What We Diagnose
Eight deliverables.One connective layer.
Every Prexisio deliverable is built to answer a specific question your current systems cannot answer on their own. Not because the data does not exist — but because it lives across systems that have never been connected.
Why these deliverables require a layer your systems do not have
Your EMR, your ASC platform, and your billing system each assign a different patient ID to the same person. Cross-system analysis — the kind that answers why your cancellation rate is 28% — requires resolving those identities into one record before running a single query.
Prexisio builds that bridge first. Every deliverable below runs on top of it. None of them are possible without it.
Integy (EMR)
Scheduling, appointments, referrals, diagnoses, charges
Appointment
Encounter
HST Pathways (ASC)
Surgical records, clinical timing, billing, ERA payments
t_visit
t_visitclinical
Billing Systems
Claims, ERA payments, payer remittance, contract data
ERAPayment
EdiInsuranceCoverage
Patient Identity Bridge
Cross-system patient matching — the layer that makes everything else possible
Integy PersonNumber ↔ HST PatientID
DOB + LastName + FirstNameInitial match
The eight deliverables
Each deliverable is built on verified field names from your live systems — not assumed. Every query is documented. Every number is sourced.
Scheduled-to-Perform Funnel
Monthly cohort analysis of every case scheduled — how many were performed, cancelled, rescheduled, or no-showed. Tracked across all locations with 12-month trend.
The question this answers
“Of every surgery we scheduled this month, how many actually happened and why?”
Cancellation Root Cause Report
Full decomposition of every cancellation by window (48-hour, 24-hour, date-of-service), location, referral source, payer, provider, and reason code. Revenue impact calculated per segment.
The question this answers
“Which locations, referral sources, and payers are driving our cancellation rate — and what is each one costing us?”
Prior Authorization Risk Dashboard
Forward-looking view of all surgeries scheduled in the next 30 days mapped to prior authorization status. Cases at risk of 48-hour cancellation flagged as CRITICAL.
The question this answers
“Which surgeries scheduled in the next 30 days are at risk of cancellation because prior auth has not been confirmed?”
Patient Flow Bottleneck Dashboard
Stage-by-stage patient journey timing from arrival to discharge. Bottleneck identification by stage and location. New vs. established patient split. Best-performing location benchmarked.
The question this answers
“Where in the patient journey are we losing the most time — and which locations are doing it better?”
OR Utilization Intelligence
First case start variance, turnover times, block utilization rate, and revenue capacity analysis. Identifies how much revenue capacity is sitting idle in the current schedule.
The question this answers
“How much OR revenue capacity is sitting idle — and where specifically is it being lost?”
Referral Source Intelligence
Volume, cancellation rate, and net revenue per case by referring provider and referral source. Identifies which relationships produce high-margin, low-cancellation cases vs. which are costing the organization.
The question this answers
“Which referral sources produce the best cases — and which are quietly driving our cancellation rate?”
Revenue Integrity Report
Contract vs. paid reconciliation across all active payers. Underpayment identification ranked by dollar amount. Denial analysis by CPT code. Open claims aging. Prioritized appeal list for the billing team.
The question this answers
“Are our payers paying what our contracts say they owe — and how much is the gap?”
Payer Mix Profitability
Net revenue per case by payer, CPT code, and location. Collection rate analysis. Payer mix trend. Strategic view for contract renewal conversations and BD allocation decisions.
The question this answers
“Which payer relationships are profitable — and which are subsidizing the organization's losses?”
How the deliverables connect to each other
D1 is the foundation. The scheduled-to-perform funnel produces the cohort that every other cancellation deliverable references. D2 decomposes the cancellations D1 identifies. D3 predicts future cancellations before they happen.
D6 connects referral source quality to the cancellation data in D2 — showing which referring providers are sending cases that cancel at twice the organizational average.
D7 and D8 complete the picture by reconciling what the organization collected against what it was owed — closing the loop from operational performance to financial outcome.
D1 feeds
D2, D3, D6 — all cancellation and referral analysis references the D1 cohort
D2 + D3 together
Retrospective (what cancelled) + prospective (what is about to cancel) — the complete cancellation picture
D4 + D5 together
Patient flow into OR (D4) + OR efficiency once in (D5) — the complete operational flow picture
D6 connects to D2
Referral source quality overlaid on cancellation rate — shows which relationships are profitable and which are driving the rate
D7 + D8 complete
What payers owe (D7) + which payers are worth keeping (D8) — the complete revenue integrity picture
How we deliver
Every deliverable follows the same production standard before anything reaches a client.
Field verification first
Every table name, field name, and filter value is confirmed against your live system before the first production query runs.
28-point QC checklist
Data integrity, logic and calculation, client-facing content, and security — all checked before anything leaves Prexisio.
Delivered by the 3rd
Monthly package delivered by the 3rd of each month for the prior month's data. Prior auth dashboard refreshed every Monday.
Dollar amount on every finding
No finding is delivered without a quantified revenue number. Not a range. Not a benchmark. The number for your organization.
Ready to see what your data actually shows?
The diagnostic starts with a 45-minute conversation. Eleven questions. One specific dollar amount from your actual data. First findings in 30 days.