Hello, this is Dr. Scott Morris and this is the July 2026 column called the AI Marketing Trap. And what we're going to talk about today is when personalization becomes maybe not about marketing but very predatory. And I'll start with a quote of the day when the algorithm dictates the conversation, the patient becomes a lead, not a life.
Now the integration of artificial intelligence and Icares rapidly collapsing the boundary between patient education and marketing. We already see the blueprint for this in the broader medical landscape. I mean, think of the patient who searches for intermittent joint pain on a wellness app, only to be hit about 10 minutes later with the targeted AI driven ad for specific orthopedic clinics, early intervention seminar. Now many have done a search on Google for something that ails you and five minutes later when you're scrolling YouTube, an advertisement for some miracle product for that exact same element shows up.
While build is being proactive patient education, the underlying engine is a conversion algorithm designed to capture a lead. When we as healthcare providers adopt these tactics, we turn the clinical journey once let's call it a sacred space of human touchpoints into a continuous calculated stream of algorithmic engagement. It's already happening everywhere. If you're open minded enough to see it.
Let's talk about this works in the real world. Well, consider a day in the life of a modern digitally engaged person. Let's call her Susan. She wakes up to a health tip notification on it from a wearable device telling her that she had a slight fluctuation in one of her biometrics on her watch last night.
And she thinks, well, I do feel a lot of today. Maybe I need to have this checked on and she's prompted to book an appointment with a specialist in her area. In the way of your room and ambient scribe, quietly logs her concerns. The system immediately cross references her issues with high margin elective services that this specialist is just started to offer.
Imagine that. The system sends Susan a DM on one of her socials that this provider's offering this new service at a 30% discount. A message perfectly timed to maximize the likelihood of high value purchase. Susan thinks, funny, they didn't bring that up when I was scanning a check in.
By the time she leaves the office, she's booked for this new and exciting procedure to fix her biometric abnormality. With 10 minutes leaving the office, an automated personalized follow-up sequence is already waiting for her inbox. Along with the discounts on four products, she might want to consider buying to improve her treatment outcome. Once again, she wonders why the provider didn't mention these during her visit.
He was busy, but didn't even mention it. Well, that's odd. Now, maybe this seems a little bit of a stretch, but does it? Well, let's think about how we convert a patient to a data point.
Most of us feel when a conversation is scripted by incentive structure rather than empathy. When it's a sale, not a service, when realized the helpful educational tidbit was triggered by a machine looking to fill in an empty exam lane, the vulnerability required for clinician clinical trust evaporates and our trust in that provider begins to fade. To the system, this is optimization. To Susan, the shift is subtle, but somewhat chilling.
She moves from being a person being cared for to a data point being managed. The danger lies in how easily we convince ourselves that this is just now better service. We tell ourselves that because the information is medically relevant, it isn't marketing. But when a system is engineered to nudge a patient towards a specific service, the intent is inherently transactional.
Instead of solving process friction to help a patient, we're utilizing the same diagnostic data to manipulate their behavior. And if we lose the ability to distinguish between a recommendation rooted in honest clinical necessity and one generated by a profitability algorithm, we forfeit our role as trusted navigators of our patient's healthcare journey. So how do we safeguard patients trust? And trust is the one thing we have to constantly guard against and for.
It takes a lifetime to build in a minute to destroy. Once that bridge is burned, it's nearly impossible to rebuild. We need to be wary of the predatory systems and redesign our engagement to prioritize the human element, ensuring that our digital tools act as an extension of our values rather than a substitute of our ethics. To preserve the sanctity of professional trust, we must be the final judges of the digital narrative.
We as providers must guard against the temptation of LADI drive the conversation, even when it's more convenient or profitable to do so. As we navigate this transition, we must adhere to a few new, let's call it a new set of ethical guardrails to ensure our tools serve the patient rather than to manipulate them. Here's just a few ideas. First, clinical priority.
What if all AI-driven communication was vetted to ensure it serves a clear medical need, not merely an operation or financial goal? Number two, transparency. Patients should be aware when they're interacting with automated systems. Honestly, about the nature of the communication, prevent to prevent the feeling of being manipulated.
Number three, I think we need to have human and loop oversight. Every automated, let's call it nudge, where educational sequence must be periodically reviewed by a clinician to ensure it aligns with our ethical standards and standards of care. Four, an opt-out agency. Patients must have an easy and transparent path to opt-out a marketing heavy automated outreach without losing access to necessary clinical information.
These are just four ideas that come up with. I think this whole concept of how we avoid the AI-marketing trap is just something we all need to think about.