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A Prediction Model of Timely Processing on Medical Service using Classification and Regression Tree
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  • Journal title : Journal of IKEEE
  • Volume 20, Issue 1,  2016, pp.16-25
  • Publisher : Institude of Korean Electrical and Electronics Engineers
  • DOI : 10.7471/ikeee.2016.20.1.016
 Title & Authors
A Prediction Model of Timely Processing on Medical Service using Classification and Regression Tree
Lee, Jong-Chan; Jeong, Seung-Woo; Lee, Won-Young;
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Turnaround time (called, TAT) for imaging test, which is necessary for making a medical diagnosis, is directly related to the patient`s waiting time and it is one of the important performance criteria for medical services. In this paper, we measured the TAT from major imaging tests to see it met the reference point set by the medical institutions. Prediction results from the algorithm of classification regression tree (called, CART) showed "clinics", "diagnosis", "modality", "test month" were identified as main factors for timely processing. This study had a contribution in providing means of prevention of the delay on medical services in advance.
quality of medical service;turnaround time;CART;imaging test;timely processing;
 Cited by
Korea Institute for Healthcare Accreditation (KOIHA) (, "Accreditation Standards", Jun. 2015.

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