A practice can use AI to help draft patient education content, as long as the draft starts from the practice's approved material, no patient information goes into a tool without the right agreements in place, and a clinician reviews every clinical statement before it publishes. AI is useful for structure and plain language. It does not know what your clinicians recommend, and it should not be used to mass-produce pages.
The appeal is easy to see. A practice manager who has wanted a library of patient handouts for years can now produce a draft in minutes. The risk is just as easy to see: a fluent draft that reads as authoritative, describes care the practice does not provide, and sits on the website under the practice's name.
This is a content-operations article for practice owners and marketing leads. It is not clinical guidance and not legal advice on HIPAA. Review roles and review records are covered in our guide to who reviews health content before and after it goes live; this page covers whether to use AI at all, and how.
What AI drafting is good for
Google's guidance on generative AI content says "Generative AI can be particularly useful when researching a topic, and to add structure to original content." The phrase that matters is original content. A model can organize a clinician's recorded explanation into sections, suggest plainer wording for a dense paragraph, or turn a list of approved facts into a first draft of a handout.
What it cannot supply is the practice's own knowledge. Which patients your physical therapists see first, what your dentists discuss at a consultation, how your billing team answers a coverage question: none of that is in a model. A draft is not a source. If a sentence in the draft came from the model rather than from the practice, it needs a source before it stays.
Keep patient information out of the tool
The quickest way to make an AI draft feel specific is to paste in real patient questions, messages, or notes. That is also where HIPAA questions start. HHS's cloud computing guidance says "When a covered entity engages the services of a CSP to create, receive, maintain, or transmit ePHI on its behalf, the CSP is a business associate under HIPAA," and that the parties "must enter into a HIPAA-compliant business associate agreement (BAA)."
Whether a particular AI tool falls under that guidance is a question for your privacy officer. The safe content habit holds either way: draft from approved material that identifies no one. A de-identified list of the questions patients ask, collected the way our guide to what patients ask before booking describes, gives the draft real-world wording without carrying anyone's health information into the tool.
Plain language still needs a clinician
AI is good at shortening sentences and replacing jargon. NIH describes plain language as "grammatically correct language that includes complete sentence structure and accurate word usage," and says it "is not unprofessional writing or a method of 'dumbing down' or 'talking down' to the reader." Accurate word usage is the part a model can lose, since a simplified sentence can drop the condition that made the original correct.
Send the clinician the simplified version beside the original wording, not just the finished draft. For each changed sentence, ask a narrow question: "Does this still say what you meant, for the patients we see?" A reviewer comparing two versions can spot lost meaning more easily than one reading a polished page.
Google's guidance also says its review advice applies to metadata, such as title elements, meta descriptions, structured data, and image alt text. Those are easy to generate and easy to forget, so check them with the same care as the page.
Do not use AI to multiply pages
After the first good draft, the temptation is volume: one page per condition, per service, per town. Google warns that "using generative AI tools or other similar tools to generate many pages without adding value for users may violate" its spam policies. A practice does not need a hundred thin pages that repeat each other. It needs a smaller set that each answer a real question with the practice's own facts.
Voice matters here too. A library of handouts that all sound like the same generic model gives patients no sense of who they will meet. The writer, human or AI, should not have to invent how your clinicians talk or what they know; record it from them. Our article on AI content that still sounds like your business walks through starting from approved material, and Hudson Twenty-One is how Hudson South records a business's communication across 21 dimensions.
A fictional AI drafting workflow
Here is a hypothetical workflow for a fictional physical therapy practice in Wisconsin writing a handout on preparing for a first visit. It shows the division of work, not any real practice's process.
| Step | Input | Who | Role of AI |
|---|---|---|---|
| Gather | Recorded interview with the clinic director and the approved intake facts | Marketing lead | None |
| Draft | Interview transcript and fact list, with no patient information | Marketing lead | Organizes sections and suggests plainer wording |
| Check facts | Every statement traced to the interview or the fact list | Marketing lead | None; unsupported sentences are cut |
| Clinical review | Original and simplified wording side by side | Clinic director | None |
| Publish and date | Final page, review date, and named owner | Practice manager | None |
AI appears in one row. Everything around it is the practice supplying and checking its own knowledge. Google also suggests publishers "consider adding information on how your content was created in a way that makes sense for your audience." For patient education, a dated reviewer line often tells the reader more than a note about tools.
In Hudson South's process, AI drafting sits inside the last of four steps. The Authority Asset gathers the practice's approved knowledge and evidence, Hudson Twenty-One records how its clinicians communicate across 21 dimensions, Market Intelligence researches the questions patients ask, and AEO Creation turns those inputs into answer-first drafts. Clinical review of any draft still belongs to the practice. For the wider set of practice pages, see content for medical, dental and wellness practices.
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- Google Search's guidance on using generative AI content on your website. Google Search Central. Read 2026-10-15.
- Guidance on HIPAA & Cloud Computing. U.S. Department of Health and Human Services. Read 2026-10-15.
- Plain Language at NIH. National Institutes of Health. Read 2026-10-15.