An AI-powered data curation and publishing virtual assistant: usability and explainability/causability of, and patient interest in the first-generation prototype.

ABSTRACT:

Introduction

Ensuring high quality and reusability of personal health data is costly and time-consuming. An AI-powered virtual assistant for health data curation and publishing could support patients to ensure harmonization and data quality enhancement, which improves interoperability and reusability. This formative evaluation study aimed to assess the usability of the first-generation (G1) prototype developed during the AI-powered data curation and publishing virtual assistant (AIDAVA) Horizon Europe project.

Methods

In this formative evaluation study, we planned to recruit 45 patients with breast cancer and 45 patients with cardiovascular disease from three European countries. An intuitive front-end, supported by AI and non-AI data curation tools, is being developed across

SUBMITTER: van Mierlo R 

PROVIDER: S-EPMC12576891 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature