The approach

A discipline,
not a dashboard.

Pathque does not sell software. It practices a form of medicine — the quiet, accountable kind the clinical laboratory has practiced for sixty years — and applies it to artificial intelligence in deployment.

§ Pathque  ·  Approach


I.  Inheritance

What we borrow from the laboratory.

Clinical laboratories have spent decades refining the unglamorous art of trusting an instrument they did not build. A new analyzer arrives. The manufacturer publishes validation. The laboratory reads it, accepts none of it at face value, and runs its own studies on its own patient population, with its own staff, using its own samples. Only then does the instrument go into service. And even then, it is tested again every day, by people whose reputations and licenses are attached to the result.

This is the posture Pathque brings to clinical AI: not suspicion, not enthusiasm, but the practiced middle ground of a profession that has been asked to be responsible for tools it did not invent.

II.  Posture

Vendor-neutral. Physician-accountable.

We do not resell tools. We do not partner with platforms. We do not take referral fees. The work is paid for by the institution that hires us, and that institution is our only client on the engagement.

Every recommendation we make is made in writing, over a physician's signature, to a named clinical leader who can act on it. If a tool should be paused, we say so in writing. If a tool should be kept, we say so in writing. The work is intended to be boring, consistent, and defensible — the opposite of a dashboard.

III.  Rhythm

Continuous, not episodic.

Most governance work in healthcare is done once, filed, and forgotten. Ours is not. An engagement begins with a scoping conversation, proceeds to an inventory of the AI already in use at the institution, and then settles into a quarterly rhythm: review, attestation, and a short, plainspoken written report to the quality committee.

The cadence is deliberately modest. We are trying to fit inside the work your institution already does, not to invent a new obligation for it.

IV.  Outcomes

What you will actually have.

By the end of the first quarter, your institution will have a single, current inventory of every artificial-intelligence tool in clinical use, an assessment of each against its intended use, a quarterly reporting line that feeds your existing quality apparatus, and an attestation — signed by a physician — that can be produced for a board, a regulator, or an accreditor without embarrassment.

What you will not have is a new platform to log into, a new committee to staff, or a new vendor relationship to manage. Those were never the point.

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