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Webinars

The Future of Patient Finding

November 13, 2024 | 1:00 - 1:45 PM ET

Two additional sessions will be offered: November 14 – 16:00 – 16:45 (UTC +8:00) – Asia/Shanghai November 14 – 15:00 – 15:45 CET – Europe/Berlin  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…

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Case Studies

Improving Data Operations Efficiency through GenAI-Powered Process Automation

The Situation Pharmaceutical companies are mandated to cease all forms of engagement with debarred healthcare professionals (HCPs) in the U.S. Compliance entails identifying and flagging HCPs from lists periodically released by government agencies. These agencies also issue exclusion notices that call out HCPs whomight be confused with debarred HCPs due to similar names and/or other identifying information. A top 10 pharma company was looking to improve debarred HCP identification (ID) by enhancing processes to ensure efficiency and adherence to the…

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Blog

The Next Wave of Global AI Medical Devices: Innovation in Action

Published July 19, 2024

A recent bipartisan initiative by Senators Martin Heinrich, Mike Rounds, Marsha Blackburn and Todd Young urged the Centers for Medicare & Medicaid Services (CMS) to establish a formal payment pathway for algorithm-based health care services (ABHS). This move addresses the need for stable Medicare reimbursement for FDA-cleared AI and machine learning (ML) medical devices, which aid in diagnosis and treatment. This initiative underscores AI’s transformative potential in healthcare, prompting Deepak Sahu, Managing Director at Trinity Life Sciences, and Michelle (武丹…

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Webinars

Human Centered Design Approach to GenAI for Life Sciences

Available On Demand

We need to think through not just whether GenAI works, but how we make it usable for people and impactful for our business…The next webinar in our “Making AI Real” webinar series will focus on people, process and technology—three interconnected components that are key to successful GenAI implementation.Join Trinity Life Sciences’ GenAI experts for actionable takeaways about ​​what you should be doing now in these three areas to position your company for success. We will also get “hands on” with…

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Case Studies

HCP-level Site Alert Predictions

Client Situation The objective was to develop an advanced machine learning algorithm to predict potential site alerts for HCPs in the target universe Trinity’s Role Besides sales rep deployment, the client used these alerts to direct their non-personal promotion like email and digital advertising. The project was done in 2 phases. Phase 1: Data coverage of claims data, EMR data and other sources for incoming site alerts to expand the existing HCP list Business rule creation to identify incoming site…

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Webinars

Making AI Real in Medical Affairs

Available On Demand

Join us for the next webinar in our “Making AI Real” webinar series, where we will focus on practical applications of generative AI for Medical Affairs.Medical Affairs teams are rapidly adopting generative AI to work more efficiently and effectively, although key challenges have begun to emerge. In this webinar, we will explore the best use cases that Medical Affairs teams can (and should) be implementing now to make the greatest impact for their organizations—and how to avoid the common pitfalls…

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Case Studies

Hyper-personalized HCP Recommendations

Client Situation The objective was to increase market share of target prescribers through an AI-powered Next Best Action model Trinity’s Role We were able to deploy this solution in 3 weeks. The project included: Discussions with the client team to finalize standardized business rules for brand-agnostic data and KPI definitions Master dataset development through applying business rules and automated monthly PySpark code refreshes State-of-the-art machine learning algorithms like reinforcement learning, deep neural networks with dynamic recalibration and automated hyperparameter tuning…

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Webinars

Unlock the Potential of Generative AI in Life Sciences Insights and Operations

Available On Demand

Generative AI (GenAI) has created an opportunity to re-think and significantly improve how we work. Although far from replacing humans, GenAI has the potential to make pharma professionals far more effective and valuable to their organizations. Join us for “Making AI Real,” a webinar series from Trinity Life Sciences dedicated to exploring how to leverage generative AI across different areas within pharmaceutical commercial operations and medical affairs. Our first webinar in this series will be on AI for Insights: discover how generative AI…

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Case Studies

Early Adopter Identification Engine

Client Situation In order to plan and efficiently utilize their sales and marketing efforts, a mid-sized biopharma client wanted to identify HCPs likely to adopt their drug in the early stage of launch Trinity’s Role Developed an Early Adopter Identification Engine to predict which prescribers were likely to adopt the drug in the initial launch stage Collaborated with internal stakeholders and downstream partners for seamless execution Created a customizable dashboard for HCP profiling, targeting prioritization and sales pattern identification ­Identified…

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Case Studies

Dynamic Targeting Solution

Client Situation A large biopharma customer wanted to develop a dynamic targeting solution for HCPs in a particular market Trinity’s Role Using machine learning, Trinity developed a model to predict HCPs’ future prescribing engagement Segmented prescribers into targeting tiers, updated on a quarterly basis Prioritized the prescriber tiers Project Outcomes Trinity delivered a model with 84% accuracy.* The solution supports a new, agile approach to call planning and execution to achieve better engagement using advanced analytics to dynamically target HCPs…

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