Data Extraction Table for a Scoping Review Comparing ChatGPT and Google Search in Health Self-Consultation (2023–2025)

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Magdalena Trillo-Domínguez, Juan Ignacio Martin Neira, María‐Dolores Olvera‐Lobo
DOI: 10.5281/zenodo.18510247
Cited by: 0

Abstract

This file contains the structured data extraction table used in the scoping review titled "Dr. Google vs. Dr. ChatGPT in Online Health Self-Consultation: A Scoping Review of Accuracy, Bias, and Actionability (2023–2025)".The table summarizes key information from the 42 empirical studies included in the review, including authorship, year of publication, medical specialty, study design, main findings, and comparative performance of ChatGPT and Google Search.The file is provided in .xlsx (Microsoft Excel) format and supports transparency and reproducibility of the review process.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Health Literacy and Information Accessibility Information Retrieval and Search Behavior

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 February 2026