FREIDA - Fracture Risk Evaluation using Highly Efficient Information Retrieval and Analysis of Large Healthcare Datasets

This paper presents an approach based on optimized data search and data analysis of high dimensional clinical health records, for the purpose of identifying the patients with significant risk of fracture to be introduced to the Fracture Liaison Service (FLS) for further investigations and treatment. The main objective of the work is to speed up and automate the process of identifying the patients suitable for FLS and provide a real decision support for the clinical team by fast information retrieval and structuring. The performed analysis and the current results are promising and support our research aim for the optimization of the process in the real life scenario.