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Communication Dans Un Congrès Année : 2022

The Patient Path: a first approach

Résumé

European healthcare systems are faced with multiple challenges, including an aging population, an increase in chronic diseases and patients with multi-morbidity, and limited financial and human resources. The response to these challenges is based in particular on the organisation of care into care pathways. Namely, Once the data necessary for the construction of a care pathway are acquired and processed, one has to model the patient pathway mathematically in a generic way. After that, using clustering algorithms, one can identify patients subgroups, then, mine for common treatments, predict the future of patient pathways and answer clinicians’ questions. All these steps would lead to an automated processes which has to be evaluated by medical experts. Available statistical methods remain limited and inefficient to construct care pathways. Indeed, data obtained from health care providers and insurance companies are all time-dependent, highly heterogeneous, qualitative in part, with several thousand possible modalities and mainly made up of missing data. We propose an approach based on functional data analysis combined with longitudinal data analysis in order to construct care pathways.
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Dates et versions

hal-03942217 , version 1 (16-01-2023)

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  • HAL Id : hal-03942217 , version 1

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Rim Essifi. The Patient Path: a first approach. CMStatistics 2022 - The 15th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2022, Londres, United Kingdom. ⟨hal-03942217⟩
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