Three things I share
with every health executive.
Before the next clinical AI deployment.
Context.
The recommendation
is only as good
as the data behind it.
Before go live
I ask the team one question.
Whether the model sees this patient.
Or a population
that is not this patient.
↳ Generic inputs.
↳ Generic recommendations.
↳ At the bedside, that is not clinical AI.
↳ That is clinical risk.
Trust.
The physician has to verify it.
Document it.
Defend it.
If no one can stand behind the output,
it does not reduce the load.
It adds to it.
↳ Trust is not a feature.
↳ It is a deployment requirement.
Accountability.
Every deployment
needs two named owners.
Before it goes live.
A Governance Owner
who approved the system.
A Decision Owner
who makes the call.
↳ Without both names,
↳ the gap is already open.
Context without trust.
Unverifiable outputs.
Trust without accountability.
Undocumented decisions.
Accountability without context.
The wrong recommendation,
the right paperwork.
All three. Every deployment. No exceptions.
You already know
which one
your institution is missing.
Mo Johnson, MD MBA is a cardiothoracic surgeon and the founder of GPe Research. Field Notes are short dispatches from the clinical AI accountability frontier, published alongside the MedicoVigilance™ newsletter at medicovigilance.org.
Follow the work on LinkedIn: linkedin.com/in/mo-johnson