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:Fig3 Dundar JofPathInfo2022 13.jpg|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Bohn JofLabMed2021 45-6.jpg|240px]]</div>
'''"[[Journal:Anatomic pathology quality assurance: Developing an LIS-based tracking and documentation module for intradepartmental consultations|Anatomic pathology quality assurance: Developing an LIS-based tracking and documentation module for intradepartmental consultations]]"'''
'''"[[Journal:Electronic tools in clinical laboratory diagnostics: Key examples, limitations, and value in laboratory medicine|Electronic tools in clinical laboratory diagnostics: Key examples, limitations, and value in laboratory medicine]]"'''


An electronic intradepartmental consultation system for [[Anatomical pathology|anatomic pathology]] (AP) was conceived and developed in the [[laboratory information system]] (LIS) of University of Iowa Hospitals and Clinics in 2019. Previously, all surgical pathology intradepartmental consultative activities were initiated and documented with paper forms, which were circulated with the pertinent microscopic slides and were eventually filed. In this study, we discuss the implementation and utilization of an electronic intradepartmental AP consultation system. [[Workflow]]s and procedures were developed to organize intradepartmental surgical pathology consultations from the beginning to the end point of the consultative activities entirely using a paperless system that resided in the LIS ... ('''[[Journal:Anatomic pathology quality assurance: Developing an LIS-based tracking and documentation module for intradepartmental consultations|Full article...]]''')<br />
Electronic tools in [[clinical laboratory]] diagnostics can assist [[laboratory]] professionals, clinicians, and patients in medical diagnostic management and laboratory test interpretation. With increasing implementation of [[electronic health record]]s (EHRs) and [[laboratory information system]]s (LIS) worldwide, there is increasing demand for well-designed and evidence-based electronic resources. Both complex data-driven and simple interpretative electronic healthcare tools are currently available to improve the integration of clinical and laboratory [[information]] towards a more patient-centered approach to medicine. Several studies have reported positive clinical impact of electronic healthcare tool implementation in clinical laboratory diagnostics, including in the management of neonatal bilirubinemia, cardiac disease, and nutritional status ... ('''[[Journal:Electronic tools in clinical laboratory diagnostics: Key examples, limitations, and value in laboratory medicine|Full article...]]''')<br />
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''Recently featured'':
''Recently featured'':
{{flowlist |
{{flowlist |
* [[Journal:Anatomic pathology quality assurance: Developing an LIS-based tracking and documentation module for intradepartmental consultations|Anatomic pathology quality assurance: Developing an LIS-based tracking and documentation module for intradepartmental consultations]]
* [[Journal:Using knowledge graph structures for semantic interoperability in electronic health records data exchanges|Using knowledge graph structures for semantic interoperability in electronic health records data exchanges]]
* [[Journal:Using knowledge graph structures for semantic interoperability in electronic health records data exchanges|Using knowledge graph structures for semantic interoperability in electronic health records data exchanges]]
* [[Journal:CustodyBlock: A distributed chain of custody evidence framework|CustodyBlock: A distributed chain of custody evidence framework]]
* [[Journal:CustodyBlock: A distributed chain of custody evidence framework|CustodyBlock: A distributed chain of custody evidence framework]]
* [[Journal:Development and governance of FAIR thresholds for a data federation|Development and governance of FAIR thresholds for a data federation]]
}}
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Revision as of 22:08, 6 February 2023

Fig1 Bohn JofLabMed2021 45-6.jpg

"Electronic tools in clinical laboratory diagnostics: Key examples, limitations, and value in laboratory medicine"

Electronic tools in clinical laboratory diagnostics can assist laboratory professionals, clinicians, and patients in medical diagnostic management and laboratory test interpretation. With increasing implementation of electronic health records (EHRs) and laboratory information systems (LIS) worldwide, there is increasing demand for well-designed and evidence-based electronic resources. Both complex data-driven and simple interpretative electronic healthcare tools are currently available to improve the integration of clinical and laboratory information towards a more patient-centered approach to medicine. Several studies have reported positive clinical impact of electronic healthcare tool implementation in clinical laboratory diagnostics, including in the management of neonatal bilirubinemia, cardiac disease, and nutritional status ... (Full article...)

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