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How Agentic AI Optimizes HCP Marketing and ROI in Life Sciences

by Briggs Davidson, Senior Director, Digital, Data Marketing Strategy, Life Sciences, at Capgemini Invent 02/09/2026 Leave a Comment

Most life sciences companies may know more about their healthcare professionals (HCPs) than they realize, but too often they can’t use that data when it matters. For example, an HCP may have just attended a conference where a competitor showcased their drug’s promising results, published research, and shifted their prescriptions to a rival product in the past quarter. In most companies, legacy IT infrastructure and data silos keep this information in disparate systems across CRM, events databases and claims data. Chances are, none of that information was accessible to sales reps before they met with the HCP. Unifying and leveraging this data can enable personalized communications, drive medical sales representative impact, and leverage data to better understand marketing ROI. Agentic AI provides life sciences companies with a powerful solution to deliver a unified view of HCPs and extract actionable insights from data to drive business outcomes. By enabling smarter decision-making and streamlined execution, agentic AI empowers marketing teams, even those with lean resources, to operate more efficiently on tighter budgets. Its advanced process optimization and orchestration capabilities help maximize impact while minimizing effort. According to a recent report, “AI agents could generate up to $450 billion in economic value through revenue uplift and cost savings” globally by 2028, with 69% of executives planning on using agents in marketing processes by the end of 2028. Let’s take a deeper look at how agentic AI can enhance marketing efforts aimed at busy HCPs. A different framework: the orchestration imperative One of the biggest challenges for Life Sciences marketers is obtaining a single view of the HCP. Taking an omnichannel view enables life sciences companies to coordinate experiences across channels. This is increasingly important as sales representatives have fewer opportunities to meet in person with providers than in the past, a trend accelerated by COVID. As a result, representatives need to make the most of each meeting, starting with specific intelligence that is tailored to individual HCPs. Siloed data makes it difficult or impossible to gain a comprehensive understanding of the HCP. Sales representatives are left to attend valuable in-person meetings without customized guidance they can use to provide consistent experiences for the HCPs. In that way, data fragmentation stands in the way of both providing an omnichannel experience and understanding marketing ROI. Agentic AI can’t solve the issue of HCP access however it can help unify siloed data in a way that makes access more effective by helping reps and marketers to better understand their HCP audience. Instead of having a data engineer build a new pipeline, an AI agent could autonomously query the CRM and claims database to help answer business questions. For example, it could ask “Identify oncologists in the Northwest who have a 20% lower prescription volume but attended our last medical congress.” Agentic AI’s data unification capabilities can also make it easier to calculate ROI. Agentic AI in the marketing workflow What does a marketing campaign look like with agentic AI unifying the data and optimizing processes? Imagine a world where a sales representative has an agent that assists them with call and visit planning. The sales representative could ask questions such as, “What messages has my HCP responded to most recently?” “Do we have data on prescription patterns?” and “Can you create a detailed intelligence brief on my HCP?” Agentic AI can bring the data together in one place, so the sales representative can gather information quickly on: Their most recent conversation with the HCP The HCP’s prescribing behavior Thought leaders the HCP follows Relevant content to share with the HCP The HCP’s preferred outreach channels, such as in-person visits, emails, webinars, etc. AI can further assist the sales representative by creating a custom call plan for each HCP based on the information in their unified profile. This allows the sales representative to offer personalized value to each provider in a way that respects their time and communication preferences. After each outreach, the AI agent can recommend follow-up steps based on the outcome of the engagement, to maintain a consistent experience for the provider. Preparing for agentic AI implementation Agentic AI systems are about driving action, graduating from ‘answer my prompt,’ to ‘autonomously execute my task.’ That means evolving the sales representative mindset from asking questions to coordinating small teams of specialized agents that work together: one plans, another retrieves and checks content, a third schedules and measures, and a fourth enforces compliance guardrails—all under human oversight. A successful agentic AI project starts with AI-ready data. This data is standardized, accessible, complete and trustworthy. AI-ready data enables: Faster decision making. Predictive analytics enables near real-time alerts on what’s about to happen. This will enable sales representatives to act proactively to drive business value. Personalization at scale. You can deliver customized experiences to thousands of HCPs simultaneously with a small human team enabled by a team of specialized agents True marketing ROI. Instead of monthly reports with historical data, you can finally answer what marketing activities are driving prescriptions. Agentic AI success starts with both marketing and IT aligning on your initial use cases. That will ensure that there is an agreed upon definition of tangible value. As part of the use case planning process, stakeholders need to identify KPIs that will demonstrate tangible outcomes, such as a specific percentage increase in HCP engagement or sales representative productivity. Setting KPIs early is important to securing funding for your agentic use case and to setting appropriate leadership expectations. Agentic AI is about driving action. Take a learnings-based approach to ensure your agents are delivering value and enabling the efficiency and effectiveness of your marketing team. This will also lay the foundation for scaling up and adding more use cases. For global organizations, these use cases can and should be tailored to fit each market’s maturity for maximum ROI. Accelerating marketing success through agentic AI transformation Agentic AI is not simply another technology-led capability; it’s a new operating layer for commercial teams. However, agentic AI’s full value only materializes with AI ready data, trustworthy deployment and workflow redesign. Agentic AI can transform your marketing organization by making it easier for your sales reps to connect effectively with HCPs, give them the resources they need, and take follow-up steps that drive engagement and sales. Your teams can unlock value in your existing data with an agentic strategy that prioritizes data quality, platform efficacy, real world use cases, and measurable outcomes. This will lead to value for both the HCP and the marketing team as the HCP receives directly relevant content and the marketing teams can drive increased HCP engagement and conversion. ## Briggs Davidson is Senior Director of Life Sciences at Capgemini Invent, where he advises C-suite leaders on leveraging data, analytics, and digital strategy to drive transformation and marketing impact. With over 20 years of experience, he leads initiatives across omnichannel orchestration, generative AI, and marketing science, delivering measurable results for global life sciences and healthcare clients. He’s also a published thought leader on performance marketing and first-party data strategy.

Most life sciences companies may know more about their healthcare professionals (HCPs) than they realize, but too often they can’t use that data when it matters. For example, an HCP may have just attended a conference where a competitor showcased their drug’s promising results, published research, and shifted their prescriptions to a rival product in the past quarter. In most companies, legacy IT infrastructure and data silos keep this information in disparate systems across CRM, events
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The “Signage” Trap: Why Fragmented Messaging Is a Hidden Risk for Multi-Location Health Systems

by Rolando Irizarry, Product Manager, Healthcare at Spectrio 02/09/2026 Leave a Comment

The "Signage" Trap: Why Fragmented Messaging Is a Hidden Risk for Multi-Location Health Systems

For multi-location health systems, keeping patient communication consistent is an everyday operational challenge. Information appears across screens, websites, front desks, portals, and provider scripts, often managed by different teams at different sites. When updates don’t reach every location at the same time, routine messages quickly fall out of sync. That complexity only grows as networks expand through mergers, acquisitions, and outpatient growth. Each new location introduces different
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AI Adoption in Healthcare Doubles, But Cybersecurity Risks Loom Large

by Scott Lundstrom, Sr. Industry Strategist Health, Life Sciences at OpenText Cybersecurity 02/06/2026 Leave a Comment

AI Adoption in Healthcare Doubles, But Cybersecurity Risks Loom Large

AI is no longer a concept of the future and has become a practical tool helping hospitals and health systems extend care, ease workforce pressures and improve patient engagement. From virtual nursing models that extend clinical capacity to AI-driven automation in call centers and back-office functions, healthcare organizations are finding new ways to manage workloads, reduce costs and improve patient experiences.  Despite its promise, AI in healthcare is not risk-free and the stakes are
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AI in Nursing Education: Strategies for Engagement and Curriculum Data Implementation

by Beth Phillips, Strategic Nursing Advisor at Ascend Learning 02/06/2026 Leave a Comment

Today’s nurse education programs are facing mounting, unprecedented challenges: underprepared students, faculty shortages, and the growing pressures of accelerated programs. To bridge these gaps and help get nursing education programs back on a successful track, schools are turning to artificial intelligence (AI)—not as a replacement for educators, but as a powerful tool to personalize learning, enhance engagement, and improve NCLEX outcomes. This requires educators to think differently and
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The “Push and Pull” of 2026: Why Healthcare AI Is Entering Its Most Dynamic Year

by Dr. Heather Bassett, Chief Medical Officer with Xsolis 02/05/2026 Leave a Comment

The Future of AI in Healthcare: Best Practices for Responsible Innovation

As AI continues to permeate the healthcare industry, 2026 will be a time of push and pull: well-designed and well-implemented AI scripts will pull the industry forward, while some stakeholders push back against the technology for a variety of reasons. The convergence of these trends should make for a dynamic year for payers, providers, and patients alike. Expansion of AI for legal compliance in healthcare Regulatory
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The Interoperability Bridge: How HIEs Secure CMS 2026 Compliance for Payers

by Patrick Gordon, CEO of Rocky Mountain Health Plans 02/05/2026 Leave a Comment

The Interoperability Bridge: How HIEs Secure CMS 2026 Compliance for Payers

As healthcare costs continue to increase and patients demand more from their insurance coverage, there’s rising pressure to provide higher-quality care more efficiently than ever before. The expectations for healthcare payers to achieve the Triple Aim objectives—that is, better patient experiences and improved population health at lower costs—demand that we all become more resourceful in our approach to care. It's clear that health plans and hospital systems can’t achieve these ambitious
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Why Autonomous AI Is Failing and Hybrid Models Are Winning

by Brent Dover, CEO, Carta Healthcare 02/04/2026 Leave a Comment

Good AI is not good enough. Healthcare leaders have largely moved past the belief that fully autonomous AI can solve their hardest problems. With an estimated 95% of generative-AI initiatives never progressing beyond the pilot stage, they’ve learned that simply “adding AI” does not translate into real-world impact. Healthcare is no exception. AI is now deeply embedded across the health system, from documentation and scheduling to risk prediction and clinical decision support, forcing the
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Vulnerability Threat Management 2026: How CISA KEVs Are Reshaping Healthcare Security

by Brandon Crawford, Manager of Vulnerability Threat Management at Fortified Health Security 02/04/2026 Leave a Comment

Vulnerability Threat Management 2026: How CISA KEVs Are Reshaping Healthcare Security

Vulnerability threat management (VTM) in the healthcare space is too important to be conducted haphazardly. It’s critical to find software tools that let you prioritize vulnerabilities, spot trends instantly, and quickly filter by vulnerability type and severity. Without such tools, managing vulnerability threats is a daunting task. Here’s what healthcare organizations are currently facing: Scanners routinely find thousands of vulnerabilities across a typical healthcare environment –
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Application Rationalization Is No Longer IT Housekeeping—It’s a Cybersecurity Survival Strategy

by Jim Jacobs, President CEO of MediQuant 02/03/2026 Leave a Comment

Application Rationalization Is No Longer IT Housekeeping—It’s a Cybersecurity Survival Strategy

Anyone who has worked in healthcare IT for any amount of time knows this: we’re all carrying more applications than we can reasonably manage. Some of these systems are critical. Some are helpful. And some have simply hung around longer than they should because nobody has had the time, data, or political capital to shut them down. For years, application rationalization was a manual, spreadsheet-driven exercise that demanded a lot of effort and delivered very little insight a leadership team
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Why Pharma Marketing’s “Safe” Playbook Is Expiring in 2026

by Mike Hauptman, CEO of AdLib 02/03/2026 Leave a Comment

Why Pharma Marketing’s "Safe" Playbook Is Expiring in 2026

  Pharma marketing has always operated within strict regulatory boundaries. What’s changing as we head into 2026 is not just the level of scrutiny, but the pace and unpredictability of it. Platform policies, data usage rules, targeting limitations, and compliance standards are evolving unevenly across channels and often without much warning. That volatility is forcing pharma marketers to rethink how they plan, buy, and optimize media. The old playbook which was built around a
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