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A Data-Driven Framework for Identifying and Prioritizing RPA Opportunities in Healthcare Processes

Paper recorded by Signals 4 on 2026-09-08 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-08 on arXiv · recorded by Signals 4 on 2026-09-09

Category: cs.AI · 人工智能 · first seen 2026-09-09

Abstract

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 a

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#144 most recent of 300 cs.AI papers we have recorded · ↑ newer: NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Tim · ↓ older: Co-Evolving Harnesses and Models: On-Policy Correction Helps Weaker Mo
Cite this page: A Data-Driven Framework for Identifying and Prioritizing RPA Opportunities in Healthcare Processes: the #144 most recent of 300 cs.AI papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-data-driven-framework-for-identifying-and-prioritizing-rpa-opportunities-in-he.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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