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Clinical Audit Tool. PCS Clinical Audit Tool (CAT) is a population reporting enhancement to the leading GP Clinical Desktop Systems in Australian general practice "Clinical Audit Support Centre" - provide accredited training and expert support in clinical audit and other quality improvement techniques.
cTAKES ("clinical Text Analysis Knowledge Extraction Software") is a natural language processing system for extracting information from electronic medical record clinical free-text, an Apache top level project (TLP) since 2013, developed by the Mayo Clinic and others. It is available under the Apache license. [55]
A significant event audit (SEA), also known as significant event analysis, is a method of formally assessing significant events, particularly in primary care in the UK, with a view to improving patient care and services. To be effective, the SEA frequently seeks contributions from all members of the healthcare team and involves a subsequent ...
On Windows 10, a sister program to Upgrade Assistant known as "Media Creation Tool" was introduced, which is used to download the Windows OS files and generate ISO images or USB boot media. [7] In January 2024, Microsoft began to replace Windows Setup on the Windows 11 boot media with a revamped version based on the UI of Upgrade Assistant ...
A clinical data management system or CDMS is a tool used in clinical research to manage the data of a clinical trial. The clinical trial data gathered at the investigator site in the case report form are stored in the CDMS. To reduce the possibility of errors due to human entry, the systems employ various means to verify the data.
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The health information systems literature has seen the EHR as a container holding information about the patient, and a tool for aggregating clinical data for secondary uses (billing, audit, etc.). However, other research traditions see the EHR as a contextualised artifact within a socio-technical system.
Critical appraisal (or quality assessment) in evidence based medicine, is the use of explicit, transparent methods to assess the data in published research, applying the rules of evidence to factors such as internal validity, adherence to reporting standards, conclusions, generalizability and risk-of-bias.