A mid-sized diagnostics and clinical services provider unified its data with LakeStack, eliminating 11 months of engineering efforts.
Customer overview
Industry and customer challenges
Healthcare organizations managing diagnostic and outpatient workflows often operate across disconnected EHR exports, CRM tools, and manual reporting systems. As locations grow, these disconnected processes make it difficult to maintain timely clinical visibility. Our customer was facing the same challenges:
1. Slow clinical & operational reporting cycles
Monthly reports took 4–7 days due to manual data pulls and consolidation.
2. BI bottlenecks limiting leadership visibility
A small team of 1-2 analysts became a single point of dependency for every dashboard.
3. No internal data engineering capacity
Any new report or dashboard required weeks of iteration with external or BI support.
4. Manual compliance workflows
HIPAA reporting required repetitive merging of CSVs, PDFs, and EHR extracts.
5. No real-time operational visibility
Leadership lacked an up-to-date view of patient throughput, delays, and clinical activity.
How LakeStack helped
LakeStack was fully implemented in just 12 days, creating a unified clinical data foundation across ingestion, modeling, governance, and reporting. All without requiring internal engineering effort.
LakeStack combined EHR CSV exports, CRM entries, and billing records into a single FHIR-lite harmonized model.
Clinical files, operational exports, and structured datasets were ingested automatically, eliminating manual consolidation.
Dashboards surfaced real-time insights into patient throughput, workflow delays, visit volumes, and revenue trends.
Audit trails, structured access, and role-based visibility provided HIPAA-aligned data handling out of the box.
With Ask and Act NLQ, leaders could instantly query clinical data using questions like: “Show today’s throughput delays.” “Which locations had the highest patient volume?”
Success metrics
- 11 months of engineering effort eliminated.
- 70% reduction in BI backlog.
- Reporting cycles cut from 5 days to under 2 hours.
- Compliance reporting fully automated (HIPAA-aligned).
- AI-ready data foundation delivered with zero new engineering hires.
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