Kamya Elawadhi is Co-Founder and President at Doceree.
Automation was supposed to be the answer—faster campaigns, smarter segmentation, reduced operational overhead. AI entered healthcare marketing with the promise of doing more faster. And it delivered.
My company is an AI healthcare marketing platform, so I’ve seen this shift firsthand. But somewhere in the pursuit of efficiency, I’ve also noticed that we seem to have stopped asking the more important question: Are we engaging physicians better?
For many organizations, the honest answer is no.
The Efficiency Trap
Campaigns that once took weeks now take days. Segmentation that used to require an analyst can now run on its own. And yet, when you sit down with physicians, which I try to do as often as I can, the feedback is consistent: The outreach they’re getting feels generic, untailored and as though it was built for someone who looks like them on a spreadsheet.
That’s not a technology failure. It’s a framing failure. We went into using AI asking “How do we do this faster?” when the question we needed to ask was “How do we become genuinely useful to this person?”
Those are very different design briefs.
What Physicians Actually Need From Us: Relevance
Physicians operate under conditions that many marketing teams, frankly, don’t fully appreciate. In that context, generic outreach actively erodes trust. A doctor who receives three irrelevant emails from a brand before a single relevant one has likely already formed an opinion about that brand.
What cuts through isn’t frequency or even good creative. It’s relevance to what’s happening in their clinical world right now. A physician who’s been managing a run of complex heart failure cases is in a very different headspace than one who isn’t. This means marketers should be using their AI systems to help detect and respond to that kind of behavioral signal to create genuinely differentiated engagement.
This is also why the channel conversation matters more than it used to. Physicians increasingly live inside clinical environments. These aren’t just new ad placements. They’re spaces where physicians are actively trying to solve a problem. Showing up there with something relevant is categorically different from catching someone between LinkedIn scrolls.
To show up relevantly in these spaces, marketers should move beyond demographic targeting and build content triggers based on real clinical signals, like prescribing patterns and therapeutic area activity. When a physician is inside an electronic health record reviewing a case, they don’t need brand awareness; they need a concise, clinically grounded resource surfaced at exactly that moment.
This requires shifting from planning campaigns to designing for intent—moving beyond outbound touchpoints to engaging within the physician’s workflow. The goal is not just to use AI to help reach physicians, but to show up meaningfully when they need it most.
Reps: Not Going Anywhere, But Can’t Be Everywhere
Relevance becomes especially important in the moments a marketer can’t reach. AI-powered engagement tools are not a field force replacement strategy; they’re a coverage solution. A physician at 10:30 on a Tuesday night, between chart notes, wondering about a specific dosing scenario—that’s a moment no marketer can reliably be present for.
With the right AI strategy, marketers can position their brands as knowledgeable resources whenever doctors actually need them. That’s a meaningful thing to offer. The brands that figure out how to be genuinely useful can build a different kind of relationship with physicians.
Learning From Data
The thing I find myself returning to, more than any specific capability, is the learning dimension.
Traditional campaign cycles have always had a lag built into them. You run something, wait for results, analyze and adjust. By the time you’ve course-corrected, the clinical environment may have shifted.
AI is changing that timeline. Engagement signals feedback continuously, content adjusts, and you can start to see patterns you might not have caught in a review, such as which topics are gaining traction in a particular specialty, which formats are losing it and where the genuine knowledge gaps are versus where physicians just aren’t interested.
To make the most of this, build a regular rhythm of reviewing engagement signals—not just at campaign close, but weekly. Assign someone to own the question: “What are physicians actually responding to right now?” That insight should feed directly back into content planning, channel decisions and the briefing of your field teams.
Over time, that’s not just better campaign performance. It’s organizational intelligence.
What This Requires From Marketing Teams
The technology to support healthcare marketing exists. The harder part is organizational.
The companies I see struggling with this shift are almost never struggling because of the AI marketing tool they chose. They’re struggling because they’re trying to run intelligence-driven engagement with infrastructure and mindsets built for broadcast marketing. Leveraging AI requires a different data architecture; different collaboration among medical, marketing and commercial; and different expectations about what “measuring success” means when you’re optimizing for physician understanding rather than just impression counts.
That’s a bigger lift than buying software. But it’s also where the real differentiation lives because it’s hard to copy.
The organizations that will define the next era of healthcare marketing aren’t the ones that automate the most. They’re the ones who understand the most. They understand which clinical environments are worth showing up in and how. And they understand that the goal isn’t a physician who’s seen your brand—it’s a physician who finds your brand worth engaging with.
Automation was the beginning. Intelligent engagement is what comes next.
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