The Art of Prompt Engineering for Medical Coding

In “The Art of Prompt Engineering for medical coding,” you will be enlightened about the pivotal role of prompts in shaping the behavior of generative AI models, focusing on use cases to determine accurate diagnosis codes. From understanding the challenges unique to healthcare prompts to presenting strategies for effective prompting, this presentation offers a comprehensive exploration. Real-world case studies highlight successful applications, while future trends and challenges provide a holistic view of prompt engineering’s evolving landscape in the healthcare domain.”

About the speaker

Leo Janze

Sr. Director of Data Engineering
at Optum

As Sr. Director of Data Engineering at Optum, Leo leads teams to gain insights from medical records. This improves patient outcomes and streamlines payments and healthcare operations.

Prior to Optum Leo was VP of Engineering at Apixio, an AI startup that extracts clinical insights from billions of healthcare records. At Apixio Leo led the design and development of a fully managed Healthcare AI platform.

Prior to Apixio, he led engineering and product management teams at multiple startups and Fortune 500 companies.

Leo received his Master’s Degree in Computer Science from the University of Uppsala, holds two patents, and is a graduate of the Engineering Leadership Program at UC Berkeley.

When

Sessions: April 5th – 6th 2022
Trainings: April 12th – 15th 2022

Contact

nlpsummit@johnsnowlabs.com

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