Difference between revisions of "Template:Article of the week"

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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Miguel QuimicaNova22 44-6.png|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig4 Fernandes AQUA22 71-3.png|240px]]</div>
'''"[[Journal:ISO/IEC 17025: History and introduction of concepts|ISO/IEC 17025: History and introduction of concepts]]"'''
'''"[[Journal:Avoidance of operational sampling errors in drinking water analysis|Avoidance of operational sampling errors in drinking water analysis]]"'''


[[Quality (business)|Quality]] is an increasingly present concept nowadays, and meeting the needs of customers who buy and use products and hire services becomes essential. For [[Laboratory|laboratories]], the concept is applied not only to the reliability and traceability of the results produced, but it also presents itself in meeting the customer’s needs and providing confidence when signing agreements in the international trade. The concept of quality in a laboratory can be carried out from the development and implementation of a [[quality management system]] (QMS). To this end, the normative, internationally accepted document [[ISO/IEC 17025]] aims at instructing the development and implementation of a management system, which ideally proves the technical capacity of testing and [[Reference laboratory|calibration laboratories]] and guides the generation of reliable results ... ('''[[Journal:ISO/IEC 17025: History and introduction of concepts|Full article...]]''')<br />
The internal audits carried out in the first half of 2019 in Portuguese water [[Laboratory|laboratories]] as part of [[Quality (business)|quality]] accreditation in accordance with [[ISO/IEC 17025|ISO/IEC 17025:2017]] showed a high frequency of adverse events in connection with [[Sample (material)|sampling]]. These faults can be a consequence of a wide range of causes, and in some cases, the [[information]] about them can be insufficient or unclear. Considering that sampling has a major influence on the quality of the analytical results provided by water laboratories, this work presents a system for reporting and learning from adverse events. Its aim is to record nonconformities, errors, and adverse events, making possible automatic [[data analysis]] to better ensure [[Continual improvement process|continuous improvement]] in operational sampling. The system is based on the Eindhoven Classification Model and enables automatic data analysis and reporting to identify the main causes of failure ... ('''[[Journal:Avoidance of operational sampling errors in drinking water analysis|Full article...]]''')<br />
''Recently featured'':
''Recently featured'':
{{flowlist |
{{flowlist |
* [[Journal:ISO/IEC 17025: History and introduction of concepts|ISO/IEC 17025: History and introduction of concepts]]
* [[Journal:Practical considerations for laboratories: Implementing a holistic quality management system|Practical considerations for laboratories: Implementing a holistic quality management system]]
* [[Journal:Practical considerations for laboratories: Implementing a holistic quality management system|Practical considerations for laboratories: Implementing a holistic quality management system]]
* [[Journal:Precision nutrition: Maintaining scientific integrity while realizing market potential|Precision nutrition: Maintaining scientific integrity while realizing market potential]]
* [[Journal:Precision nutrition: Maintaining scientific integrity while realizing market potential|Precision nutrition: Maintaining scientific integrity while realizing market potential]]
* [[Journal:Construction of control charts to help in the stability and reliability of results in an accredited water quality control laboratory|Construction of control charts to help in the stability and reliability of results in an accredited water quality control laboratory]]
}}
}}

Revision as of 14:54, 12 June 2023

Fig4 Fernandes AQUA22 71-3.png

"Avoidance of operational sampling errors in drinking water analysis"

The internal audits carried out in the first half of 2019 in Portuguese water laboratories as part of quality accreditation in accordance with ISO/IEC 17025:2017 showed a high frequency of adverse events in connection with sampling. These faults can be a consequence of a wide range of causes, and in some cases, the information about them can be insufficient or unclear. Considering that sampling has a major influence on the quality of the analytical results provided by water laboratories, this work presents a system for reporting and learning from adverse events. Its aim is to record nonconformities, errors, and adverse events, making possible automatic data analysis to better ensure continuous improvement in operational sampling. The system is based on the Eindhoven Classification Model and enables automatic data analysis and reporting to identify the main causes of failure ... (Full article...)
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