# Personalizing Prostate Cancer Education for Patients Using an EHR-Integrated LLM Agent

arXiv: https://arxiv.org/abs/2409.19100 · HTML: https://mlsanity.com/paper/2409.19100/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Sep 2024.

## Built on by (most cited first, 7 of 7)

- [MatrAIx: Simulating the World with 8.3 Billion Persona Agents](https://mlsanity.com/paper/2608.04205/) (2026)
- [MedOmni-45deg: A Safety-Performance Benchmark for Reasoning-Oriented LLMs in Medicine](https://mlsanity.com/paper/2508.16213/) (2025)
- [Automating SKILL.md Generation for Computer-Using Agents via Interaction Trajectory Mining](https://mlsanity.com/paper/2606.20363/) (2026)
- [Towards Better Health Conversations: The Benefits of Context-seeking](https://mlsanity.com/paper/2510.18880/) (2025)
- [The Daily Dose: Workflow-Integrated Large Language Model Automation for Clinical Summarization and Trial Identification in Radiation Oncology](https://mlsanity.com/paper/2605.26346/) (2026)
- [Improving Heart-Focused Medical Question Answering in LLMs via Variance-Aware Rubric Rewards with GRPO](https://mlsanity.com/paper/2606.05174/) (2026)
- [Exploration of Foundation Model-Based Robots in Patient and Elderly Care](https://mlsanity.com/paper/2606.10208/) (2026)

## Abstract (arXiv)

Cancer patients often lack timely education and personalized support due to clinician workload. This quality improvement study develops and evaluates a Large Language Model (LLM) agent, MedEduChat, which is integrated with the clinic's electronic health records (EHR) and designed to enhance prostate cancer patient education. Fifteen non-metastatic prostate cancer patients and three clinicians recruited from the Mayo Clinic interacted with the agent between May 2024 and April 2025. Findings showed that MedEduChat has a high usability score (UMUX 83.7 out of 100) and improves patients' health confidence (Health Confidence Score rose from 9.9 to 13.9). Clinicians evaluated the patient-chat interaction history and rated MedEduChat as highly correct (2.9 out of 3), complete (2.7 out of 3), and safe (2.7 out of 3), with moderate personalization (2.3 out of 3). This study highlights the potential of LLM agents to improve patient engagement and health education.