2010
DOI: 10.9746/sicetr.46.245
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An Estimation Method of Waiting Time for Health Service at Hospital by Using a Portable RFID and Robust Estimation

Abstract: Patients that have an health service by doctor have to wait long time at many hospitals. The long waiting time is the worst factor of patient's dissatisfaction for hospital service according to questionnaire for patients. The present paper describes an estimation method of the waiting time for each patient without an electronic medical chart system. The method applies a portable RFID system to data acquisition and robust estimation of probability distribution of the health service and test time by doctor for h… Show more

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Cited by 4 publications
(4 citation statements)
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“…The method is developed in accordance with tens of data of outpatients that visited a hospital in the morning on some day in March of 2009. It is described in Ishigaki et al (2010) that further data acquisition and verification tests are required to put the method in Ishigaki et al (2010) into practical use. Besides, the definition of waiting time in Ishigaki et al (2010) is different from that in this paper.…”
Section: Preliminariesmentioning
confidence: 99%
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“…The method is developed in accordance with tens of data of outpatients that visited a hospital in the morning on some day in March of 2009. It is described in Ishigaki et al (2010) that further data acquisition and verification tests are required to put the method in Ishigaki et al (2010) into practical use. Besides, the definition of waiting time in Ishigaki et al (2010) is different from that in this paper.…”
Section: Preliminariesmentioning
confidence: 99%
“…It applies a portable RFID system to data acquisition and robust estimation of probability distribution of the health service and examination time by doctor for high-accurate waiting time estimation. The method in Ishigaki et al (2010) is applicable for outpatients and ophthalmologists to make appointments for the next consultations. The method is developed in accordance with tens of data of outpatients that visited a hospital in the morning on some day in March of 2009.…”
Section: Preliminariesmentioning
confidence: 99%
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