was successfully added to your cart.

Finance AI Applications Blog

While the promise of a single, monolithic model that solves all denial issues at once is attractive, a more pragmatic and effective path often begins with focusing on high-impact, well-scoped use cases. These targeted applications are not only easier to audit and validate, but they also yield insights that can be generalized and scaled over time. Ultimately, this modular approach, leveraging tailored AI tools that align with healthcare's complex documentation and compliance environment, offers a more reliable and sustainable path to reducing denials, strengthening financial outcomes, and most importantly, protecting the patient experience. By preventing avoidable billing errors and ensuring timely access to authorized care, such systems can reduce unnecessary stress and confusion for patients, helping preserve the trust and continuity that are foundational to quality healthcare.

Blog

Preventing the preventable: how smart AI systems can reduce claim denials The envelope arrived on a Friday afternoon. Elaine Carter had just returned from her second round of physical therapy,...

Grant will fund R&D of LLMs for automated entity recognition, relation extraction, and ontology metadata...

The advent of Large Language Models (LLMs) has revolutionized the field of Natural Language Processing (NLP), unlocking unprecedented capabilities in understanding and generating human language. In this talk we will...

Generative AI & LLM Models in the Banking Industry by Supriya Raman - VP Data Science at JPMorgan

CONAN (Contract Analytics) is an application developed in collaboration between the Data Office Group Functions and the Legal department of Merck KGaA. It leverages AI capabilities to enable on demand...
preloader