Using Generative AI for Data Extraction Clinical Support

Clinical reviewers frequently face the challenge of adapting to diverse data sources and formats. To address this issue, Evernorth has developed an innovative clinical support tool designed to facilitate rapid and efficient access to necessary information, irrespective of data structure or format. The development of this end-to-end integrated solution within a six-month timeframe required cross-functional team collaboration and the implementation of cutting-edge methodologies. Utilizing advanced natural language processing (NLP) techniques, large language models (LLMs), and a cloud-based architecture, the resulting system demonstrates high accuracy and reliability. This presentation will outline the core principles guiding the project, key insights gained, and the achieved outcomes.

About the speaker

Chris Markson

Chris Markson

Data Science Senior Manager
at Evernorth

Chris Markson holds a PhD in Informatics/Computer Science from the New Jersey Institute of Technology, with a specialization in Natural Language Processing. With over a decade of experience at Cigna, as part of the Evernorth Research Institute, Chris has led the development of numerous innovative clinical models, text-based models, and operations/analytical application solutions. His contributions have resulted in the issuance of over 10 patented technologies.

NLP-Summit

When

Sessions: April 2nd – 3rd 2024
Trainings: April 15th – 19th 2024

Contact

nlpsummit@johnsnowlabs.com

Presented by

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