Free checklist for health system data, IT, and digital leaders

Is your patient data ready for AI?

45% of large hospitals report difficulty identifying the same patient across systems, according to the GAO. That gap follows the patient into every model, every dashboard, and every AI initiative built on that data.

This checklist shows where identity gaps will undercut your next AI or analytics investment, so you can close them before you fund it.

Inside: 20 checks across five sections
01Strategy and ownership
02Data coverage
03Matching accuracy
04Governance and AI
05Growth and M&A
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How ready is your foundation?

Mark each section in place or not yet. The full checklist goes four checks deep on every one.

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1
Strategy and ownership
A single executive owns enterprise identity data, not just IT.
2
Data coverage across systems
Your CRM and clinical system agree on who your active patients are.
3
Duplicate and matching accuracy
Someone is actively working your potential-duplicate queue.
4
Governance and AI readiness
Duplicate records are flagged before they reach an AI pipeline, not after.
5
Growth and change readiness
You can absorb a new data source in weeks, not months.
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45%
of large hospitals report difficulty identifying the same patient across systems
Source: GAO
$17B
in denied claims yearly. Identity and eligibility mismatches are a common contributor.
Source: Change Healthcare
~90%
of health system leaders call digital and AI transformation a high or top priority
Source: McKinsey

You can't get a patient's identity wrong. This is the concrete you pour to lay the foundation for digital transformation at scale.

Senior director of HIE and data interoperability, a leading nonprofit health system