Case Studies
The Situation
A mid-size biopharma company had an ambitious inorganic growth strategy but a fragmented data ecosystem, with each brand and function using its own data universe.
There were a variety of data sources, models and integrations. Every brand needed data from different vendors depending on therapeutic area, so data models and integration were implemented for each brand. Maintaining these custom pipelines and ensuring data quality became a resource-intensive exercise as the usage of data grew.
Performance metrics meant different…
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Case Studies
Trinity AI’s GenAI-powered process automation solution to improve data operations efficiency won QC Data Management Solution of the Year in the 2024 BioTech Breakthrough Awards.
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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…
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Case Studies
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
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
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
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
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
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
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
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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