Evaluating the Performance of Service Quality in the Hospitals of Traditional Chinese Medicine with Data Envelopment Analysis

2014 ◽  
Vol 8 (1) ◽  
pp. 69-75
Author(s):  
Ridong Hu ◽  
Chich-Jen Shieh
Keyword(s):  
Data Envelopment Analysis ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Service Quality ◽  
Data Envelopment

scholarly journals Measuring Productivity and Efficiency of Traditional Chinese Medicine Hospitals From 2009 to 2016: A Bootstrap-Data Envelopment Analysis

2020 ◽  
Author(s):  
Xinliang Liu ◽  
Rui Chen ◽  
Shaopeng Wu ◽  
Quan Wang ◽  
Jian Wang ◽  
...  
Keyword(s):  
Data Envelopment Analysis ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Total Factor Productivity ◽  
Data Envelopment ◽  
Factor Productivity ◽  
Statistical Software ◽  
Policy Makers ◽  
Hospital Managers ◽  
Input And Output

Abstract Background: Traditional Chinese Medicine (TCM) Hospitals are the dominant agents to provide TCM services in China. How to improve the productivity and efficiency of TCM hospitals is quite pivotal for the hospital managers and policy-makers to realize the optimal use of TCM resources. The purpose of this study was to estimate the productivity and efficiency of TCM hospitals with the Bootstrap-Malmquist-Data Envelopment Analysis (DEA) from 2009 to 2016 to provide empirical evidence for hospital managers and policy-makers to improve the management and quality of TCM service.Methods: The data of the individual tertiary public TCM hospitals were collected from official Yearbooks of Traditional Chinese Medicine of China (2010-2017). Bootstrap-Malmquist-DEA was employed to measure the productivity and efficiency of the TCM hospitals from 2009 to 2016. SPSS 23.0 version statistical software was used to conduct the descriptive analysis of the input and output indicators. R 3.2.1 version statistical software was applied to calculate the productivity and efficiency of the TCM hospitals with FEAR package. The statistical significant was set at P < 0.05.Results: The annual average growth rates for each input and output indicator were 6.61% (health professionals), 8.15% (actual open beds), 7.08% (outpatients and inpatients) and 12.50% (discharged patients) respectively from 2009 to 2016. Except the TFPC between 2014 and 2015, more than half of the TCM hospitals had TFPC scores over 1.000, indicating increased productivity. The overall annual geo-means of the scores of the TFPC and its decomposition index were 1.0379 (TFPC), 1.0167 (TEC), 1.0209 (TC), 1.0212 (PTEC), and 0.9955 (SEC) respectively from 2009 to 2016.Conclusions: The overall annual rate of the total factor productivity of the tertiary public TCM hospitals was slightly increased. The technological progress was the main driver to improve the total factor productivity. The decreased TE was more affected by the decreased SE. The TCM hospitals need to pay attention to the development and innovation of the TCM technology, thereby improving the competitiveness. The TCM hospitals managers should pursuit the high quality, high efficiency and low cost of the TCM medical services.

scholarly journals UPAYA PERBAIKAN KUALITAS UNIT PELAYANAN TEKNIK DENGAN PENDEKATAN LEAN SERVICE (Studi Kasus : PT. PLN APJ Surabaya Selatan)

2018 ◽  
Vol 8 (2) ◽  
pp. 67
Author(s):  
Mairina Anggarini Francesca
Keyword(s):  
Data Envelopment Analysis ◽  
Service Quality ◽  
System Modeling ◽  
Scale Efficiency ◽  
Value Management ◽  
Data Envelopment ◽  
Network Service ◽  
Service Unit ◽  
Primary Focus ◽  
The Impact

Technique Service Unit as party who handling directly distribution disturbance, where this unit have big influence on network service quality. Found that compliance on disturbance at present indicating there is waste in network service process then at this research will be quality repair effort from technique service unit from efficiency aspect. In this research method are Data Envelopment Analysis to determining where unit would be primary focus in this research based on efficiency level, Lean Service to improving poor technique service quality, as well as Value Management and dynamic system modeling with software Vensim used for improvement doing. Result of the research indicating whenever Data Envelopment Analysis, Network Service Unit (UPJ) Dukuh Kupang stated inefficiency with Technical Efficiency around 0,73. And repair effort in waste reducing found that waste defect as main cause with seven typesdisturbance causes as Critical to Quality. From CTQ found waste cause as well as repair priority, and repair alternative based on highest RPN value from FMEA then simulated to get best alternative. From available alternative, could be proved that repair recommendation had changed Network Service Unit (UPJ) be efficient with scale efficiency value change from 0,972 to 1. The advantage of this research are problem discussed completely and detail, where repair objectives done on unit really experienced problem. Then causes of the exist problem seek the cause root then priority of repair could precisely. And effort in choosing best alternatives previous simulated with the aim could be known system behavior over the impact of repair that be conducted. Then finally enable a comparison between before systemcondition and after repair

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