reduce risk around regulatory reporting. We support your compliance posture — we do not provide legal, regulatory, or compliance guarantees.
Not sure if you need an audit? Take the 2-minute self-assessment →
Engagements start at $7.5K for a one-week diagnostic. See all engagement tiers →
One healthcare audit found 340 patients double-counted. What would yours find?
Book a one-week diagnostic to score your clinical data pipeline and surface the issues that matter most.
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