Revolutionizing Commercialization IT

Revolutionizing Commercialization with Generative AI: A Conversation with EVERSANA

232 Views 35 Comments 24th March 2019

Introduction:

In the ever-evolving landscape of healthcare and life sciences, innovation is a driving force. EVERSANA, a frontrunner in providing commercial services to the life sciences industry, is pioneering the use of generative artificial intelligence (AI) applications. These applications are poised to not only enhance operational efficiency but also deliver enhanced patient outcomes. In a recent conversation, Scott Snyder, Chief Digital Officer at EVERSANA, discussed the transformative potential of generative AI with Ujjwal Ratan, a leader in data science and machine learning (ML) for healthcare and life sciences at Amazon Web Services (AWS). This conversation sheds light on how generative AI is reshaping the industry and the importance of responsible innovation.

Mission of EVERSANA:

At the heart of EVERSANA's mission is a commitment to assist life sciences companies in managing product launches, commercialization, and addressing specific program and patient needs. Their integrated commercial services span the entire lifecycle of products, from market access and marketing to medical affairs, patient support, and supply chain management. EVERSANA's goal is to create and execute brand strategies that drive substantial business impact while improving patient outcomes.

The Role of AI and ML in Achieving the Mission:

AI and ML are indispensable tools in achieving EVERSANA's mission. Across the life sciences industry, organizations are increasingly turning to these technologies to enhance patient experiences, digitize operations, and make data-driven decisions. AI can revolutionize various aspects of the ecosystem, from drug pricing and promotion to access, reimbursement, adherence, and product delivery. EVERSANA sees immense opportunities to leverage AI for more efficient and targeted solutions.

"Pharmatizing" AI for the Life Sciences Industry:

The term "pharmatizing" AI refers to tailoring AI innovations to meet the unique needs and ethical standards of the industry. It involves aligning AI capabilities with transparency, trust, safety, security, and privacy considerations. The aim is to harness AI's power while maintaining responsible and ethical practices. For instance, AI can be employed to create personalized content and patient interactions while ensuring data security and preventing potentially harmful recommendations.

  • Medical and Regulatory Review Process Solutions: Automation of time-consuming compliance operations.
  • Field and Patient Assistance Solutions: Implementation of chatbots to automate tasks, provide accurate responses, and enhance user experiences.
  • Disease and Product Education Content Generation: Personalization of content to improve engagement and education for healthcare providers and patients.

Collaboration with AWS:

EVERSANA collaborates with AWS to bring generative AI use cases to life. Amazon Bedrock serves as the foundation for unlocking a range of applications, offering flexibility through pre-built models and the option to bring custom models. AWS's commitment to privacy, transparency, security, and responsible innovation aligns seamlessly with EVERSANA's values, ensuring that the right guardrails are in place to benefit patients. AWS's industry solutions also enjoy high credibility among organizations served by EVERSANA.