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Authors: D. G. Ramírez-Ríos 1 ; Laura P. Manotas Romero 1 ; Heyder Paez-Logreira 1 ; Luis Ramírez 1 and Yohany Andrés Jimenez Florez 2

Affiliations: 1 FCIMEC, Colombia ; 2 Logyca, Colombia

ISBN: 978-989-758-075-8

Keyword(s): Data Mining, Databases, Secretary of Health, Duplicities, Healthcare System.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Mining and Business Analytics ; Decision Support Systems ; Information Systems ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Methodologies and Technologies ; Operational Research ; Optimization ; Symbolic Systems

Abstract: This paper considers the application of data mining (DM) algorithms as a feasible and necessary strategy for optimal management of databases (DB) in the national healthcare systems. Specifically it deals with the management of multiple DB that consider patient’s affiliation information, under the supervision of the authorities in healthcare, an issue that involves not only the issues of every citizen but also its integral right to be treated by any institution. We support the idea that the administrative part of the healthcare system should not obstruct the attention of the patient and a total efficiency must be guaranteed. We believe that DM algorithms are appropriate for this task and human intervention should be minimized. A case study was developed in Colombia that considered the multiple affiliations to DB and its integration to a unique DB managed by the District Health Secretary (DHS, which detected frauds and other type of duplicities. The mechanism used to approach this, indi cates not only a significant reduction of manual intervention of the DB, but also allows the extraction of data for future analysis, supporting the patient’s need for an efficient and integral health attention, as well as privacy of personal information registered. (More)

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Paper citation in several formats:
G. Ramírez-Ríos, D.; P. Manotas Romero, L.; Paez-Logreira, H.; Ramírez, L. and Andrés Jimenez Florez, Y. (2015). Data Mining for the Unique Identification of Patients in the National Healthcare Systems.In Proceedings of the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-075-8, pages 211-217. DOI: 10.5220/0005287302110217

@conference{icores15,
author={D. G. Ramírez{-}Ríos. and Laura P. Manotas Romero. and Heyder Paez{-}Logreira. and Luis Ramírez. and Yohany Andrés Jimenez Florez.},
title={Data Mining for the Unique Identification of Patients in the National Healthcare Systems},
booktitle={Proceedings of the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2015},
pages={211-217},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005287302110217},
isbn={978-989-758-075-8},
}

TY - CONF

JO - Proceedings of the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - Data Mining for the Unique Identification of Patients in the National Healthcare Systems
SN - 978-989-758-075-8
AU - G. Ramírez-Ríos, D.
AU - P. Manotas Romero, L.
AU - Paez-Logreira, H.
AU - Ramírez, L.
AU - Andrés Jimenez Florez, Y.
PY - 2015
SP - 211
EP - 217
DO - 10.5220/0005287302110217

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