SOURCE-LINKED INTELLIGENCE
A Data-Driven Framework for Identifying and Prioritizing RPA Opportunities in Healthcare Processes
Robotic Process Automation (RPA) is widely used to reduce administrative burden in United States hospitals, yet an estimated 30-50% of RPA initiatives underperform because processes are selected informally, without a repeatable method to catalogue candidates, prioritize them, match each to an automation tier -- a Python bot, an open-source orchestrator such as n8n, or an enterprise platform such as UiPath -- and forecast financial return before committing resources. We propose a four-module, data-driven framework unifying these decisions: a Process Taxonomy of twenty recurring hospital process
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-08T17:55:28.000Z
First collected: 2026-09-20T20:02:11.508Z. This is not the publication date.