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01-08-2014 | Systems-Level Quality Improvement

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

Authors: Juan José Cubillas, M. Isabel Ramos, Francisco R. Feito, Tomás Ureña

Published in: Journal of Medical Systems | Issue 8/2014

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 %.

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Title: An Improvement in the Appointment Scheduling in Primary Health Care Centers Using Data Mining
Authors: Juan José Cubillas
M. Isabel Ramos
Francisco R. Feito
Tomás Ureña
Publication date: 01-08-2014
Publisher: Springer US
Published in: Journal of Medical Systems / Issue 8/2014
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI: https://doi.org/10.1007/s10916-014-0089-y

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

Abstract

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Abstract

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