Case Study

From days of spreadsheets to minutes of clarity

How a 7-center ASC network in Southern California discovered $216K+ in hidden revenue at risk and replaced days of manual reconciliation with automated intelligence.

7Surgery Centers
55+Physicians
300+Payers
12+Monthly Reports

The problem: a monthly data nightmare

The data existed. The insights were locked inside messy files, manual processes, and institutional memory.

Days of Manual Reconciliation

Every month, the billing lead pulled 12+ reports from their practice management system, then spent days stitching them into a 615-row Excel dashboard by hand.

Authorization Rules Lived in Someone's Head

Which payers require authorization? Which are exempt? This tribal knowledge existed only as institutional memory — one resignation away from lost revenue.

Revenue Leaks No One Could See

Cases where costs exceeded contract fees, CPT mismatches creating silent denial risk, aging AR with no early warning — all invisible without systematic detection.

Cross-Center Blind Spots

Seven centers running the same procedures at different cost profiles, but comparing them required manual extraction and side-by-side spreadsheet analysis.

“The real cost wasn’t the hours spent — it was what they couldn’t see.

What LyzeData delivered

From messy file uploads to automated revenue intelligence — in under two weeks.

12 Automated Anomaly Rules

Cases losing money, staffing cost outliers, CPT mismatches, missing authorizations, and 8 more — each flagged with severity and dollar impact. Replaced manual eyeballing entirely.

Authorization Rules Engine

Auth rules described in plain English — "HMO always needs auth. PPO Blue Cross doesn't." — codified permanently into the system. No more denials from lost institutional knowledge.

Dollar-Quantified KPIs

Authorization Compliance at 82% ($164,500 at risk). CPT Mismatch Rate at 7.4% ($52,325 at risk). Every gap priced, every metric benchmarked against industry data.

9-Metric Operational Dashboard

Case-level profitability, revenue by provider, cost per case, cancellation rates, OR utilization, cross-center benchmarking — all calculated automatically with drill-down.

Full Formula Transparency

Every anomaly and KPI shows its logic in three layers: clickable formula view, plain-English description, and exact SQL query. No black boxes.

The impact

$0K+
Revenue at Risk Identified
0
Anomaly Detection Rules
0
Automated KPI Metrics
0
Centers Benchmarked

The timeline

Before
Before LyzeData

Days of manual work

12+ reports pulled, cleaned, stitched into a 615-row spreadsheet. Anomalies caught by eyeballing. Cross-center comparison by hand.

Week
Week 1

Data onboarding

Files uploaded, columns mapped to healthcare concepts, datasets classified. Encrypted and HIPAA-compliant from first upload.

Week
Week 2

First findings

12 anomaly rules running. $216K+ in revenue at risk surfaced. Auth rules codified. KPIs configured and benchmarked.

Ongoing
Ongoing

Minutes, not days

Upload monthly files. Review automated findings. Track improvement over time. One-click reports with cross-center intelligence.

“Data quality gaps have a price.
LyzeData makes that price visible — so you can stop paying it.”

Your data has the same story hiding in it.

30-minute onboarding call. We load your data. You see your first findings.

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