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Life Sciences | News, Analysis, Insights - HIT Consultant

HIMSS26: Verily and Samsung Partner to Integrate Galaxy Watch 8 into Precision Health Platform

by Fred Pennic 03/09/2026 Leave a Comment

HIMSS26: Verily and Samsung Partner to Integrate Galaxy Watch 8 into Precision Health Platform

What You Should Know The Partnership: Verily Life Sciences and Samsung Electronics America are collaborating to integrate the Samsung Galaxy Watch 8 directly into Verily’s precision health platform, Pre.The Clinical Goal: The joint solution is designed to accelerate research for life sciences and government customers by allowing them to run real-world studies using continuous, consumer-grade wearable data.The Hardware: The Galaxy Watch 8 acts as a robust clinical tool, bringing FDA-cleared
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Why Pharma Must Adopt “Decision Engines” for Medical Engagement

by Jones Jaick, Partner at ZS Associates 03/06/2026 Leave a Comment

Jones Jaick, Partner at ZS Associates

Pharma medical affairs teams have spent the last decade investing heavily in digital transformation. Virtual advisory boards, omnichannel platforms, CRM systems, and analytics dashboards are now standard. Yet despite this progress, many medical engagement strategies still appear static. Plans are often locked in annually, channels are treated as separate silos, and success is measured by activity rather than relevance. The disconnect is not a lack of data or tools. It is that engagement
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Havas Health and BrightInsight Form Global Digital Health Partnership for Biopharma

by Jasmine Pennic 02/26/2026 Leave a Comment

Havas Health and BrightInsight Form Global Digital Health Partnership for Biopharma

What You Should Know The Alliance: Havas Health has announced an exclusive, strategic partnership with BrightInsight, designating the firm as its single global agency partner for digital persistence and adherence solutions.The Core Problem: The pharmaceutical industry loses an estimated $500 billion annually because patients fail to adhere to or persist with their prescribed therapies.The Technology: BrightInsight brings a pre-vetted, regulatory-compliant digital health platform (powering
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Lessons from COVID-19: How Agile Governance is Transforming Pharmaceutical Launch Readiness

by George Stephen, Pharmaceutical Executive at Gilead Sciences 02/26/2026 Leave a Comment

Lessons from COVID-19: How Agile Governance is Transforming Pharmaceutical Launch Readiness

The COVID-19 pandemic forced the pharmaceutical industry to do what once seemed impossible: compress launch cycles that traditionally stretched over a decade into mere months.  The urgency of the crisis redefined what “readiness” meant, with organizations working across functions, geographies, and regulators at a pace previously unthinkable. While the world has shifted into a post-pandemic reality, the lessons learned from this period of radical acceleration remain invaluable. The
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Verily Launches Self-Serve Access to Pre Platform with New Segmed and RefinedScience Datasets

by Fred Pennic 02/19/2026 Leave a Comment

Verily Launches Self-Serve Access to Pre Platform with New Segmed and RefinedScience Datasets

What You Should Know The Launch: Alphabet's Verily is lowering the barrier to entry for biomedical research by launching a free, self-serve "Standard tier" for its Pre precision health platform.The Tech: Researchers can now instantly access Verily's Exchange (data catalog) and Workbench (trusted research environment) using just a Google account, bypassing months of traditional IT provisioning and data-use red tape.The Data: The launch includes three massive new datasets: an Acute Myeloid
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Sensei Biotherapeutics Acquires Faeth Therapeutics, Raises $200M to Solve PI3K Resistance

by Fred Pennic 02/18/2026 Leave a Comment

Sensei Biotherapeutics Acquires Faeth Therapeutics, Raises $200M to Solve PI3K Resistance

What You Should Know The Deal: Sensei Biotherapeutics has acquired Faeth Therapeutics in a stock-for-stock transaction. Concurrently, Sensei raised a massive $200M in private placement financing to fuel the combined company.The Asset: The centerpiece of the deal is PIKTOR, an oral drug combination that targets the PI3K/AKT/mTOR pathway. Unlike previous drugs that hit just one "node," PIKTOR hits multiple nodes simultaneously to prevent the tumor from finding a workaround.The Promise: In early
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Merck to Leverage Mayo Clinic Platform_Orchestrate for AI-Enabled Drug Discovery

by Fred Pennic 02/18/2026 Leave a Comment

Merck to Leverage Mayo Clinic Platform_Orchestrate for AI-Enabled Drug Discovery

What You Should Know The Deal: Merck and Mayo Clinic have signed a strategic research agreement to apply AI and multimodal data to drug discovery. This is Mayo Clinic's first collaboration of this scale with a global biopharma company.The Data: Merck gains access to Mayo Clinic Platform_Orchestrate, a treasure trove of de-identified clinical data, genomic datasets, lab results, imaging, and clinical notes from the world's top-ranked hospital system.The Focus: The partnership will initially
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The “Pilot Purgatory”: Why 80% of Pharma AI Projects Fail (And How to Fix It)

by Rameez Chatni Global Director of AI Solutions - Pharmaceutical and Life Sciences at Cloudera 02/16/2026 Leave a Comment

The "Pilot Purgatory": Why 80% of Pharma AI Projects Fail (And How to Fix It)

Artificial intelligence is rapidly reshaping the life sciences industry, influencing everything from early-stage drug discovery to clinical operations, manufacturing, and patient engagement. While enthusiasm for AI remains strong, many organizations continue to struggle with moving from experimentation to scalable, enterprise-ready deployment. Recent industry data found that 80% of healthcare AI projects fail to scale beyond the pilot phase. In highly regulated environments like healthcare, AI
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Mayo Clinic Platform Standardizes Cancer Data to Speed Up Trials

by Fred Pennic 02/11/2026 Leave a Comment

Mayo Clinic Platform Standardizes Cancer Data to Speed Up Trials

Mayo Clinic Platform Standardizes Cancer Data to Speed Up Trials What You Should Know The Upgrade: Mayo Clinic Platform_Orchestrate has launched new capabilities that allow researchers to access standardized, "research-ready" cancer data.The Standard: The platform now utilizes the OMOP Oncology framework, which structures complex, messy data (like pathology reports and tumor staging) into a consistent format that algorithms can easily analyze.The Future: Later this year, Mayo will
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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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