ECONOMIC BENEFIT OF PROCESS OPTIMIZING IN BLOOD COLLECTION CENTER WITH LEAN SIX SIGMA APPROACH
Author(s)
Guo W1, Gu M1, Wang B1, Jin S2
1Zhongshan Hopital, Fudan University, Shanghai, China, 2Becton, Dickinson and Company, Shanghai, China
OBJECTIVES: Patients at Zhongshang Hospital have complained a lot about the long waiting time and crowed environment of out-patient blood collection center for years. To improve the total efficiency and reduce non-value-added cost, the blood collection center launched a process optimization project with consultancy support from Becton, Dickinson Company during March to July in 2016. METHODS: Lean Six Sigma methodologies are used in this project. Process map and spaghetti diagram are used to understand current work flow and patient traveling flow. Data of patient distribution by time, average patient waiting time and per capita blood collection time were collected from LIS (laboratory information system). The cause of prolonged waiting time was analyzed using Ishikawa diagram. The failure mode and effects analysis (FEMA) was applied and 9 root of cause were identified. 5S tools were also used to make an organized environment. Improvement actions were taken in 3 areas: environment and layout, patient education, shift and duty arrangements of staff. The outcome was quantified to evaluate economic impact on the organization. RESULTS: With an investment of $$$24,710 annually. The rejecting rate of blood samples dropped from 0.0421% to 0.0245%, results in a cost saving of $4,166$28,876 per year. At the same time, patient satisfaction rating increased from 4.59 to 4.97 as a result of improved waiting environment and shorter waiting time. CONCLUSIONS: Hospital can economically benefit from Lean Six Sigma project through efficiency improvement and reduction of unqualified blood samples.
Conference/Value in Health Info
2017-05, ISPOR 2017, Boston, MA, USA
Value in Health, Vol. 20, No. 5 (May 2017)
Code
PHP73
Topic
Economic Evaluation
Topic Subcategory
Cost-comparison, Effectiveness, Utility, Benefit Analysis
Disease
Multiple Diseases