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28 June 2024

HEALTH DATA WAREHOUSES: WHAT'S AT STAKE BEFORE THEIR POSSIBLE SECONDARY USE BY ARTIFICIAL INTELLIGENCE ALGORITHMS?

Published by Fleur Mougin and Gayo Diallo | N° 213 - AI & Healthcare & Digital & Defense

Inhealthcare, real-life data is highly coveted, as it represents authentic information in all its complexity. Its value lies not only in its authenticity, but also in its rarity. Health Data Warehouses (HDWs), which are massive databases containing the medical information of a large population, have developed considerably in recent years, driven by the French government.In recent years, health data warehouses (HDWs), which are massive databases containing medical information from a large population, have been widely developed, driven by public authorities in particular, and mainly in hospitals, in order to make secondary use of health data for research purposes. These EDS are increasingly being used to test artificial intelligence (AI) algorithms, with the aim of improving disease diagnosis and treatment, as well as medical research.


However, before DHS health data can be used by AI algorithms, several challenges must be overcome. One of the main ones is protecting patient privacy. Healthcare data is sensitive and confidential, and it is crucial to put in place robust security measures to guarantee its confidentiality and patient anonymity. Data quality is another major issue. DHSs may contain errors, inconsistencies or have gaps, which can compromise the effectiveness of AI algorithms that rely on this data. Rigorous data...
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Authors

Fleur Mougin
Gayo Diallo

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