A Data-Driven Framework for Identifying and Prioritizing RPA Opportunities in Healthcare Processes
[Sztuczna inteligencja] Autorzy: Maria Alejandra Gomez, Juan Manuel Castillo
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 processes across five value streams; a Prioritization module deriving an Automation Suitability Index from an Analytic Hierarchy Process matrix with an explicit consistency check; a Tool-Tier Selection module recommending the least-cost technology sufficient for a process complexity, integration, and comp…
- Kategoria arxiv
- cs.AI
- Kategoria
- Sztuczna inteligencja