Blog
Published January 6, 2025
In today’s fast-paced business environment, the ability to harness data effectively can be a game-changer. Companies that can quickly integrate and analyze data from various sources are better positioned to make informed decisions, optimize operations and stay ahead of the competition.
The complexity of managing diverse data sources, ensuring data quality and maintaining consistent performance metrics can be daunting. These challenges are often exacerbated during periods of rapid growth, such as when a company is acquiring new businesses and integrating…
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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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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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In your company, is it Sales, Marketing, Analytics, Operations, Medical…?
If you are struggling to answer this question, you are not alone. With the rising adoption of digital and virtual approaches to customer engagement, companies are facing more complexity in commercialization. Organizations that lack clarity find that achieving the desired impact from customer engagement strategies remains elusive—despite significant investment and transformation.
Join Trinity’s Customer Engagement experts in a lively panel discussion hosted by Nancy Phelan, Senior Vice President. We will…
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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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Webinars
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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