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AI-Powered HCP Call Planning: A Case Study in Business Transformation

July 23, 2025 | 12:00 - 12:45 PM ET

Field sales teams are a vital link between life sciences companies and healthcare professionals (HCPs), with effective call planning critical for success. As companies embrace new technologies to enhance their selling processes, they often face challenges such as resistance to change, training needs and integrating systems with existing workflows. Join our panel discussion with Bausch Health to learn how organizations are overcoming these hurdles and using AI and machine learning to transform HCP call planning. Through a real-world case study, you…

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Blog

Empowering Field Teams: A Case Study in AI-Driven Call Planning

Published June 25, 2025

Field sales serve as the primary bridge between companies and healthcare professionals to build trust, provide valuable information and drive product adoption. Effective call planning is essential, as it allows reps to prioritize their engagements, tailor messaging and maximize their impact.   The introduction of new technologies to streamline or enhance field operations comes with inherent challenges, such as resistance to change, training needs and aligning new systems with existing workflows. Quite simply, the field can become overwhelmed.    To overcome these…

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Case Studies

Optimizing HCP Call Planning with a Best‑in‑Class AIML Engine

The Situation Mid-Size Pharma, High-Potential HCP Identification A mid-sized pharmaceutical company partnered with Trinity AI to revamp its targeting strategy with the goal of reinvigorating one of their brands across multiple indications to drive new patient growth.   They wanted to develop a robust autonomous dynamic targeting solution, leveraging AIML to identify microclusters of high potential HCPs to drive new patient starts.  The engine would predict and create a pipeline of HCPs that were most likely to convert to the brand…

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Webinars

The GenAI Advantage: Empowering Pharma Customer-Facing Teams

Available On Demand

Join us for the first webinar in our “AI Innovations in Life Sciences” series to learn how generative AI (GenAI) can transform the way customer-facing teams (sales reps and medical science liaisons) operate in life sciences companies. Discover practical applications of GenAI to enhance call planning and customer engagement and help field teams translate data and analytics into action.Sales reps and MSLs face significant challenges in managing and synthesizing vast amounts of data from multiple sources. As companies prioritize the…

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White Papers

Technology with a Point of View: Encoding Life Sciences Expertise with AI

Discover how Trinity Life Sciences is transforming pharma commercialization with generative AI (GenAI). In this white paper, experts share how Trinity’s GenAI-powered solutions are reshaping Medical Affairs, Field Insights, Competitive Intelligence and more—delivering faster insights, reducing friction and unlocking new value across the organization. What You’ll Learn: How GenAI is being adopted across life sciences functions—and where it’s headed next Real-world use cases in Medical Affairs, Field Insights, Value & Access, Primary Market Research and Competitive Intelligence Trinity’s approach to…

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Blog

Operationalizing Generative AI in Life Sciences—Trinity Life Sciences Included in Everest Group Report

Published May 8, 2025

The transformative potential of generative AI (GenAI) within the life sciences industry is highlighted in Everest Group’s report, “AI-deas to Action: Operationalizing Generative AI in Life Sciences.”    Fifteen companies were selected for inclusion across three categories:  Broad-based IT/Business Process Organizations (BPOs)  Clinical Research Organizations (CROs)  Life Sciences Specialists  To be included in the report, providers had to have been profiled in past Everest Group PEAK Matrix® assessments with a Harvey score of above five in Innovation and Investment, as…

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Analyst Reports

Everest Group recognizes Trinity Life Sciences as a Featured Specialist in Operationalizing Generative AI in Life Sciences

Everest Group report: AI-deas to Action: Operationalizing Generative AI in Life Sciences This research report provides a comprehensive analysis of how generative AI (GenAI) is being operationalized in the life sciences industry and assesses the capabilities of the fifteen vendors included. The report highlights several of Trinity’s key strengths, including: Life Sciences Industry Expertise Trinity has nearly 30 years of experience in the industry, providing evidence-based solutions to over 300 clients, including the global top 20 biopharma companies. This deep…

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Webinars

Generative AI in Pharma – Five Years From Now

Available On Demand

Generative AI is having a transformative impact on the pharmaceutical industry. Drugmakers are partnering up with companies like Insilico Medicine, Exscientia, BenevolentAI, and more to leverage their respective generative AI-powered platforms and applying them across the pharma value chain: from accelerating drug discovery and optimizing clinical trials, to improving operational efficiencies and enabling personalized treatments that promise better outcomes. What progress has been made by the pharma companies in integrating generative AI into their operations and what advances would we…

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Webinars

The Future of Patient Finding

Available On Demand

Patient finding is more than a buzzword. Ready to challenge the status quo? With more data, advancements in AIML and greater access to insights, it is not surprising that patient finding is evolving. Many pharma organizations have deep-rooted ideas about what patient finding requires, but they often miss the opportunity to put the patient at the center. Join Trinity Life Sciences’ experts as we debunk common misconceptions and discuss the actionable potential of patient finding throughout the drug development lifecycle. We…

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Blog

Can GenAI be Used to Improve Data Operations Efficiency?

Published September 12, 2024

The short answer is yes, by powering process automation with GenAI. It’s an approach that hasn’t received as much attention as other GenAI use cases within life sciences, but the results can be very powerful. To illustrate its power, we’ll examine a case study on identifying debarred healthcare professionals (HCPs). Why is it important to identify debarred HCPs? Pharmaceutical companies are mandated to cease all forms of engagement with debarred healthcare professionals (HCPs) in the U.S. Compliance entails identifying and…

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