# Evaluation of AI Chatbots for Patient-Specific EHR Questions

Source: [Evaluation of AI Chatbots for Patient-Specific EHR Questions](<https://www.sota2.com/research/paper/68fa6fa01e209131cea46bca>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-26T01:24:25.039Z

Authors: Alaleh Hamidi, Kirk Roberts

Published: 2023-06-05T02:52:54.000Z

## Abstract

This paper investigates the use of artificial intelligence chatbots for patient-specific question answering (QA) from clinical notes using several large language model (LLM) based systems: ChatGPT (versions 3.5 and 4), Google Bard, and Claude. We evaluate the accuracy, relevance, comprehensiveness, and coherence of the answers generated by each model using a 5-point Likert scale on a set of patient-specific questions.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2306.02549>)

[PDF](<https://arxiv.org/pdf/2306.02549.pdf>)