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

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(Updated article of the week text.)
(Updated article of the week text)
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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Jin BMCMedInfoDecMak21 21.png|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Georgiou FrontDigHlth2021 3.jpg|240px]]</div>
'''"[[Journal:Development and implementation of an LIS-based validation system for autoverification toward zero defects in the automated reporting of laboratory test results|Development and implementation of an LIS-based validation system for autoverification toward zero defects in the automated reporting of laboratory test results]]"'''
'''"[[Journal:Diagnostic informatics: The role of digital health in diagnostic stewardship and the achievement of excellence, safety, and value|Diagnostic informatics: The role of digital health in diagnostic stewardship and the achievement of excellence, safety, and value]]"'''


For [[laboratory informatics]] applications, [[Software verification and validation|validation]] of the autoverification function is one of the critical steps to confirm its effectiveness before use. It is crucial to verify whether the programmed algorithm follows the expected logic and produces the expected results. This process has always relied on the assessment of human–machine consistency and is mostly a manually recorded and time-consuming activity with inherent subjectivity and arbitrariness that cannot guarantee a comprehensive, timely, and continuous effectiveness evaluation of the autoverification function. To overcome these inherent limitations, we independently developed and implemented a [[laboratory information system]] (LIS)-based validation system for autoverification. We developed a correctness verification and integrity validation method (hereinafter referred to as the "new method") in the form of a human–machine dialog ... ('''[[Journal:Development and implementation of an LIS-based validation system for autoverification toward zero defects in the automated reporting of laboratory test results|Full article...]]''')<br />
Diagnostic investigations (i.e., pathology [[laboratory]] analysis and [[medical imaging]]) aim to increase the certainty of the presence of or absence of disease by supporting the process of differential diagnosis, support clinical management, and monitor a patient's trajectory (e.g., disease progression or response to treatment). Digital health—defined as the collection, storage, retrieval, transmission, and utilization of data, [[information]], and knowledge to support healthcare—has become an essential component of the diagnostic investigational process, helping to facilitate the accuracy and timeliness of information transfer and enhance the effectiveness of decision-making processes. Digital health is also important to diagnostic stewardship, which involves coordinated guidance and interventions to ensure the appropriate utilization of [[Diagnostic laboratory|diagnostic tests]] for therapeutic decision-making. ('''[[Journal:Diagnostic informatics: The role of digital health in diagnostic stewardship and the achievement of excellence, safety, and value|Full article...]]''')<br />
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''Recently featured'':
''Recently featured'':
{{flowlist |
{{flowlist |
* [[Journal:Development and implementation of an LIS-based validation system for autoverification toward zero defects in the automated reporting of laboratory test results|Development and implementation of an LIS-based validation system for autoverification toward zero defects in the automated reporting of laboratory test results]]
* [[Journal:Emerging and established trends to support secure health information exchange|Emerging and established trends to support secure health information exchange]]
* [[Journal:Emerging and established trends to support secure health information exchange|Emerging and established trends to support secure health information exchange]]
* [[Journal:Security and privacy in cloud-based eHealth systems|Security and privacy in cloud-based eHealth systems]]
* [[Journal:Security and privacy in cloud-based eHealth systems|Security and privacy in cloud-based eHealth systems]]
* [[Journal:Using interactive digital notebooks for bioscience and informatics education|Using interactive digital notebooks for bioscience and informatics education]]
}}
}}

Revision as of 15:14, 4 April 2022

Fig1 Georgiou FrontDigHlth2021 3.jpg

"Diagnostic informatics: The role of digital health in diagnostic stewardship and the achievement of excellence, safety, and value"

Diagnostic investigations (i.e., pathology laboratory analysis and medical imaging) aim to increase the certainty of the presence of or absence of disease by supporting the process of differential diagnosis, support clinical management, and monitor a patient's trajectory (e.g., disease progression or response to treatment). Digital health—defined as the collection, storage, retrieval, transmission, and utilization of data, information, and knowledge to support healthcare—has become an essential component of the diagnostic investigational process, helping to facilitate the accuracy and timeliness of information transfer and enhance the effectiveness of decision-making processes. Digital health is also important to diagnostic stewardship, which involves coordinated guidance and interventions to ensure the appropriate utilization of diagnostic tests for therapeutic decision-making. (Full article...)

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