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:Fig4 Fernandes AQUA22 71-3.png|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Scheibner BMCMedEthics22 23.png|240px]]</div>
'''"[[Journal:Avoidance of operational sampling errors in drinking water analysis|Avoidance of operational sampling errors in drinking water analysis]]"'''
'''"[[Journal:Health data privacy through homomorphic encryption and distributed ledger computing: An ethical-legal qualitative expert assessment study|Health data privacy through homomorphic encryption and distributed ledger computing: An ethical-legal qualitative expert assessment study]]"'''


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 />
Increasingly, [[hospital]]s and research institutes are developing technical solutions for [[Data sharing|sharing patient data]] in a [[Information privacy|privacy-preserving manner]]. Two of these technical solutions are [[homomorphic encryption]] and [[Blockchain|distributed ledger]] technology. Homomorphic encryption allows computations to be performed on data without this data ever being decrypted. Therefore, homomorphic encryption represents a potential solution for conducting feasibility studies on cohorts of sensitive patient data stored in distributed locations. Distributed ledger technology provides a permanent record on all transfers and processing of patient data, allowing data custodians to audit access. A significant portion of the current literature has examined how these technologies might comply with data protection and research ethics frameworks ... ('''[[Journal:Health data privacy through homomorphic encryption and distributed ledger computing: An ethical-legal qualitative expert assessment study|Full article...]]''')<br />
''Recently featured'':
''Recently featured'':
{{flowlist |
{{flowlist |
* [[Journal:Avoidance of operational sampling errors in drinking water analysis|Avoidance of operational sampling errors in drinking water analysis]]
* [[Journal:ISO/IEC 17025: History and introduction of concepts|ISO/IEC 17025: History and introduction of concepts]]
* [[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]]
}}
}}

Revision as of 18:03, 19 June 2023

Fig1 Scheibner BMCMedEthics22 23.png

"Health data privacy through homomorphic encryption and distributed ledger computing: An ethical-legal qualitative expert assessment study"

Increasingly, hospitals and research institutes are developing technical solutions for sharing patient data in a privacy-preserving manner. Two of these technical solutions are homomorphic encryption and distributed ledger technology. Homomorphic encryption allows computations to be performed on data without this data ever being decrypted. Therefore, homomorphic encryption represents a potential solution for conducting feasibility studies on cohorts of sensitive patient data stored in distributed locations. Distributed ledger technology provides a permanent record on all transfers and processing of patient data, allowing data custodians to audit access. A significant portion of the current literature has examined how these technologies might comply with data protection and research ethics frameworks ... (Full article...)
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