Smart Engagement Starts with Smart Data: Using AI in healthcare marketing to Reach the Right Physicians

Pharma marketers are increasingly using artificial intelligence (AI). AI in healthcare marketing helps them find and reach the physicians most likely to prescribe the right treatment at the right time. But smart engagement isn’t just about better targeting, it’s about better outcomes. For the physician, for the brand, and most importantly, for the patient.

McKinsey estimates that AI could create $60–$110 billion in value each year for the pharmaceutical industry. Commercial operations could be among the biggest winners. AI in healthcare marketing can help teams move beyond outdated models that do not reflect how doctors behave in real time. The result? Missed opportunities, diluted messaging, and disengaged physicians.

Why Traditional Segmentation Falls Short

Most HCP targeting strategies use historical prescribing data or broad specialty filters. But these methods don’t account for whether a physician is currently treating a relevant patient, or whether they’re in a position to act. AI in healthcare marketing can help marketers use more current data to identify when and where engagement is most relevant. As Fierce Pharma notes, mass outreach often fails because it ignores real-time patient demand signals. This leads to wasted spend and low engagement (Fierce Pharma, 2025).

Even predictive models like “next best action” can fall short if they don’t incorporate current diagnostic or treatment data. Physicians engage when their patients engage. Without that context, outreach risks arriving too early, too late, or not at all.

Physician Engage: Precision Targeting with Purpose

Diaceutics’ Physician Engage platform is designed to solve this problem. It uses a multimodal data approach, integrating lab, genomic, diagnostic, and real-world data. This enables it to identify treating physicians within 24 hours of a qualifying diagnostic event. AI in healthcare marketing can support this approach by helping teams turn these data into more precise targeting.

Here’s what makes it different:

• AI-Powered Segmentation using Physician Engage. HCPs are selected based on real-time factors. Patient eligibility, prescribing likelihood, and clinical behavior, not just historical trends.
• Laser-Focused Outreach. Campaigns are triggered by biomarker positivity or other clinical milestones. Ensuring that content is timely, relevant, and actionable.
• Patient-Centric Impact. Every engagement is designed to support the physician in making the best possible decision for their patient. Whether that’s ordering a test, initiating treatment, or exploring new options.

This isn’t just about commercial performance. AI in healthcare marketing is about closing gaps in care. In one campaign, 55% of physicians ordered a test for the first time, resulting in 71 new patients starting therapy. These are patients who may otherwise have gone untreated. (*Data insights sourced from Diaceutics’ client projects).

Putting the Patient at the Center

Smart data isn’t just a marketing asset, it’s a clinical enabler. Physician Engage aligns outreach with the physician’s real-world context. AI in healthcare marketing can help make this outreach more timely and relevant. Thus helping ensure that patients receive the right therapy, at the right time.

In our recent webinar, Gunjan Aggarwal, Head of Data and Analytics at Averitas Pharma states:

“We are at an inflection point where data no longer follows decisions, and it drives them.” Fierce Biotech & Diaceutics. (2025).

Transforming Physician Identification: Leveraging Real-Time Data and Engagement to Reach Every Eligible Patient [Webinar]. Featuring Gunjan Aggarwal, Averitas Pharma.

This is especially critical in rare or complex conditions. Physicians may only encounter an eligible patient every few years. Without timely education, even experienced specialists may miss opportunities to act. Physician Engage bridges that gap, delivering just-in-time education that supports confident, informed decision-making.

A Smarter Framework for Engagement

To unlock the full potential of AI, pharma marketers should focus on AI in healthcare marketing strategies that support:

• Multimodal Data Integration. Combine lab, genomic, claims, and EHR data to build a complete picture of patient and physician behavior.
• Real-Time Activation. Use diagnostic triggers to engage physicians when they’re actively treating eligible patients.
• Outcome-Driven Measurement. Track not just engagement, but impact - testing rates, prescribing behavior, and patient outcomes.

Let’s Make Smart Data Work for Patients

If your team is ready to move beyond static segments and reach the right physicians, Diaceutics can help.

AI in healthcare marketing can help pharma teams reach the right doctors. It can also make engagement more relevant and support better patient outcomes.

Reach out to explore how Physician Engage can transform your targeting strategy. See how we can help ensure that every patient has the opportunity to receive the best therapy, at the right time.