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What an agent could do
Coordinate appointments, follow-up, and competing requests for limited capacity.
The decision underneath
Who sets patient-prioritization rules, and when must a clinician intervene?
01
Where most ideas start
"Use AI to improve patient outcomes."
✕ Too vague
Make it specific
02
A workable use case
We want an agent to identify overdue follow-up after an abnormal test result, check appointment and specialist availability, and coordinate outreach to the care team before the patient is lost to follow-up.
Measure it
03
How you'll know it works
If the agent really helps, these numbers should change. Measure them before it goes live, then again after:
Time to clinical follow-up; unresolved referrals; missed appointments.
Then decide
04
The decision to make first
May it prioritize patients for scarce appointments or contact them directly? Which decisions require a clinician?
Settle this before the agent goes live, not after.
Your turn
05
Pick a business problem in your organization that is expensive, slow, risky or frustrating. Then work through these four questions, as in the workshop:
1
What business problem are we solving?
2
Who would sponsor this, and why?
3
What measurable business result should change?
4
What would make this difficult to scale here?
Quick test: task or decision?
Is this only a task you want AI to perform, or a business decision you want an agent to help make or execute?