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Top Results
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Industry
Life Sciences
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Patient-centered Care Models Taking Center Stage in Life Sciences
Read how patient-centric care models and pharma innovation are ushering new trends in life sciences to improve patient outcomes and enrich lives.
Related Insights
Learn how an integrated approach to packaging, artwork, and labeling management can effectively and efficiently manage the process and improve pharma compliance.
White Paper
23 Dec 2024
At the TCS Pace Port™, leaders explored the immense potential of AI and generative AI in the pharma industry during the Life Sciences Forum event. Learn more.
Article
02 Dec 2024
With EU MDR’s deadline extension, medtech manufacturers can leverage next-gen technologies and build on connected, collaborative, and cognitive value chains.
White Paper
29 Nov 2024
Products and Platforms
TCS ADD™
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TCS ADD™: A Suite of Modern and Open Technology Platforms
TCS ADD™ is a suite of modern and open technology platforms for clinical research and drug development that helps make clinical trials more agile and safe.
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This paper highlights challenges in data transfer agreement and demonstrates how the proposed e-DTA solution can transform the clinical trial industry.
White Paper
18 Dec 2024
Engage with our experts at the World Drug Safety Congress Americas 2024 to learn about AI in pharmacovigilance and our TCS ADD™ Safety platform. Join us now.
Events
09 Sep 2024
Join us at the life sciences event to learn how AI and generative AI can accelerate next-gen clinical R&D and enhance patient safety. Register now for the event.
Events
07 Aug 2024
Staying up to date with regulatory requirements, especially in the field of life sciences, is extremely important.
Life sciences organizations must adhere to these changing regulations and take data-driven decisions. Manual regulatory website search process is extremely time-consuming and effort-intensive. The sheer data volume, extracting information from unstructured data, limitations of the tools, expertise, and effort required to absorb all the data and interpret the insights for decision making are some of the inherent challenges today. Compliance to data privacy regulations like GDPR (General Data Protection Regulation) and HIPAA (Health Insurance Portability and Accountability Act) further adds to the complexity.
Conversational AI-based solutions have advantages such as natural interaction, contextual awareness, accessibility, scalability, personalization, and multilingual capabilities. LLM (Large Language Model) capabilities include natural language processing, text generation, information retrieval, reasoning, and personalization.
Conversational chatbots in tandem with GenAI solutions based on LLMs are useful to address the challenges with regulatory intelligence. They provide reliable, consistent, and robust building blocks to offer conversational assistance to regulatory professionals.
By utilizing conversational AI, it is simpler to implement user flow and accommodate business logic easily instead of relying on LLMs to guess the flows. The domain knowledge can be stored in a knowledge repository for easy access.
LLMs will help in making the chatbot with minimal training of intents and business flow and providing appealing responses to user queries.
The solution comprises of a natural language understanding (NLU) engine capable of performing intent classifications, entity extraction and dialogue management, LLMs, and a knowledge repository.
The regulatory assistance chatbot provides an easy-to-use interface to regulatory professionals by eliminating the need to visit different sources. It can provide real-time updates, historical information, and guidance on regulatory changes. The knowledge repository gives the chatbot a contextual understanding of the domain and business knowledge. All these together make it possible to devise an effective regulatory strategy. This ultimately leads to improved compliance, faster decision-making, and better patient outcomes.
Please visit the link below to read the complete paper from where these excerpts have been extracted:
About the authors
Image of Saurabh Das
Saurabh Das
Saurabh Das is part of Life Sciences, Advanced Drug Development (ADD) at TCS. In his current role, he is the Product Manager of TCS' pharmacovigilance platform: Integrated Patient Safety.
Image of Rohit Kadam
Rohit Kadam
Rohit Kadam is a Researcher at TCS. He is associated with TCS ADD as a Researcher in the R&I Team for nearly four years and contributed extensively in developing key solutions for the TCS healthcare domain.
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