Healthcare marketers are under more pressure than ever to innovate, adapt, and perform.
Artificial intelligence is transforming how healthcare organizations (HCOs) operate and how people find care. The competition for patient attention is intensifying, digital channels are evolving, and the demand to demonstrate measurable marketing impact is as important as it has always been.
Yet keeping pace with these changes isn't always straightforward. HCOs must balance the opportunities presented by AI and other emerging technologies with the realities of working with limited resources, complex privacy requirements, and (in some cases) fragmented data.
These challenges were central to several conversations and sessions at the 2026 Healthcare Interactive Conference (HCIC), held in Orlando, Florida. Read on for four key takeaways that could help healthcare marketers understand and navigate the industry in 2027.
Moving beyond AI experimentation might require a cautiously innovative approach
Healthcare marketers are well acquainted with the idea that AI presents enormous opportunities, from streamlining everyday operations and accelerating content creation to improving campaign targeting and personalization. However, we've seen how challenging it can be for some HCOs to turn that potential into practical, scalable applications.
At HCIC, Val Lopez, AVP of Digital Marketing at Baptist Health South Florida, and Keir Bradshaw, EVP of Solutions at MERGE, explored this challenge in their Monday masterclass on AI-empowered marketing. They described how organizations can sometimes find themselves stuck in 'pilot purgatory,' where promising AI experiments struggle to progress into broader implementation.
Their hesitation is certainly understandable. The era of AI is emphasizing concerns about data security, encouraging stricter privacy requirements, and highlighting the risk of deploying AI-generated content or recommendations without appropriate oversight. Many leaders are still in the process of creating policies around AI usage.
But avoiding innovation altogether carries its own risks, particularly as competitive and economic pressures rise. To help organizations escape from pilot purgatory, Lopez and Bradshaw proposed a cautiously innovative approach to AI adoption, supported by three essential components: governance architectures, team workflows, and measurement frameworks. They recommended:
- Establishing clear governance and accountability for acceptable AI use, data privacy, security, and human oversight. Consistent processes for evaluating AI tools should be made with special attention paid to their intended applications, underlying data, and potential risks.
- Implementing AI tools that address broader operational challenges rather than simply automating isolated tasks. The IT team and the employees who would use the tool daily should be involved with evaluating potential solutions and validating AI-generated outputs.
- Starting with clearly defined objectives and performance benchmarks when measuring business impact. Adoption rates and individual productivity gains are useful signals, but leaders should also at how the AI tool influences operational costs, output quality, and workflow efficiency.
As healthcare organizations expand their use of AI, the quality and context of their data will become increasingly important. Discover how stronger data foundations can help organizations prepare for the next phase of healthcare AI.
AI-powered search is changing how patients find care
The rise of generative AI isn't just changing how healthcare marketers work. It's also transforming how patients search for information, evaluate providers, and make decisions about their care.
For years, healthcare organizations have relied on search engine optimization (SEO) to improve their visibility in search results and attract prospective patients. But as AI-powered search experiences become more prevalent, traditional keyword strategies alone may no longer be enough. Generative engine optimization (GEO) is becoming an increasingly important consideration for marketers looking to ensure their organizations remain visible and relevant.
At HCIC, Ahava Leibtag, CEO of Aha Media Group, explored this changing landscape in a workshop on using GEO, schema, and editorial content to improve search visibility. She discussed the CRISP framework, which outlines five characteristics of content designed to perform across traditional search engines, AI platforms, and other digital experiences:
- Conversational: Content should use clear, reader-friendly language
- Retrievable: Information should be organized, chunked, tagged, and indexable so AI and search engines and retrieve it.
- Interoperable: Content should work across different platforms and systems via open schemas.
- Structured: Use consistent metadata so AI systems can determine how to best use your content.
- Personalized: Incorporate audience, lifecycle, and contextual signals into content across channels.
For healthcare marketers, adapting to AI-powered search requires more than incorporating new keywords or technical optimizations. It means rethinking how content is created, structured, and distributed.
We recommend considering these four strategies:
- Build credibility through authoritative content. Trust is more important than ever in the age of AI, so lean into reliable research and the expertise of healthcare professionals to enhance your messaging.
- Make each webpage easy for people and AI to understand. This SEO best practice still holds true. Use clear headings, structured data, and schema markup to make information scannable by both humans and machines.
- Deliver value beyond AI-generated answers. Consider what patients need after you give them an answer. Your content should create a pathway that helps patients take the next step in their healthcare journey.
- Monitor how your HCO appears in AI search. Regularly test common patient questions across search engines to understand how organizations, providers, and services in your market are represented.
Read our article for several tips on optimizing your content strategy for GEO for more.
Proving marketing impact means looking beyond the last click
Healthcare marketers have more data at their disposal than ever before. Yet connecting marketing investments to measurable patient conversions remains a persistent challenge.
Consider the complexity of a typical patient journey. Before scheduling an appointment, someone might research symptoms online, compare providers, read patient reviews, encounter a digital advertisement, and visit a health system's website multiple times. Each interaction could influence their decision, but traditional attribution models often struggle to capture the complete picture.
At HCIC, the learning lab "Beyond Last Click: Advancing Healthcare Attribution" explored how healthcare organizations can develop a more comprehensive understanding of marketing performance by looking beyond the final interaction before a conversion.
The discussion centered on four fundamental questions:
- Who are patients before they convert?
- How do they move through the patient journey?
- Which channels influence their decisions?
- How can those insights drive better investments?
Answering these questions requires healthcare marketers to look beyond individual campaign metrics and develop a more comprehensive understanding of their audiences. Patient demographics, healthcare needs, consumer behaviors, and preferences can provide valuable context about who organizations are trying to reach. Examining the interactions patients have across digital channels can help reveal how they research and evaluate care options, while connecting those touchpoints to conversion data can offer a clearer picture of which marketing efforts contribute to meaningful outcomes.
At Definitive Healthcare, we believe better marketing decisions begin with a more complete understanding of the audiences organizations want to reach. Our Digital Audiences solution layers medical claims, provider affiliations, consumer characteristics, and other healthcare market intelligence to help marketers connect with the patients and providers they care about. At the same time, our data offers valuable context on patient populations, care patterns, and opportunities that might otherwise be difficult to identify.
Breaking down data silos starts with a single source of truth
Healthcare organizations generate enormous amounts of data, but that information isn't always accessible to the teams that need it. When departments rely on disconnected systems and inconsistent data, it becomes harder to collaborate, measure performance, and make informed decisions.
At HCIC, Ashley Anderson, Digital Marketing Director at Adventist Health, and Elizabeth Griffin, SVP of Analytics at Piano Analytics, explored this challenge in a session on unified, HIPAA-compliant analytics. They discussed Adventist Health's journey beyond Google Analytics 4 (GA4) toward a more connected analytics framework that brings information from different departments and campaigns into a unified view.
For healthcare organizations, eliminating data silos requires more than implementing new technology. It means creating a shared foundation of reliable information that enables teams to work toward common objectives.
We recommend several best practices for breaking down data silos:
- Connect and standardize data across systems so departments can access consistent, reliable information about their markets, audiences, and performance from a single database.
- Align teams around common KPIs, reporting practices, and definitions of success to improve collaboration and accountability.
- Encourage cross-functional teams to use connected insights to identify opportunities, prioritize resources, and make more informed strategic decisions.
When teams across an organization operate from the same reliable information, they can spend less time reconciling conflicting data and more time identifying opportunities, improving performance, and driving meaningful business outcomes.
Learn more
If there's one overarching takeaway from HCIC 2026, it's that successful healthcare marketing requires more than adopting the latest technologies. It requires the right strategies, reliable data, and organizational alignment to turn innovation into meaningful results.
At Definitive Healthcare, we help organizations turn complex healthcare data into actionable intelligence. From understanding patient populations and identifying growth opportunities to reaching high-value audiences, our connected data and analytics can help healthcare marketers make smarter decisions and drive measurable impact.
Ready to build a more informed, data-driven marketing strategy for 2027? Book a demo to discover how Definitive Healthcare can help.
