CT quality assurance: Computer assisted slice thickness determination

1980 ◽  
Vol 7 (1) ◽  
pp. 61-63 ◽  
Author(s):  
Nicholas J. Schneiders ◽  
Stewart C. Bushong
Keyword(s):  
Quality Assurance ◽  
Computer Assisted ◽  
Slice Thickness ◽  
Thickness Determination

Quality assurance for abdominal CT: a rapid, computer-assisted technique.

1996 ◽  
Vol 167 (5) ◽  
pp. 1141-1145 ◽  
Author(s):  
S M Pomerantz ◽  
B Daly ◽  
T L Krebs ◽  
M NessAiver ◽  
S Y Kepes ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Computer Assisted ◽  
Abdominal Ct

Computer-Assisted Functions for Auditing XBRL-Related Documents

2016 ◽  
Vol 13 (1) ◽  
pp. 53-83 ◽  
Author(s):  
J. Efrim Boritz ◽  
Won Gyun No
Keyword(s):  
Quality Assurance ◽  
Computer Assisted ◽  
Business Reporting ◽  
Prior Literature ◽  
Professional Guidelines ◽  
The U.S

ABSTRACT The increasing global adoption of XBRL and its potential to replace traditional formats for business reporting create a need for quality assurance for XBRL-tagged data. Although prior studies have addressed assurance issues on XBRL-related documents (i.e., instance documents and extension taxonomy) and related audit objectives, they primarily focus on the U.S. and, thus, may not be comprehensive enough for use in other countries. Furthermore, no prior literature discusses what and how computer-assisted audit functions can help auditors while they are performing assurance on XBRL-related documents. The main goal of this paper is to introduce computer-assisted audit functions that can be used by auditors to perform audit tasks to attain identified audit objectives. Based on professional guidelines and prior academic studies, this study introduces a set of audit objectives and related audit tasks that auditors might confront if they are asked to provide assurance on XBRL-related documents. The study then demonstrates a set of related computer-assisted audit functions for conducting the audit tasks and discuss how the identified audit objectives could be achieved using these functions.

Quality Assurance in Computer-Assisted Translation in Business Environments

2021 ◽  
pp. 247-270
Author(s):  
Sanja Seljan ◽  
Nikolina Škof Erdelja ◽  
Vlasta Kučiš ◽  
Ivan Dunđer ◽  
Mirjana Pejić Bach
Keyword(s):  
Quality Assurance ◽  
Error Detection ◽  
Collaborative Work ◽  
Computer Assisted ◽  
Translation Memory ◽  
Terminology Extraction ◽  
Business Environments ◽  
Counting Data ◽  
Data Driven Decisions

Increased use of computer-assisted translation (CAT) technology in business settings with augmented amounts of tasks, collaborative work, and short deadlines give rise to errors and the need for quality assurance (QA). The research has three operational aims: 1) methodological framework for QA analysis, 2) comparative evaluation of four QA tools, 3) to justify introduction of QA into CAT process. The research includes building of translation memory, terminology extraction, and creation of terminology base. Error categorization is conducted by multidimensional quality (MQM) framework. The level of mistake is calculated considering detected, false, and not detected errors. Weights are assigned to errors (minor, major, or critical), penalties are calculated, and quality estimation for translation memory is given. Results show that process is prone to errors due to differences in error detection, harmonization, and error counting. Data analysis of detected errors leads to further data-driven decisions related to the quality of output results and improved efficacy of translation business process.

Computer-Assisted Quality Assurance in an HIV Serology Laboratory

1994 ◽  
Vol 33 (02) ◽  
pp. 170-173 ◽  
Author(s):  
B. Biryahwaho ◽  
R. G. Downing ◽  
A. Ojwiya ◽  
D. W. Mulder ◽  
A. J. Nunn
Keyword(s):  
Quality Assurance ◽  
Computer Assisted ◽  
Quality Assurance Programme ◽  
Laboratory Performance ◽  
Computer Based ◽  
Hiv 1

Abstract:A computer-based quality assurance programme for an HIV-1 serology laboratory is described. The programme was designed to minimise transcription errors and to provide rapid feedback on laboratory performance. Similar systems could readily be introduced to any laboratory with access to simple computing facilities.

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