Healthcare Integration / AI & Analytics
AI & Analytics

Analytics you can act on — built on data you can trust

Good analytics start with clean, interoperable data. We build population health, quality-measure, and utilization analytics on top of de-duplicated, normalized data — delivered as living products we keep current, not one-off reports.

200+Engineers across 4 offices
37+Enterprise clients delivered
ISO 27001& ISO 9001 certified
HIPAAAligned delivery & operation
The problem

Where health data analytics usually goes wrong

01

Garbage-in analytics

Insights built on duplicated patients and inconsistent codes that no one trusts.

02

Measure blind spots

Quality gaps discovered at reporting deadline instead of when they can be closed.

03

Reports, not products

Static decks that are out of date the moment they are delivered.

What we deliver

Analytics we build and operate

Measurable, current analytics for value-based care and operations.

01

Population health

Risk stratification and cohort analytics to target care management where it moves outcomes.

02

Quality measures

HEDIS, MIPS, and CMS measure calculation with gap lists clinicians can act on.

03

Utilization & cost

ED, readmission, and utilization analytics tied to cost for value-based contracts.

04

Value-based care

Attribution, benchmarking, and shared-savings analytics for ACO and payer contracts.

05

Clinical & operational KPIs

Throughput, access, and outcome dashboards for clinical and operational leaders.

06

Operated data products

Refreshed on schedule with quality checks — living products, not one-time reports.

How we deliver

Map, build, prove, operate

STEP 01

Define

Agree the measures, cohorts, and KPIs and the data quality bar they require.

STEP 02

Build

Develop analytics on normalized, de-duplicated data with transparent logic.

STEP 03

Validate

Reconcile measure results against specs and clinical review before release.

STEP 04

Operate

Refresh on schedule with quality monitoring so the analytics stay current and actionable.

Why 10decoders

An insight you cannot trust is worse than none. We start with the data quality.

The platform-only model

  • Analytics on whatever data exists
  • Measures re-computed by hand each cycle
  • Static reports go stale immediately
  • No owner when a number looks wrong

The 10decoders model

  • Built on de-duplicated, normalized data
  • Measures computed transparently and re-run on schedule
  • Living products refreshed under SLA
  • We own quality and investigate anomalies
200+
Engineers on staff
37+
Enterprise clients
4
Global delivery offices
ISO 27001 & 9001 certified
Talk to an engineer

Tell us what you need. We'll tell you how we'd build and run it.

A 30-minute working session with an engineer who does this work — not a sales rep.

Book a scoping session

thomas@10decoders.com · +1 786 756-6276

Talk to our CTO

Start with a thirty-minute conversation.

No 50-page proposals. We'll tell you which level fits your situation, what a realistic engagement looks like, and what it would cost — in one direct meeting.

Who you'll talk to
Thomas, CTO at 10decoders

Thomas

Chief Technology Officer

Connect on LinkedIn

Thomas leads 10decoders' AI engineering practice and sits in on the scoping call himself — so the person mapping your engagement is the one who has shipped it before. His teams build and deploy agents for mid-market healthcare and fintech companies, with enterprise grade build experience for clients like IBM, Dedalus and Harris Healthcare. He'll be straight with you about what's worth doing and what isn't.

200+
Engineers
37+
Global Clients
ISO
27001 / 9001
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