Rethinking Pharma Data Collaboration: A Data Management Primer on Federated Learning

In the age of data-driven pharmaceutical innovation, managing sensitive healthcare data while enabling meaningful collaboration remains a complex challenge. With rising demands for real-world evidence, faster drug development, and compliance with stringent privacy regulations like GDPR and HIPAA, the pharmaceutical industry must reimagine how it shares and utilizes data. The traditional approaches to data sharing simply aren’t cutting it. It’s clear: the industry must fundamentally reimagine its data strategy. This is precisely where Federated Learning (FL) emerges as a game-changer. It allows organizations to collaboratively train sophisticated AI models without ever centralizing sensitive datasets, effectively bridging the chasm between collaboration and privacy.

Read more in our POV here Rethinking Pharma Data Collaboration

Author Details

Saarthak Gupta

Saarthak is a consultant in Infosys Consulting’s Life Sciences practice within the LS Data Transformation Team with more than 6 years of professional experience. He has experience in Life Sciences, Healthcare, Information Technology and Ed-Tech industries. He has worked in multiple engagements on Data Analytics, Data Migration and Transformation, Data Quality Management, Reference Data Management and Net Revenue Management.

Pragnya Koya

Pragnya is a Business Consulting professional with 4+ years of experience in the Healthcare and Life Sciences sectors. She brings a robust blend of expertise in product development, performance reporting and improvement, and customer experience enhancement, consistently leveraging strong data management and analytical skills to drive tangible results.

Nitisha Nitin Patil

Nitisha is an experienced Analyst with a strong background in the Healthcare and Life Sciences industries. She brings expertise in stakeholder management, data analysis, and business process understanding. Her proficiency spans stakeholder engagement, requirement analysis, data interpretation, and cross-functional collaboration to deliver impactful business solutions.

Ramya Gunza

Ramya is a seasoned Senior Business Consultant with over 8 years of experience within the Healthcare and Life Sciences industries, posssing deep expertise in data management, data quality, and business intelligence. Her proficiency extends to Data Office initiatives, Commercial Excellence strategies, and delivery of impactful data-driven solutions.

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