Inside AI-driven medical coding

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Exploring AI and ML technologies in healthcare

Workforce shortages, regulatory complexities and economic challenges have put hospitals and health systems under immense pressure to improve operational efficiency, accelerate payments and reduce costs. In 2022, over half of hospitals operated at a loss, and the situation in 2023 wasn’t any better due to a 12.4% economy-wide inflation surge that outpaced Medicare reimbursements for hospital inpatient care ^[1]. Failure to confront these issues could lead to hospital closures, further limiting access to care, a fate that has already befallen many hospitals across the nation.

Intelligent healthcare technology, particularly medical coding automation, holds immense promise in solving ongoing challenges faced by healthcare providers, and that makes it crucial...

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