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Procurement-Ready Documentation for Clinical AI

The packet a health system needs in order to evaluate a clinical AI product, listed by which reviewer consumes each document. Useful from either side of the transaction.

Updated September 18, 2026

The short answer

A procurement-ready packet for clinical AI contains eleven documents: intended use statement, validation summary, security attestation, data flow diagram, subcontractor list, signable Business Associate Agreement, integration specification, model change management terms, monitoring and support description, total cost model, and reference customers. Vendors should assemble it before the first meeting. Buyers should request it before agreeing to one.

Explained at three levels

1 Plain English

There is a standard stack of paperwork every hospital will eventually ask a technology vendor for. It is roughly the same stack every time. Having it ready in advance turns a nine-month evaluation into a three-month one, because each internal reviewer can start immediately instead of waiting for a document request to be answered.

2 Informed buyer

The reason this compresses the timeline is structural rather than cosmetic. Most of the delay in health system evaluation is serial handoffs: a reviewer asks for something, waits, reviews, hands to the next reviewer, who asks for something else. A complete packet converts a serial process into a parallel one.

3 Technical and professional detail

Two documents do more work than the rest. The data flow diagram answers most privacy and security questions before they are asked, in a form the reviewer can verify. The integration specification, if it names the standard, version, resources, direction, and required EHR vendor program participation, prevents the scope discovery that normally happens six weeks into implementation.

The eleven documents

1. Intended use statement

Consumed by: clinical sponsor, informatics, governance.

What the product does, what it does not do, which clinical decision it touches, whether output is advisory or actioning, and where the clinician sits in the loop. One page. Ambiguity here propagates into every later document.

2. Validation summary

Consumed by: informatics, governance, clinical sponsor.

Development population, validation population, whether validation was external, performance measures with operating thresholds, subgroup analysis, and the citation or study report itself rather than a summary slide.

3. Security attestation package

Consumed by: information security.

Current SOC 2 Type II with scope section, HITRUST if held with assessment type, penetration testing summary, and breach history.

4. Data flow diagram

Consumed by: information security, privacy.

What data leaves the organization, where it goes, where it rests, who can access it, how long it is retained, and whether it trains anything. A diagram, not prose. It answers faster and it can be checked.

5. Subcontractor and sub-processor list

Consumed by: information security, privacy, legal.

Every downstream party that touches organizational data, including cloud infrastructure and any model providers. Frequently requested, frequently unavailable on request, and the delay is always visible.

6. Business Associate Agreement

Consumed by: legal, privacy.

A signable template, not a promise to produce one. See BAA.

7. Integration specification

Consumed by: informatics, integration team, finance.

Standard, version, resources, direction, authentication, whether in-context launch is used, whether EHR vendor program participation is required and its status, expected analyst hours, and elapsed timeline. See EHR integration.

8. Model change management terms

Consumed by: governance, informatics, legal.

Update cadence, notification commitment, ability to defer, revalidation expectations, version history, rollback. This belongs in the contract, not in a support policy that can change.

9. Monitoring and support description

Consumed by: governance, informatics, operations.

What performance data the vendor supplies, whether the organization can monitor independently on its own data, drift detection, alerting, support model, and commitments if performance degrades.

10. Total cost model

Consumed by: finance, value analysis.

Multi-year, including implementation, interfaces, internal staffing, training, and ongoing monitoring effort. See total cost of ownership.

11. Reference customers

Consumed by: clinical sponsor, informatics.

Organizations of comparable size, running a comparable EHR version and integration model, ideally including one that has been live long enough to have experienced a model update. See reference checks.

If you are the buyer

Request the packet before scheduling the demonstration, and say plainly that you are doing so to run your reviews in parallel rather than as a gate.

What arrives tells you a great deal. Completeness in days indicates a vendor that has been through health system procurement. Three weeks and a missing subcontractor list indicates one that has not, which is not disqualifying but is a schedule input.

If you are the vendor

Assemble it once, keep it current, and volunteer it. This is the single highest-return preparation in healthcare sales, and it is unglamorous enough that most competitors have not done it.

It also arms your clinical champion, who is writing the internal submission in rooms you are not in, out of whatever material you gave them.

Where this goes next

Topics: procurement, documentation, clinical ai, evaluation

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