Sina Amirrajab
completed2025

An AI-Powered Data Curation and Publishing Virtual Assistant

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 help patients improve harmonization, quality, and interoperability. This formative evaluation study assessed the usability of the first-generation (G1) prototype from the AIDAVA Horizon Europe project, recruiting patients with breast cancer and cardiovascular disease from three European countries. An intuitive front-end, supported by AI and non-AI curation tools and developed across two generations, let patients ingest and curate their personal health data into a personal health knowledge graph representing their integrated, high-quality medical records. Usability of G1 was assessed using the system usability scale, informing the design of the next-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 two generations. G1 was based on existing curation tools and early prototypes of tools being developed. Patients were tasked with ingesting and curating their personal health data, creating a personal health knowledge graph that represented their integrated, high-quality medical records. Usability of G1 was assessed using the system usability scale.