The Collaborative Core: A Human-in-the-Loop Artificial Intelligence Model for Resilient Healthcare Revenue Cycle Management

Abstract

The Healthcare Revenue Cycle Management (RCM) landscape is struggling with issues such as coding complexity, payer diversity, labor shortage, and data silos. The Collaborative Core proposes a Human-in-the-Loop (HITL) Artificial Intelligence model that will be used to strategically combine AI efficiency and human judgment throughout the RCM lifecycle. This model is cost-effective as it directs mundane work to AI automation, leaving human insight to make complex decisions, which would congruently improve both efficiency and accuracy. The framework makes use of interoperability standards, distributed ledger technologies, and sophisticated AI tools, along with explicit handoff procedures between fully automated and human processes. The results of the implementation have shown positive changes in the charge capture process, claim processing, posting of payments, and the ability to manage denials, and improve provider, insurer, and patient outcomes. The Collaborative Core is an innovative solution to the complex problem of healthcare financial management, which is used in collaboration with current trends toward technological control by ensuring that it is not lost in the algorithmic bias and human adjustment to working with technology.