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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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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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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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Case Studies

NBA Insights Solution

Client Situation As part of an enterprise-wide Digital Transformation initiative, our client was looking to optimize effectiveness of marketing execution channels—and maximize clinical and commercial outcomes—by personalizing campaigns through engaging HCPs with the most relevant content (safety, efficacy, support, etc.) The client was first looking to scale an existing brand-specific NBA solution across all their inline brands. However, there were several challenges with the initial application and this approach: Basic, limited functionality with no prediction capability around sequential touchpoints High…

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Webinars

Omnichannel Orchestration After Patient Finding: Once You’ve Found The Patients, What Do You Do?

Available On Demand

Across life sciences commercialization organizations, attention is shifting to best practices in strengthening the connection between healthcare professionals (HCPs) and patients. Join Susheel Sukhtankar, Partner and Head of Commercial Analytics at Trinity Life Sciences, as he hosts a dynamic discussion on the nuances of omnichannel orchestration with panelists Jerry Luciano, Vice President of Omnichannel Marketing at TGaS Advisors, a Division of Trinity Life Sciences, and Anushank Anand, Director of Omnichannel Analytics in Trinity’s Commercial Analytics practice. Key Webinar Topics Linking…

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Webinars

Cracking the Code on Generative AI: From Hype to Impact

Available On Demand

Watched our AIML 101 webinar and ready to learn more? Trinity Life Sciences is excited to continue the conversation with our next webinar, which will dive deeper into how pharma companies can move beyond the hype to unlock the value of Generative AI (GenAI). Join Trinity experts, Steve Laux, VP of Commercial Insights & Advanced Analytics, Nabha Subramanya, VP of Data Science and Patrick Waring, Director of New Products & Strategy, as they sift through all the noise surrounding GenAI and share…

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Webinars

Terra Lunch and Learn

Available On Demand

Most of today’s newest methods rely on large amounts of disparate and multi-sourced data.   Data integration is the next innovation: Speeding the ingestion of valuable data sets Quality checking and cataloging data for downstream business applications Supporting data-driven decisions and business data needs quickly Trinity Terra is a foundational data management tool, built for life sciences companies to enable rapid, intuitive data transformation.  Hundreds of data extractors for commonly used data sources and easy data stitching allow users to…

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Webinars

Trinity MMx Studio  |  Lunch and Learn

Available On Demand

Join Trinity Life Sciences for a virtual lunch and learn where Ally Calderone, Executive Director of Analytics Client Development, Nabha Subramanya, VP of Data Science and Anushank Anand, Director of Analytics will demonstrate Trinity MMx Studio. Trinity MMx Studio is a unique offering that integrates industry benchmarking from TGaS Advisors to provide Marketing Mix modeling with context to life sciences organizations. Leverage benchmarking insights to calibrate cost and allocation, identify areas of excellence, capture opportunities for improvement and pinpoint white…

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Webinars

Driving Commercial Success with AI: Build, Calibrate and Operationalize

Available On Demand

Now Available On Demand: In today’s cutthroat life sciences marketplace, commercial effectiveness in all its parts has never been so important.  From field force effectiveness to optimization of promotional investment through to Next Best Action implementation, tailoring the customer experience through content and tactics is the focus. Cross-functional coordination across teams and operationalizing at scale are the goal. Come join Nabha Subramanya, VP of Data Science at Trinity Life Sciences and Anushank Anand, Director in Trinity’s Analytics practice, as they…

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