Healthcare marketing is moving fast, and the conversations shaping what comes next are happening across every corner of the industry. Our team recently attended PulsePoint HealthNEXT, where we had the opportunity to join industry leaders on stage, connect with partners and peers, and dig into some of the biggest shifts influencing healthcare marketing today.
Across sessions, one thing became clear: the industry isn’t simply adopting new technology. It’s rethinking how technology, data, media, and human expertise work together to create more meaningful experiences for patients and healthcare professionals (HCPs).
Here are the takeaways we brought back to our teams, clients, and partners.
AI Is Moving From Experimentation to Infrastructure
The healthcare industry is moving beyond the question of whether AI will change marketing and care. The more important question now is how organizations can put it to work responsibly and effectively.
Throughout HealthNEXT, we heard examples of organizations operationalizing AI across workflows, from media planning and optimization to research, content development, administrative tasks, and clinical education. Rather than existing as a standalone capability or experiment, AI is increasingly becoming a layer across the healthcare ecosystem.
That distinction matters.
The most compelling applications aren’t necessarily about replacing existing processes or people. They’re about removing administrative burden, surfacing insights faster, increasing efficiency, and giving teams more time to focus on the work that requires human expertise.
Healthcare providers echoed that sentiment, discussing applications like ambient note-taking, research synthesis, clinical education, information retrieval, and patient communication. For marketers, the principle is similar. AI can help evaluate scenarios, identify patterns, optimize toward meaningful signals, and accelerate workflows.
But efficiency alone isn’t the end goal. The real value comes from using those capabilities to make better strategic decisions. And that requires something AI cannot manufacture on its own: trust.
In an AI-Powered World, Trust Becomes More Valuable
As AI makes information easier to access, healthcare faces an interesting paradox: access to information is no longer necessarily the challenge. Confidence in that information is.
Patients are increasingly arriving at healthcare decisions armed with information they’ve gathered from AI tools, social platforms, search, publishers, and other sources. At the same time, HCPs are navigating an increasingly complex environment of rapidly evolving research, guidelines, patient needs, and clinical information.
The result isn’t information scarcity. It’s information overload.
That creates an important role for healthcare brands. Being visible is only part of the equation. Brands also need to earn confidence by providing information that is credible, relevant, transparent, and useful at the moment someone needs it.
The same standard applies behind the scenes. AI and sophisticated optimization models are only as valuable as the data informing them. Accurate, transparent, and validated HCP data can improve targeting, measurement, orchestration, and optimization. Poor-quality data can amplify inefficiency across the same ecosystem. One phrase we heard throughout the event captured it well: trust, then verify.
Responsible AI adoption requires human oversight, transparent data practices, and continuous validation. Technology may help inform the decision, but healthcare remains fundamentally human. Empathy, judgment, communication, and the relationships between patients and their healthcare providers can’t simply be automated away.
Omnichannel Isn’t About Being Everywhere
Another message came through loud and clear at HealthNEXT: omnichannel needs a rethink. For years, omnichannel has often been interpreted as expanding a brand’s presence across more channels. But being everywhere doesn’t necessarily mean creating a connected experience. Patients and HCPs don’t experience healthcare as a collection of media channels. They experience a journey. They research a question, encounter information, speak with a physician, evaluate options, begin treatment, and continue seeking support. Those moments don’t happen neatly within the boundaries of search, social, programmatic, CRM, EHR, or the field force.
So why would we plan them that way? The next evolution of omnichannel is a shift from channel-centric planning to journey-centric orchestration.
Instead of starting with, “Which channels should we activate?” marketers can start with a more important question: “What does this person need at this moment, and what signal tells us they’re ready for it?” From there, channels become the delivery mechanism rather than the strategy itself.
True orchestration requires media, creative, data, technology, CRM, and field teams to operate around a shared understanding of the customer journey. It also requires measurement to evolve beyond evaluating individual channels toward understanding sequencing, incrementality, journey progression, and cross-channel contribution.
Clinical Intent Is Creating a More Meaningful Signal
As journey-centric marketing becomes more sophisticated, another shift is emerging: moving from broad audience identification toward understanding clinical intent. Traditionally, an HCP may be targeted because they appear on a list or meet predefined audience criteria. Those signals remain valuable, but they don’t necessarily tell a marketer what that HCP needs right now. Behavioral and clinical signals can add another layer of context. Is an HCP actively researching a treatment? Are they exploring a specific clinical question? Where are they in the progression from consideration to active evaluation? What information could actually help them in that moment?
The conversations around clinical AI environments were particularly interesting because they point toward an opportunity to better understand what HCPs are actively trying to solve. Rather than relying solely on passive media exposure, marketers can increasingly think about the context, intent, relevance, and timing surrounding an interaction. This changes the objective from maximizing exposure to creating meaningful relevance.
Instead of simply increasing message frequency, marketers have an opportunity to listen to the signals available, identify information gaps, and deliver evidence and education when they’re most useful. It’s a subtle but important shift from reaching the right audience to reaching the right audience at the right clinical moment.
Personalization Needs to Become More Meaningful, Not Just More Granular
Better signals also create an opportunity to rethink personalization. Patients don’t enter a healthcare journey from the same place. Someone newly diagnosed has different questions from someone who has been on treatment for years. HCPs have different patient populations, knowledge gaps, clinical barriers, and information needs. One-size-fits-all strategies can’t account for that complexity. But personalization can also quickly become personalization for personalization’s sake.
The goal shouldn’t simply be to create more audience segments, more messages, or more content variations. It should be to make each interaction more useful. That requires better signals, stronger data, thoughtful segmentation, modular content, and an understanding of when different messages can actually influence the journey.
The question shifts from “How personalized can we make this?” to “What would be most valuable to this person right now?” That distinction is where meaningful personalization begins.
Better Signals Should Lead to Better Decisions
Underneath many of these conversations was another important evolution: moving away from proxy metrics and toward signals that tell us something meaningful about healthcare behavior. Clicks, impressions, site visits, and other traditional media metrics still have a role. But optimizing exclusively toward them can miss the bigger picture.
Healthcare marketers increasingly have access to signals that can help illuminate clinical behavior, HCP readiness, patient engagement, and progression through the decision journey. When paired responsibly with claims, first-party, media, and other data, those signals can create a much richer understanding of what is actually happening.
The opportunity isn’t simply to collect more data. It’s to connect the right data, understand what it means, and use it to make smarter decisions faster. That also changes what marketers should expect from measurement. Rather than asking only whether an individual channel performed, we can increasingly ask whether our collective efforts accelerated the journey, contributed incrementally, reached the right people, and ultimately drove outcomes that matter.
Let’s Wrap Up: What Healthcare Marketers Should Take Away
The conversations at HealthNEXT reinforced that the next era of healthcare marketing won’t be defined by a single technology, platform, or channel. It will be defined by how intelligently marketers bring them together.
1. Think journeys, not channels.
Build strategies around how patients and HCPs actually move through decisions, then determine which channels, experiences, and messages can best support them at each moment.
2. Use AI to elevate human thinking.
The strongest applications of AI create efficiency, surface insights, and improve decision-making while keeping human expertise, validation, and accountability at the center.
3. Treat better data as a competitive advantage.
As AI, automation, and orchestration become more sophisticated, the quality and transparency of the data behind them matter even more. Better inputs lead to better decisions.
4. Move from audience to intent.
Knowing who someone is only tells part of the story. Behavioral and clinical signals can help marketers better understand what patients and HCPs may need next and when it is most valuable to show up.
5. Prioritize relevance over volume.
More messages aren’t necessarily better. The opportunity is to create fewer, more meaningful interactions that are better timed, more relevant, and genuinely useful.
6. Measure what actually matters.
Measurement needs to move beyond isolated channel performance. As we connect more signals across the journey, the focus should increasingly be on incrementality, progression, and meaningful business and health outcomes.
7. Build trust into every interaction.
Whether someone encounters information through an AI answer, a publisher, an ad, a physician, or a brand experience, credibility matters. In a world where answers are increasingly abundant, confidence in those answers becomes the differentiator.
Our time at PulsePoint HealthNEXT reinforced that the organizations leading the next era of healthcare marketing won’t necessarily be those using the most AI or activating the most channels. They’ll be the ones that use technology, data, media, and human expertise together to better understand what patients and HCPs need and show up with something valuable when it matters most.
For us at Butler/Till Health, that’s the opportunity we’re most excited about: using innovation not simply to do more, but to make every connection more informed, more relevant, and more meaningful.
Interested in connecting? Contact us today!
Contributors: Adriana Passarell, Alexa Page, Amanda Moynihan, Kendree Thieringer, Kristie Murphy, Kristin Bellefontaine, Maggie Leathersich
