Assessing the influence of component processing and donor characteristics on quality of red cell concentrates using quality control data

Vox Sanguinis ◽  
2016 ◽  
Vol 111 (1) ◽  
pp. 8-15 ◽  
Author(s):  
A. Jordan ◽  
D. Chen ◽  
Q. -L. Yi ◽  
T. Kanias ◽  
M. T. Gladwin ◽  
...  
Keyword(s):  
Quality Control ◽  
Red Cell ◽  
Control Data ◽  
Donor Characteristics ◽  
Quality Control Data

scholarly journals Quality Management in Libraries Case Study: Book Collection Retrieval in Academic Libraries

2021 ◽  
Vol 9 (2) ◽  
pp. 182
Author(s):  
Vilianty Rizki Utami ◽  
Desni Sri Hastuti Sihite
Keyword(s):  
Quality Control ◽  
Quality Management ◽  
Comprehensive Evaluation ◽  
Case Study Method ◽  
Control Data ◽  
User Expectations ◽  
And Performance ◽  
Quality Control Data

Quality management in the library is related to quality control of the library's work to meet user expectations and contributes to the continued success of the organization. However, quality control is lacking and not be the main focus in many libraries. This paper aims to explain how quality management improves work results in libraries. The research method used in this paper is qualitative research using a case study method. We conduct research in Library X that already underwent quality control in book processing activities. The data were collected through observation, and interviews for book processing activities and its quality control data during 2018-2020. The data was then analyzed document analysis. The study found that Library X could perform better by improving the quality of book processing and fixing the error just before they put the book on its shelves. Quality control gives a comprehensive evaluation in Library X either for humans, processes, and systems of book processing activities that help Library X conduct its duty to provide their user needs and expectations. Quality control and quality management also help Library X describe the library working atmosphere and can be used for giving motivation to all librarians and staff to give better service and performance for the end-users.

scholarly journals Evaluation of Quality Control Data of Clinical Chemistry Parameters using Six Sigma Metrics Tool in Clinical Laboratory

2021 ◽  
pp. 305-309
Author(s):  
G. Anuradha ◽  
S. Santhinigopalakrishnan ◽  
S. Sumathy
Keyword(s):  
Quality Control ◽  
Six Sigma ◽  
Clinical Laboratory ◽  
Clinical Biochemistry ◽  
Clinical Chemistry ◽  
Control Data ◽  
Laboratory Performance ◽  
Clinical Biochemistry Laboratory ◽  
Quality Control Data

Background: Physicians rely on laboratory results for treating patients. So it is the duty of laboratories to assure quality of the results released. So laboratory performance should be validated to maintain the quality. Six sigma has now gained recent interest in monitoring the laboratory quality.This study was designed to gauge the clinical chemistry parameters based on six sigma metrics. Materials and Methods: In this retrospective study, both the internal and external quality control data of 26 clinical chemistry parameters were collected for a period of 6 months from June 2020 to November 2020 and the six sigma analysis was done at the Central clinical biochemistry laboratory of Chettinad Hospital and research institute. Results: AST, amylase, lipase, triglyceride, HDL, iron, magnesium, creatine kinase showed sigma values more than 6.Uric acid, total protein, ALT, direct bilirubin, GGT,cholesterol, cholesterol, calcium, TIBC and phosphorus shows sigma values between 3.5 to 6. Glucose, BUN, creatinine, albumin, Na, K, Chloride, showed sigma values less than 3.5. Conclusion: Six sigma metrics can help in improving the quality of laboratory performance and also helps to standardisethe actual amount of QC that is required by the laboratory for maintaining quality.

Trend Analysis of Quality Control Data

1995 ◽  
pp. 175-188 ◽  
Author(s):  
H. R. Adams ◽  
M. A. Channing ◽  
J. E. Divel ◽  
B. B. Dunn ◽  
D. O. Kiesewetter ◽  
...  
Keyword(s):  
Quality Control ◽  
Trend Analysis ◽  
Control Data ◽  
Quality Control Data

Computerized Preparation of Two-Way Analysis of Variance Control Charts for Clinical Chemistry

1972 ◽  
Vol 18 (3) ◽  
pp. 250-257 ◽  
Author(s):  
J H Riddick ◽  
Roger Flora ◽  
Quentin L Van Meter
Keyword(s):  
Quality Control ◽  
Data Analysis ◽  
Computer Program ◽  
Analysis Of Variance ◽  
Control Charts ◽  
Clinical Chemistry ◽  
Control Data ◽  
Laboratory Error ◽  
Quality Control Data

Abstract A system of quality-control data analysis by computer is described, in which two-way analysis of variance is used for partitioning sources of laboratory error into day-to-day, within-day, betweenpools and additivity variation. The partition for additivity is described in detail as to its advantages and applications. In addition, control charts based on two-way analysis of variance computations are prepared each month by computer. This computer program is designed to operate with the IBM 1800 or 1130 computers or any computer with a Fortran IV compiler. Examples are presented of use of the control charts and of tables of analysis of variance.

The impact of shelf life on exposure as revealed from quality control data associated with the quargel outbreak

2018 ◽  
Vol 279 ◽  
pp. 64-69 ◽  
Author(s):  
Martin Wagner ◽  
Panos Skandamis ◽  
Franz Allerberger ◽  
Dagmar Schoder ◽  
Caroline Lassnig ◽  
...  
Keyword(s):  
Quality Control ◽  
Shelf Life ◽  
Control Data ◽  
The Impact ◽  
Quality Control Data
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