By Steve Bunker, CEO, Target Patients MD
Independent medical practices have adopted AI faster than most people realize. It rarely happens as a big project. A practice adds a chat assistant to its website, then a tool that drafts review replies, then another that writes a first pass at a blog post or tunes an ad budget overnight. A year later, much of the practice’s marketing is touched by some form of automation, and nobody has stepped back to ask which of it is actually bringing in patients.
Some of these tools genuinely help. Others quietly create problems that a medical practice, unlike a coffee shop or a software startup, cannot afford. Here is what I see working, where it goes wrong, and the one part of the job AI still cannot do.
Where AI tools are already earning their keep
The clearest win is after-hours coverage. Plenty of people look for a doctor in the evening, when the front desk is closed. A website chat assistant that answers routine questions, such as hours, location, accepted insurance, and how to request an appointment, then passes a clean request to staff in the morning, captures interest that would otherwise go to whichever practice picked up first. The rule that makes it safe is simple: the assistant handles administrative questions only and hands anything clinical to a person.
The second win is drafting. Content assistants are good at producing a first version of a condition page, an FAQ, a reminder email, or a newsletter. They are not good at knowing what a specific practice actually does, what its clinicians believe, or which claims it can support. The practices that use these tools well treat every AI draft as raw material that a clinician or manager reviews and rewrites before anything is published.
The third win is analysis. Tools that summarize why people are calling, which pages visitors read before they book, and where web forms get abandoned show a practice where its healthcare marketing funnel is leaking, turning data it already has into decisions it can act on. Ad platforms with automated bidding fall into the same category: useful, as long as someone is watching what they optimize for.
Where practices get into trouble
The most serious risk is privacy. Chat widgets, analytics scripts, and tracking pixels can send information about website visitors to outside vendors, and on a healthcare site that information can reveal that someone is seeking care for a specific condition. The U.S. Department of Health and Human Services has published guidance on online tracking technologies that applies directly to this. Any AI tool that sees patient information needs to be vetted before it goes live, with the right vendor agreements in place, not after.
The second risk is reviews. It is now trivial to generate a convincing review or testimonial, and some vendors will offer to do it. That is deceptive, full stop. The Federal Trade Commission’s guidance on endorsements and reviews is clear that endorsements must reflect real experiences. AI-drafted replies to genuine reviews carry their own trap for medical practices: a reply that mentions a visit, a treatment, or a clinician confirms that the reviewer is a patient. Every reply should stay generic and invite a private conversation.
The third risk is sameness. When every practice in a city uses the same tools to write about the same conditions, the result reads the same. Patients notice, and so do search engines, which increasingly reward content that shows real expertise and a specific point of view. AI can help a practice say more. It cannot give the practice something worth saying.
The part AI cannot do: strategy
Tools execute. They do not decide which service lines the practice should grow, which patients it serves best, how it should position itself against the practice down the street, or how much of its budget belongs in search, reviews, referrals, or its own website. Those decisions determine whether all the automation produces booked appointments or just more activity.
In my experience, the practices that get the most out of AI pair their tools with a medical practice marketing agency that owns the strategy and measures every tool against booked appointments rather than clicks or content volume. Whether that strategy comes from an outside partner or an experienced person in-house, someone has to be accountable for it, and it cannot be the software.
A practical starting point
For a practice that wants to use AI without the downside, four habits cover most of the ground. First, keep an inventory of every tool that touches the website, the phones, or patient information, and confirm how each one handles data. Second, keep a human in the loop for anything clinical and for every public reply. Third, judge each tool by whether it helps book real appointments, not by how much it produces. Fourth, add one tool at a time and give it a few weeks before adding the next, so its effect is visible.
AI is not going to replace the relationship between a patient and a practice. Used carefully, though, it can make sure more of the right patients find the practice in the first place, and that nobody who reaches out after hours falls through the cracks.
About the author
Steve Bunker is the CEO of Target Patients MD, a healthcare marketing agency that works with medical and dental practices across the United States and Canada. He writes about how practices can use new technology to reach patients without losing the trust that care depends on.
