AI use cases by industry
AI use cases for healthcare and clinics
Clinics carry a heavy documentation load, and every one of these ideas has to sit inside your privacy rules. AI use cases for clinics and practices.
Idea Every entry here is an idea: a realistic way AI could help, not a claim about work we’ve done.
6 of 51 use cases
- Idea
Insurance pre-authorisation letters
AI drafts the pre-authorisation letter from the chart in the insurer's format. A clinician reviews and signs it.
- Idea
Intake form summaries before the visit
AI summarises a long intake form into what the clinician needs before the visit. Only in a tool approved for health information.
- Idea
Patient education handouts
AI drafts plain-language handouts on common conditions or aftercare in the clinic's style. A clinician approves every handout before it's used.
- Idea
Referral and patient letters
AI drafts referral letters and routine patient letters from the chart summary, in the clinic's format. A clinician reads and signs every one.
- Idea
Sorting the clinic's general inbox
AI reads messages in the general inbox and sorts them by what they're about, like bookings, records requests or billing, so the right person sees them first. Anything clinical goes straight to a person.
- Idea
Visit notes drafted from dictation
AI drafts the visit note from the clinician's dictation for them to review and sign. Only in a tool approved for health information; never in a free chatbot.
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How to read this list
Every entry is the same deal: AI takes the low-value work, and a person keeps the judgment. Not every task should go to AI, either. If a job follows fixed rules, an ordinary automation usually does it cheaper and more reliably, and we’ll say so when that’s the case.
The list is tool-neutral and it keeps growing. Want to talk through which of these fit your team? Get in touch.
Further reading
- Google Cloud: real-world generative AI use cases (large enterprises, mostly)
- Microsoft Scenario Library (scenarios by department, Microsoft tools)