Cover Image

HealthProcessAI: A Technical Framework and Proof-of-Concept for LLM-Enhanced Healthcare Process Mining

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Illueca-Fernandez, Eduardo, Chen, Kaile, Seoane, Fernando, Abtahi, Farhad
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MEDLEY-BENCH: Scale Buys Evaluation but Not Control in AI Metacognition
by: Abtahi, Farhad, et al.
Published: (2026)

Data Poisoning Vulnerabilities Across Healthcare AI Architectures: A Security Threat Analysis
by: Abtahi, Farhad, et al.
Published: (2025)

Leveraging Imperfection with MEDLEY A Multi-Model Approach Harnessing Bias in Medical AI
by: Abtahi, Farhad, et al.
Published: (2025)

From Black Box to Glass Box: Cross-Model ASR Disagreement to Prioto Review in Ambient AI Scribe Documentation
by: Karbalaie, Abdolamir, et al.
Published: (2026)

AEGIS: An Operational Infrastructure for Post-Market Governance of Adaptive Medical AI Under US and EU Regulations
by: Afdideh, Fardin, et al.
Published: (2026)

PMAx: An Agentic Framework for AI-Driven Process Mining
by: Antonov, Anton, et al.
Published: (2026)

Industrial-Grade Smart Troubleshooting through Causal Technical Language Processing: a Proof of Concept
by: Trilla, Alexandre, et al.
Published: (2024)

AI-Enhanced Business Process Automation: A Case Study in the Insurance Domain Using Object-Centric Process Mining
by: Khayatbashi, Shahrzad, et al.
Published: (2025)

ProcessTBench: An LLM Plan Generation Dataset for Process Mining
by: Redis, Andrei Cosmin, et al.
Published: (2024)

Securing LLM-Generated Embedded Firmware through AI Agent-Driven Validation and Patching
by: Abtahi, Seyed Moein, et al.
Published: (2025)

Re-Thinking Process Mining in the AI-Based Agents Era
by: Berti, Alessandro, et al.
Published: (2024)

LLM Driven Processes to Foster Explainable AI
by: Pehlke, Marcel, et al.
Published: (2025)

INEXA: Interactive and Explainable Process Model Abstraction Through Object-Centric Process Mining
by: Benzin, Janik-Vasily, et al.
Published: (2024)

Increasing AI Explainability by LLM Driven Standard Processes
by: Jansen, Marc, et al.
Published: (2025)

Transparent, Evaluable, and Accessible Data Agents: A Proof-of-Concept Framework
by: Bahador, Nooshin
Published: (2025)

Rewarding Structural Conformance of Reasoning using Process Mining
by: Lee, Yongjae, et al.
Published: (2025)

Effect of a Process Mining based Pre-processing Step in Prediction of the Critical Health Outcomes
by: Ashrafi, Negin, et al.
Published: (2024)

Technical Language Processing for Telecommunications Specifications
by: Y., Felipe A. Rodriguez
Published: (2024)

Process Mining Embeddings: Learning Vector Representations for Petri Nets
by: Colonna, Juan G., et al.
Published: (2024)

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study
by: Parkington, Karisa, et al.
Published: (2025)

M2-PALE: A Framework for Explaining Multi-Agent MCTS--Minimax Hybrids via Process Mining and LLMs
by: Qian, Yiyu, et al.
Published: (2026)

PriHA: A RAG-Enhanced LLM Framework for Primary Healthcare Assistant in Hong Kong
by: Chan, Richard Wai Cheung, et al.
Published: (2026)

ProofCompass: Enhancing Specialized Provers with LLM Guidance
by: Wischermann, Nicolas, et al.
Published: (2025)

Navigating Process Mining: A Case study using pm4py
by: Jlidi, Ali, et al.
Published: (2024)

AI Co-Scientist for Knowledge Synthesis in Medical Contexts: A Proof of Concept
by: Rahgozar, Arya, et al.
Published: (2026)

RATIONALYST: Mining Implicit Rationales for Process Supervision of Reasoning
by: Jiang, Dongwei, et al.
Published: (2024)

Totalitarian Technics: The Hidden Cost of AI Scribes in Healthcare
by: Brosnahan, Hugh
Published: (2025)

Improving Hospital Process Management through Process Mining: A Case Study on COVID-19 Clinical Pathways
by: Ardimento, Pasquale, et al.
Published: (2026)

Process Mining for Unstructured Data: Challenges and Research Directions
by: Koschmider, Agnes, et al.
Published: (2023)

Process Reward Models for LLM Agents: Practical Framework and Directions
by: Choudhury, Sanjiban
Published: (2025)

Scalable LLM-based Coding of Dialogue in Healthcare Simulation: Balancing Coding Performance, Processing Time, and Environmental Impact
by: Garces, Kiyoshige, et al.
Published: (2026)

A Process Mining-Based System For The Analysis and Prediction of Software Development Workflows
by: Dorado, Antía, et al.
Published: (2025)

Towards Reproducibility in Predictive Process Mining: SPICE -- A Deep Learning Library
by: Stritzel, Oliver, et al.
Published: (2025)

Fairness in Healthcare Processes: A Quantitative Analysis of Decision Making in Triage
by: Andreswari, Rachmadita, et al.
Published: (2026)

Tailoring Machine Learning for Process Mining
by: Ceravolo, Paolo, et al.
Published: (2023)

On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks
by: Rebmann, Adrian, et al.
Published: (2025)

Not the Example, but the Process: How Self-Generated Examples Enhance LLM Reasoning
by: Gwak, Daehoon, et al.
Published: (2026)

Navigating the Alpha Jungle: An LLM-Powered MCTS Framework for Formulaic Factor Mining
by: Shi, Yu, et al.
Published: (2025)

Enhancing Temporal Awareness in LLMs for Temporal Point Processes
by: Chen, Lili, et al.
Published: (2025)

Knowledge Graph Fusion with Large Language Models for Accurate, Explainable Manufacturing Process Planning
by: Hoang, Danny, et al.
Published: (2025)