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Biomedical Analytics

Health systems generate
extraordinary data.
We help you use it.

Siloed systems. Inconsistent metrics. Delayed decisions. Nexobi builds the layer that unifies all of it.

See it in 30 minutes → Explore the platform
The Problem

Three friction points
every health system shares.

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

Every team is working from
a different version of the numbers.

Your EHR, clearinghouse, and payer portals each hold a piece of the picture. Finance, ops, and clinical are all working from different numbers. Teams cannot reconcile, and the effort 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. Without a shared data layer, decisions default to whoever has the latest report. The window to act is gone before the analysis lands.

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.
Outcome 01
Denials Caught Before Submission

Nexobi flags prior auth gaps, eligibility mismatches, and coding anomalies before the claim leaves your system. Clients typically see a measurable reduction in preventable denial rates within the first billing cycle.

Outcome 02
Revenue Leakage Recovered

Underpayments and missed secondary billing are surfaced through Nexobi's reconciliation layer. Expected versus actual reimbursement is tracked across every payer, with variances flagged for your team to act on.

Outcome 03
Leaders Decide in Real Time

Every executive gets a live, governed view built for their role. The CFO, COO, and CMO all work from the same source of truth, updated continuously.

See what governed data
looks like in your environment.

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

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