Access to timely and accurate information is crucial in the life sciences industry. It drives innovation and improves patient outcomes. However, pharmaceutical companies, research organizations, and healthcare providers face challenges gathering data from diverse sources like scientific literature, clinical trial data, and regulatory documents. Exponential growth and heterogeneity of data also create inefficiencies.
A leading US-based pharmaceutical company faced challenges in managing its voluminous knowledge databases, which included market research studies, awareness, trial, and usage (ATU) studies, and regulatory filings. Traditional data access methods were slow to find insights, hindering productivity and decision-making agility.
This case study illustrates how this major pharmaceutical organization streamlined knowledge retrieval using advanced technologies such as Large language models (LLMs), generative AI (GenAI), and context-based query engines to enhance decision-making and manage vast datasets effectively. Axtria’s GenAI-based solutions delivered tangible benefits such as on-demand access to nuanced knowledge.
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On-demand knowledge: Efficient access to nuanced information eliminated manual searches, reducing the time and effort needed to find actionable data.
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Flexibility across multiple file types: The solution handled various file formats (.pptx, .pdf, .txt, and .docx), allowing seamless insight retrieval from diverse documents and enhancing usability across different functions.
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Scalability: The system accommodated different business units, tailoring its functionality to meet the specific needs of researchers, marketers, and executives, ensuring widespread adoption.
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Enhanced accessibility: Intuitive navigation and user-friendly interfaces empower users with varying technical expertise.
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Improved decision-making and productivity: Streamlined knowledge discovery boosted productivity by enabling employees to focus on higher-value tasks and provided decision-makers with timely information for informed strategic decisions.
The successful implementation of a context-based query engine and chatbot UI marked a significant milestone for the pharmaceutical company. This innovation revolutionized knowledge discovery and decision-making, fostering a culture of operational excellence. The system enhanced strategic alignment across all organizational levels by providing users with timely and relevant insights.
Contact us at connect@axtria.com with any questions.
