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Communication Dans Un Congrès Année : 2024

Towards a novel Data Mining System for Medication Error Management

Résumé

Medication errors associated with the Medication Use Process present significant risks and require effective management. However, current practices do not address these risks. There is a lack of awareness that medication errors are unintended risks, and a lack of dedicated systems to manage them. To overcome these limitations, a digital system exploiting massive medical data (big data) is proposed. By integrating various data sources, this system aims to provide adaptable medication errors’ management and continuous improvement. This article presents an overview of the system requirements and highlights the potential of Data Mining in healthcare. Implementing this system could revolutionize medication error management and improve patient safety.
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Dates et versions

hal-04531780 , version 1 (15-04-2024)

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Hanae Touati, Rafika Thabet, Franck Fontanili, Marie-Hélène Cleostrate, Marie-Noëlle Cufi, et al.. Towards a novel Data Mining System for Medication Error Management. AICCSA 2023 - International Conference on Computer Systems and Applications, Dec 2023, Giza, France. pp.1-6, ⟨10.1109/AICCSA59173.2023.10479309⟩. ⟨hal-04531780⟩
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