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Biomedical Analytics

Healthcare data is broken.
We fix it.

Every EHR, clearinghouse, and payer runs on its own silo. Metrics mean different things to different teams. Decisions get made on last month's exports. nexobi ends that.

See it in 30 minutes → Explore the platform
The Problem

Three things holding
your organization back.

Q3 CLAIM DENIAL RATE Three teams. Three sources. Three answers. FINANCE Finance System 31% ↑ worsening Updated Oct 3 CLINICAL OPS Clinical System 24% ↓ improving Updated Sep 28 REV CYCLE Payer Portal 18% — stable Updated Oct 1 Which number goes in the board deck?
01  Fragmented Data

No single truth.
Just conflicting numbers.

Your EHR, clearinghouse, and payer portals each hold a piece of the picture. Finance, ops, and clinical are all working from different numbers. No one agrees, and reconciliation eats weeks.

Q3 BUDGET PLANNING CYCLE Jul Aug Sep Oct Decision Window closes waiting on IT... Report arrives 5.5 weeks late Decision gap: ~8 weeks
02  Decisions Made Too Late

By the time it lands,
the window has closed.

Denial trends get spotted at month end. Revenue leakage compounds quietly. Decisions happen on intuition, not data. The window to act is gone before the report even arrives.

C CFO: "What are our denial rates?" Day 0 — request sent to IT IT Ticket #4,821 created Queued behind 23 other requests 3w 3–4 weeks pass Data extracted, cleaned, modeled, reviewed ✕ Decision made 2 weeks ago CFO used last quarter's spreadsheet instead W1 W2–5 W6
03  Locked Behind IT

Built for engineers,
not the people who lead.

Custom analytics projects take months and cost hundreds of thousands. The CFO still opens a spreadsheet. The CMO still asks IT for a query. The COO still waits for the weekly deck.

The Financial Reality

The cost of bad data
is measured in millions.

Healthcare organizations lose revenue every day to fragmented data, late analytics, and decisions made on last month's exports. These are not edge cases. They are the operating baseline for most health systems.

up to 5%
of net patient revenue lost to final claim denials
HFMA benchmark. Most preventable with real time claims analytics.
$2M–$5M
estimated recoverable revenue for a mid-size facility
Based on HFMA's 3–5% revenue leakage benchmark applied to mid-size hospital net revenue.
up to 80%
of analytics team time spent on data prep, not analysis
IDC, 2018. nexobi reclaims that time so analysts focus on insight.
Measurable Outcomes

Three outcomes,
measurable from day one.

Denials caught before submission

AI models flag prior auth gaps, eligibility mismatches, and coding anomalies before the claim leaves your system. 20–40% reduction in preventable denial rate.

Revenue leakage recovered

Underpayments and missed secondary billing surfaced automatically. nexobi compares expected vs. actual reimbursement across every payer and flags variances for follow up.

Leaders decide in real time

Every executive gets a live, governed view built for their role. No weekly decks, no IT requests, no waiting. The CFO, COO, and CMO all work from the same data, right now.

Ready to see the difference
governed data makes?

30 minute live session. Your data, your KPIs, no slides.

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