Transforming Drug Sentiment Analysis with AI, NLP & Predictive Modeling

Life Sciences Data Science & Machine Learning Dataiku

Infocepts transformed drug experience analysis for a pharma firm with AI-NLP on Dataiku—driving $200K savings, 15% higher engagement, and 3X faster insights.

The Challenge

Our client struggled with several roadblocks in effectively analysing drug-related experiences:

Slow & Inefficient Analysis: Traditional text intelligence methods were outdated and time-consuming, delaying insights critical to decision-making.
Lack of Actionable Visualization: Key trends and insights were buried in raw data, making it difficult for stakeholders to interpret and act on them.
Scalability Limitations: Manual processes were prone to errors, difficult to scale, and failed to keep up with growing data volumes.

The Solution

To overcome these challenges, Infocepts developed an AI-powered NLP solution using Dataiku and Python. The solution automated sentiment analysis, thematic categorization, and predictive modelling to enable faster, more accurate insights. Key components of the solution include:

Real-time dashboards in Dataiku to transform sentiment data into clear, actionable insights that enabled stakeholders to track drug performance, monitor trends, and refine engagement strategies using ML-driven analytics.
Used Python and NLP models to analyze unstructured text from patient reviews, clinical reports, and social media.
Applied ML-driven predictive modeling to extract key sentiments and risks, delivering targeted recommendations.
Implemented real-time tracking of sentiment shifts and emerging themes using Python-based NLP models.
Automated content classification, ensuring a holistic view of patient and provider experiences.
Enhanced accuracy through self-learning Machine Learning algorithms that evolve with new data inputs.

The Outcome

The solution delivered tangible business value and transformed how the company leveraged drug experience insights. Key benefits include:

$200K in annual cost savings through automation and reduced error rates.
Improved prescription adherence and increased sales, with a 15% boost in engagement driven by targeted insights.
Eliminated manual bottlenecks, reducing analysis time by 40% and ensuring real-time, accurate insights.
Enabled stakeholders to optimize drug strategies and market positioning, increasing insight adoption by 3X among field medical teams.

Talk to us to unlock the power of Data & AI in Life Sciences!

About the Client

Our client is a global pharmaceutical leader committed to driving progress in healthcare through cutting-edge research and transformative therapies. With a strong legacy of innovation and patient-centred solutions, the company harnesses science to improve lives and address global health challenges.

Transforming Drug Sentiment Analysis with AI, NLP & Predictive Modeling

The Challenge

The Solution

The Outcome

Talk to us to unlock the power of Data & AI in Life Sciences!

About the Client

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