Hugging Face Trending Papers

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

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The paper presents a four‑module, data‑driven framework to identify and prioritize robotic process automation (RPA) opportunities in U.S. hospitals. It includes a process taxonomy, an automation suitability index, a tool‑tier selection recommendation, and a return‑on‑investment analysis, all applied to a synthetic portfolio of twenty hospital processes. The authors demonstrate the framework’s robustness through Monte Carlo simulations and discuss governance and future validation steps.

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arXiv AI
Aug 26

FLARE: A Systematic, Uncertainty-Aware Framework for Evidence-Based Adoption of Artificial Intelligence in Healthcare

FLARE is a systematic, uncertainty‑aware framework that evaluates the financial and operational implications of adopting AI in healthcare. It integrates fuzzy logic, time‑driven activity‑based costing, and return‑on‑investment analysis to estimate costs of clinical service delivery, AI development and operation, and the economic impact of workflow integration. A case study on AI‑assisted large vessel occlusion detection in the CT stroke pathway demonstrated that FLARE can quantify conventional pathway costs, AI‑related costs, and AI‑enabled savings, identifying a break‑even threshold of about 3,992 patients per year and a positive first‑year ROI at typical stroke volumes of 5,000 patients.

By Jacob Idoko, Siddhartha Paudel, Mariana Bento, Roberto Souza, Gouri Ginde
arXiv AI
Aug 11

From Single Chatbots to Governed Agent Ecosystems: An Agentic AI Pattern Catalogue and Orchestration Framework for Mission-Critical Hospital Information Management Systems

arXiv:2608. 07627v1 Announce Type: new Abstract: Hospitals are racing to embed AI, while coping with the surge in adaptation of the technology in other industries, into the triage management, documentation, scheduling, and revenue-cycle workflows, yet most deployments remain as fragmented pilots that stall at the edge of production, exposing patients and institutions to operational fragility, ungoverned risk, and mounting technical debt.

By Manideep Dhar, Ritwik Singh, Sharat Chandra Kumar Manikonda