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:Fig2 Schmidt BMCMedInfoDecMak2020 20.png|240px]]</div>
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'''"[[Journal:Definitions, components and processes of data harmonization in healthcare: A scoping review|Definitions, components and processes of data harmonization in healthcare: A scoping review]]"'''
'''"[[Journal:Utilizing connectivity and data management systems for effective quality management and regulatory compliance in point-of-care testing|Utilizing connectivity and data management systems for effective quality management and regulatory compliance in point-of-care testing]]"'''


[[Data cleansing|Data harmonization]] (DH) has is increasingly being used by health managers, information technology specialists, and researchers as an important intervention for [[Health information technology|routine health information systems]] (RHISs). It is important to understand what DH is, how it is defined and conceptualized, and how it can lead to better health management decision-making. This scoping review identifies a range of definitions for DH, its characteristics (in terms of key components and processes), and common explanations of the relationship between DH and health management decision-making. This scoping review identified more than 2,000 relevant studies (date filter) written in English and published in PubMed, Web of Science, and CINAHL. ('''[[Journal:Definitions, components and processes of data harmonization in healthcare: A scoping review|Full article...]]''')<br />
Point-of-care testing (POCT) is one of the fastest growing disciplines in [[clinical laboratory]] medicine. POCT [[Medical device|devices]] are widely used in both acute and chronic patient management in the [[hospital]] and [[Physician office laboratory|primary care physician office]] settings. As demands for POCT in various healthcare settings increase, managing POCT testing quality and [[regulatory compliance]] are continually challenging. Despite technological advances in applying automatic system checks and built-in [[quality control]] to prevent analytical and operator errors, poor planning for POCT [[Interface (computing)|connectivity]] and [[Informatics (academic field)|informatics]] can limit [[Data sharing|data accessibility]] and [[Information management|management]] efficiency which impedes the utilization of POCT to its full potential. This article will summarize how connectivity and data management systems can improve timely access to POCT results, effective management of POCT programs, and ensure regulatory compliance. ('''[[Journal:Utilizing connectivity and data management systems for effective quality management and regulatory compliance in point-of-care testing|Full article...]]''')<br />
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''Recently featured'':
''Recently featured'':
{{flowlist |
{{flowlist |
* [[Journal:Definitions, components and processes of data harmonization in healthcare: A scoping review|Definitions, components and processes of data harmonization in healthcare: A scoping review]]
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* [[Journal:Interoperability challenges in the cybersecurity information sharing ecosystem|Interoperability challenges in the cybersecurity information sharing ecosystem]]
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* [[Journal:Data without software are just numbers|Data without software are just numbers]]
* [[Journal:Persistent identification of instruments|Persistent identification of instruments]]
}}
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Revision as of 14:31, 25 October 2021

"Utilizing connectivity and data management systems for effective quality management and regulatory compliance in point-of-care testing"

Point-of-care testing (POCT) is one of the fastest growing disciplines in clinical laboratory medicine. POCT devices are widely used in both acute and chronic patient management in the hospital and primary care physician office settings. As demands for POCT in various healthcare settings increase, managing POCT testing quality and regulatory compliance are continually challenging. Despite technological advances in applying automatic system checks and built-in quality control to prevent analytical and operator errors, poor planning for POCT connectivity and informatics can limit data accessibility and management efficiency which impedes the utilization of POCT to its full potential. This article will summarize how connectivity and data management systems can improve timely access to POCT results, effective management of POCT programs, and ensure regulatory compliance. (Full article...)

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