A Complex Data Warehouse for Personalized, Anticipative Medicine

TL;DR

This paper introduces a complex, adaptable data warehouse for high-level athletes that integrates heterogeneous medical data to support personalized, anticipative medicine and broad statistical studies.

Contribution

It presents a novel data warehouse design capable of storing complex medical data for personalized and anticipative healthcare analysis across multiple medical fields.

Findings

Supports personalized and anticipative medicine for specific patients.

Enables broad statistical studies over patient populations.

Designed to evolve with future medical research advances.

Abstract

With the growing use of new technologies, healthcare is nowadays undergoing significant changes. Information-based medicine has to exploit medical decision-support systems and requires the analysis of various, heterogeneous data, such as patient records, medical images, biological analysis results, etc. In this paper, we present the design of the complex data warehouse relating to high-level athletes. It is original in two ways. First, it is aimed at storing complex medical data. Second, it is designed to allow innovative and quite different kinds of analyses to support: (1) personalized and anticipative medicine (in opposition to curative medicine) for well-identified patients; (2) broad-band statistical studies over a given population of patients. Furthermore, the system includes data relating to several medical fields. It is also designed to be evolutionary to take into account future advances in medical research.