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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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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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Case Studies

Rep-Centric Field Force Tool

Client Situation A midsize biopharma client wanted to create a rep-centric tool to help them understand their targets and map against current performance and gaps, identify changes in market scenario, manage schedules, prioritize targets and deliver contextual content Trinity’s Role Trinity developed a comprehensive field force tool to track target treatment paradigms, analyze market drivers and identify Next Best Actions (NBAs) ­Integrated tightly with rep calendars to provide triggers with insights and recommendations contextual to rep schedules ­Leveraged multiple data…

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Case Studies

Next Best Engagement Recommendation System

Client Situation A large biopharma customer wanted to optimize their digital channel strategy and outreach to most effectively engage with HCPs Trinity’s Role Trinity developed an AI solution that predicts the next best digital channel, content and cadence to engage with individual HCPs Although originally created for one brand, the technology and AI model was crafted so that it could be scaled and easily configured to add different criteria and datasets After success with the initial brand, Trinity expanded the…

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Case Studies

Improving Targeting Precision and Field Force Direction through AIML-based Patient Finding

Background A global rare disease company was looking to improve targeting precision and support field team effectiveness Traditional targeting was non-viable due to the small size of the patient populations, complex disease recognition and diagnosis, and restrictive therapy eligibility criteria Attempts by a prior analytics partner to use rule-based alerts failed, and even after two years, no new patients had been identified Given the small number of patients in each indication, every new start is high value, both for the…

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Case Studies

Global Value Messaging and P&MA Strategy for a CAR-T Cell Therapy

Trinity completed an engagement to support the successful launch of a CAR-T cell therapy with distinct clinical profile in a competitive landscape. Geographic Scope: Client Situation The client asked Trinity to develop and externally validate global payer value messages and the associated evidence set for their CAR T cell therapy. They also required support with developing a robust global pricing and market access strategy for their asset. Trinity’s Solution Trinity conducted focus groups and In-Depth-Interviews (IDIs) with key payer and provider stakeholders in scope markets to understand…

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