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An Improvement in the Appointment Scheduling in Primary Health Care Centers Using Data Mining

  • Juan José Cubillas
  • M. Isabel Ramos
  • Francisco R. Feito
  • Tomás Ureña
Systems-Level Quality Improvement
Part of the following topical collections:
  1. Systems-Level Quality Improvement

Abstract

An optimal resource management in health care centers implies the use of an appropriate timetabling scheme to schedule appointments. Timetables of health centers are usually divided into time slots whose duration is equal to time required for clinical attendance. However doctors perform a series of tasks that are not always clinical in nature: issuing prescriptions or prescribing sick leave certificates. In this sense the time spent in attending a clinical or an administrative matter is different. This last required less time to attend the patient. This study is focused in the administrative task. A predictive model is generated to provide daily information on how many patients will go to the health center for an administrative issue. The accuracy of the model is less than 4,6 % absolute error and the improvement in scheduling appointments is a time saving of 21,73 %.

Keywords

Appointment scheduling Primary health care Data mining 

Notes

Acknowledgments

This work has been partially supported by the Andalusian Health Service. Department of Equality, Health and Social Policies of the Junta of Andalusia, Spain.

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Juan José Cubillas
    • 1
  • M. Isabel Ramos
    • 2
  • Francisco R. Feito
    • 3
  • Tomás Ureña
    • 4
  1. 1.TIC-144 Andalusian Research Plan (PAI), Department of Computer ScienceUniversity of JaenJaenSpain
  2. 2.Department of Cartography, Geodesy and Photogrammetry EngineeringUniversity of JaenJaenSpain
  3. 3.Department of Computer ScienceUniversity of JaenJaenSpain
  4. 4.Jaen Sanitary DistrictAndalusian Health ServiceJaenSpain

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