Cost-Effectiveness of AI-Driven Autonomous Coding in Inpatient Settings: A Health Economic Model
1/30/2025 • Applied Clinical Informatics • License: CC BY-NC
Williams, J.
Abstract
This study presents a health economic model to evaluate the financial impact of deploying an AI-driven coding platform in a mid-sized hospital. The model calculated that by reducing manual coding staff by 40% and decreasing the claim denial rate by 3 percentage points, the AI platform yields a net annual savings of approximately $1.2 million. The return on investment (ROI) was achieved within 14 months of implementation.
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Clinical implications
A financial analysis concluded that a typical 300-bed hospital could save $1.2 million per year by using an AI platform for medical coding. These savings come from needing fewer coding staff and having fewer insurance claims denied, with the technology paying for itself in just over a year.
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