عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
شماره کتابشناسی ملی
شماره
TLpq2170641399
زبان اثر
زبان متن نوشتاري يا گفتاري و مانند آن
انگلیسی
عنوان و نام پديدآور
عنوان اصلي
A Comparative Study of Control Charts for Monitoring Rare Events in Health Systems Using Monte Carlo Simulation
نام عام مواد
[Thesis]
نام نخستين پديدآور
Groves, Clariecia
نام ساير پديدآوران
Fossaceca, John
وضعیت نشر و پخش و غیره
نام ناشر، پخش کننده و غيره
The George Washington University
تاریخ نشرو بخش و غیره
2019
مشخصات ظاهری
نام خاص و کميت اثر
157
یادداشتهای مربوط به پایان نامه ها
جزئيات پايان نامه و نوع درجه آن
D.Engr.
کسي که مدرک را اعطا کرده
The George Washington University
امتياز متن
2019
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
Rare events in healthcare can pose a challenging issue for quality practitioners, particularly in deciding how to monitor them with control charts. There are many examples of rare events data in healthcare settings including medication errors, patient falls, birth traumas, surgical site infections and ventilator-associated events. So, it is necessary to find better ways to monitor rare events in health systems. Some have argued against utilizing control charts with healthcare rare events data because assignable causes are present for each error and each incident should be investigated. However, although it is important to investigate individual adverse events, it is equally important to monitor and study such events over time as this can often lead to significant improvements in quality. Control charts are graphical time series that help us to study processes over time for improving quality of care and reducing adverse events. The purpose of this praxis is to conduct a comparative study of control charts that have been proposed in literature for monitoring rare events and to determine which control charts perform better using Monte Carlo simulation. Recommendations on which control charts to use for monitoring rare events in health systems will be provided at the conclusion of this study. Also, real healthcare data will be used to demonstrate the application of this work.
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Engineering
موضوع مستند نشده
Health care management
موضوع مستند نشده
Industrial engineering
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )
مستند نام اشخاص تاييد نشده
Fossaceca, John
مستند نام اشخاص تاييد نشده
Groves, Clariecia
دسترسی و محل الکترونیکی
نام الکترونيکي
مطالعه متن کتاب وضعیت انتشار
فرمت انتشار
p
اطلاعات رکورد کتابشناسی
نوع ماده
[Thesis]
کد کاربرگه
276903
اطلاعات دسترسی رکورد
سطح دسترسي
a
تكميل شده
Y
