2014
DOI: 10.1057/jors.2013.1
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Effective cancellation policy to reduce the negative impact of patient no-show

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Cited by 31 publications
(31 citation statements)
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“…B) Appointments scheduled for patients (n = 47) who would otherwise be ineligible for UPHS outpatient care for insurance reasons; see Supplementary Table A NS/SDC rates for the variables listed above. 17,[22][23][24][25] We additionally calculated NS/SDC and attendance-as-scheduled rates stratified by the number of PDFVs per patient to assess for a "high-utilizer" effect with regard to PDFV attendance.…”
Section: Study Outcomesmentioning
confidence: 99%
“…B) Appointments scheduled for patients (n = 47) who would otherwise be ineligible for UPHS outpatient care for insurance reasons; see Supplementary Table A NS/SDC rates for the variables listed above. 17,[22][23][24][25] We additionally calculated NS/SDC and attendance-as-scheduled rates stratified by the number of PDFVs per patient to assess for a "high-utilizer" effect with regard to PDFV attendance.…”
Section: Study Outcomesmentioning
confidence: 99%
“…An interactive DES system was proposed for ED improvement of a hospital in north Dublin, Ireland [8]. A simulation model can determine the optimal number of no-shows allowed to minimize the cost of patient waiting time, physician idle time, and overtime [45]. Simulation can forecast operating conditions with several measures of ED overcrowding [46].…”
Section: Discrete-event Simulationmentioning
confidence: 99%
“…This could be used by clinics for rescheduling appointments. The ndings indicate that when ll rates are low and no-show probabilities are high, the time required patients to cancel appointments needs to increase in order to achieve the goal of being cost-effective [43]. A number of healthcare systems implemented SMS text messages as a reminder, which shows promise as an instant, simple, cost-effective means communications with protecting patient privacy.…”
Section: Discussionmentioning
confidence: 99%