Examples
Seven examples of AI in healthcare, from imaging and visit notes to phone calls, scheduling, prior authorization and billing. Each shows what the AI does and where a person stays in charge.
Updated 5 min read
The short answer
The clearest AI in healthcare examples fall into two groups: clinical support, such as imaging and visit notes, and operations, such as calls, scheduling, prior authorization and billing. In every one, AI prepares or flags the work and a person makes the final decision.
Key points
Examples
Two groups: tools that support care decisions, and tools that remove paperwork around them.
Imaging
AI-enabled medical devices analyze large, complex datasets such as scans and surface patterns. A clinician reviews every flag and makes the diagnosis.
Read the case →Visit notes
AI turns the visit into a draft note and suggests billing codes. The physician edits and signs it before it enters the chart.
66%of surveyed physicians used health AI in 2024
Care plans
AI drafts discharge instructions, care plans and progress notes from the record. Staff check them for accuracy before the patient receives them.
Phones
A voice agent answers patient calls, answers common questions and books visits into the calendar. Complex or urgent calls go straight to staff.
Read the case →Scheduling
AI fills open slots, sends reminders and reschedules cancellations. It is one of the most common examples of automation in healthcare.
Prior authorization
AI gathers the clinical notes and forms a payer asks for, checks them for gaps and assembles the request. Staff review the packet before it goes out.
Billing
AI reads documents, matches codes to the visit and flags likely errors. Billers fix the exceptions instead of checking every claim.
Read the case →In the American Medical Association’s 2024 physician survey, about two-thirds said they use health AI.
They reported using it for billing codes, visit notes, discharge instructions, care plans, translation and assistive diagnosis.
The FDA says AI-enabled medical devices can identify patterns that may support disease detection, diagnosis and treatment.
The agency keeps a public list of authorized AI-enabled devices and updates it periodically. For clinical tools, check that list first.
Drafting is where generative AI shows up most. Visit notes, discharge instructions and patient messages all start as a draft.
The rule is simple: nothing reaches a chart or a patient without a person reading it. For more on this pattern, see generative AI examples.
Operations is usually the easier first step. Calls, scheduling and billing follow clear rules and are easy to measure.
Count the hours your team spends on each task, then rank them. Our healthcare AI guide walks through the steps.
Keep people in charge of every diagnosis, every clinical note and every patient-facing decision.
Use AI for the preparation: drafts, checks, sorting and reminders. Review sample outputs often so errors show up early.
Our data
We asked ChatGPT, Gemini and Perplexity 10 buyer questions about AI for healthcare practices. They named 107 companies, and 70% appeared in only one of the three.
| Criterion | ChatGPT | Gemini | Perplexity |
|---|---|---|---|
| Companies named | 46 | 42 | 58 |
| Sites cited most | keragon.com (4 of 10) | keragon.com (4 of 10) | keragon.com (7 of 10) |
Nexum measurement, October 20, 2026, via DataForSEO: 10 buyer questions to each AI, US English, 30 answers in total. 7 companies appeared in all three. Google showed an AI Overview for 9 of the 10 questions.
FAQ
Final step
You leave knowing which processes to automate first and what each one costs you today, whether we work together or not.
You can keep paying for manual work, or find out this week exactly what it costs you.
What happens on the call
Before
You answer 3 quick questions when you book, so we come prepared.
On the call
We find the manual work that costs you most and put a number on it, live.
Decide
An honest read on whether we're the right fit. If we're not, you'll hear it on the call.
Once you book, we look at your site and tools before the call, so the 30 minutes go to your numbers, not introductions.
Prefer to write first? Email us directly: contact@nexumautomations.com
