MONITORING TURNAROUND TIME USING AN AVERAGE CONTROL CHART IN THE LABORATORY

被引:0
|
作者
Kao, Shih-Chou [1 ]
机构
[1] Kao Yuan Univ, Grad Sch Operat & Management, Kaohsiung, Taiwan
关键词
Average control chart; distribution of the mean; skewed distribution; type I risk; turnaround time; PATHOLOGISTS Q-PROBES; LENGTH-OF-STAY; MYOCARDIAL-INFARCTION; SKEWED DISTRIBUTIONS; INTERVENTION; POPULATIONS; VARIANCE;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The long turnaround time (TAT) will prolong the waiting time of patient, increase hospital costs and decrease service satisfaction. None of the studies on control charts and medical care have applied control charts to monitor TAT and proposed a probability function for the distribution of the mean. This study proposed a general formula for the probability function of the distribution of the mean. The control limits of the average chart were determined according to the type I risks (alpha) and the standardized Weibull, lognormal and Burr distributions. Furthermore, compared to control charts that use alpha=0.0027, weighted variance (WV), skewed correction (SC) and traditional Shewhart control charts, the proposed control chart is superior to other control chart, in terms of the as for a skewed process. An example of the TAT of laboratory for the medical center presented to illustrate these findings. Significance: This study proposes a control chart to TAT of complete blood count (CBC) test of laboratory for a medical center. Constants of average control chart are calculated in accordance with fixing type I risks(alpha, 0.0027) with three distributions (Weibull, lognormal and Burr) by using the proposed a general model for the probability density function of the distribution of the mean. Average control chart using the proposed method is superior to other control chart, in terms of the type I risks for a skewed process.
引用
收藏
页码:476 / 487
页数:12
相关论文
共 50 条
  • [21] Generally weighted moving average control chart for monitoring process variability
    Shey-Huei Sheu
    Shih-Hung Tai
    [J]. The International Journal of Advanced Manufacturing Technology, 2006, 30 : 452 - 458
  • [22] Generally weighted moving average control chart for monitoring process variability
    Sheu, Shey-Huei
    Tai, Shih-Hung
    [J]. International Journal of Advanced Manufacturing Technology, 2006, 30 (5-6): : 452 - 458
  • [23] Generally weighted moving average control chart for monitoring process variability
    Sheu, Shey-Huei
    Tai, Shih-Hung
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2006, 30 (5-6): : 452 - 458
  • [24] Reducing turnaround time in a pathology laboratory using the lean methodology
    Akbulut, Yasemin
    Usubutun, Alp
    Durur, Fatih
    Kutlu, Gamze
    [J]. INTERNATIONAL JOURNAL OF LEAN SIX SIGMA, 2023, 14 (03) : 520 - 533
  • [25] Risk-adjusted survival time monitoring with an updating exponentially weighted moving average (EWMA) control chart
    Steiner, Stefan H.
    Jones, Mark
    [J]. STATISTICS IN MEDICINE, 2010, 29 (04) : 444 - 454
  • [26] Improving Troponin Turnaround Time in the Laboratory
    Moran, Anna
    Joaquin, Antonietta
    Tillery, Tamika
    Reynolds, Roxan
    Bank, Blood
    Easley, Mark
    Saunders, Sandra
    Ward, Juanita
    Volpe, Kimberly
    McMullen, Adam
    [J]. AMERICAN JOURNAL OF CLINICAL PATHOLOGY, 2014, 142
  • [27] New modified exponentially weighted moving average-moving average control chart for process monitoring
    Talordphop, Khanittha
    Sukparungsee, Saowanit
    Areepong, Yupaporn
    [J]. CONNECTION SCIENCE, 2022, 34 (01) : 1981 - 1998
  • [28] A new exponentially weighted moving average control chart for monitoring the coefficient of variation
    Zhang, Jiujun
    Li, Zhonghua
    Chen, Bin
    Wang, Zhaojun
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2014, 78 : 205 - 212
  • [29] Modified exponentially weighted moving average control chart for monitoring process dispersion
    Rasheed, Zahid
    Zhang, Hongying
    Khan, Majid
    Anwar, Syed Masroor
    [J]. COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2024,
  • [30] A double homogeneously weighted moving average control chart for monitoring of the process mean
    Abid, Muhammad
    Shabbir, Aroosa
    Nazir, Hafiz Zafar
    Sherwani, Rehan Ahmed Khan
    Riaz, Muhammad
    [J]. QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2020, 36 (05) : 1513 - 1527