How Generative AI and Large Language Models Are Bringing Innovation to the Revenue Cycle
Co-authored by Johns Hopkins Health System
and AKASA
This whitepaper delves into the groundbreaking role of generative AI (GenAI) and large language models (LLMs) in revolutionizing healthcare, specifically focusing on revenue cycle management. By deeply understanding the patient record, GenAI can increase the accuracy and speed of completed tasks, improve workflow efficiency, and do things never before possible.
This paper presents a compelling use case of how Johns Hopkins Health System and AKASA have deployed this technology to improve prior authorization, offering leaders a tangible solution to:
- Reduce operating costs
- Enhance productivity
- Drive revenue
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Lakmini Kidder, Vice President of Revenue Cycle Management at Johns Hopkins Health System
Malinka Walaliyadde, CEO and co-founder at AKASA