About the Customer
The customer is a US-based Biopharmaceutical company headquartered in Princeton, New Jersey focusing on oncology, immunology and cardiovascular diseases.
The Need
The customer faced significant difficulty in extracting information from various types of references, such as posters, articles, journals, and supplementary documents for the generation of Standard Response Documents (SRD).
Summarizing information from numerous individual references into coherent, standardized content was complex and time-consuming.
The main objectives included to achieve cost and time savings and create accurate, consistent content. The manually intensive process of generating SRD required a modern solution.
Indegene Solution
Indegene deployed a cross-functional team representing product, software development, Generative AI and medical information teams to ensure timely and high-quality delivery of the product.
The team meticulously detailed use cases, analyzed source references, conducted experiments, and customized Generative AI models. With the help of SMEs, the software development team created proprietary extraction and summarization model which could extract specific data from any journal article.
The extracted data was validated by the SMEs for accuracy and consistency of the AI model and the AI-generated SRDs.
Some of the key features of the Generative AI-based SRD creation solution were:
- User could upload any journal article (or export journal articles based on the literature search performed within the platform) and the platform would extract relevant data based on the model.
- User also had the ability to group multiple journal articles under a common topic in the model and create a single summary output.
- The platform had the ability to interpret data from figures and tables.
- The platform could also cite the journal article and create bibliography.
- User could interact with the platform to further refine/reformat responses to their query without having any technology background.
Outcomes
The Indegene team successfully streamlined the extraction of key information, enhancing the generation of SRDs.
Generative AI automated the categorization and extraction of relevant data, simplifying the process and reducing the time required to produce standardized content.
Implementing the Generative AI solution significantly reduced manual effort for the customer.
55%
of manual effort reduced
95%
accuracy achieved in documentation