Difference between revisions of "User:Shawndouglas/sandbox/sublevel1"

From LIMSWiki
Jump to navigationJump to search
Line 1: Line 1:
[[File:Molecular diagnostics qia symphony.jpg|right|300px]]Laboratory computing has positively affected clinical service delivery and laboratory management for decades.<ref name="JonesInform14">{{cite journal |title=Informatics and the Clinical Laboratory |journal=The Clinical Biochemist Reviews |author=Jones, R.G.; Johnson, O.A.; Baststone, G. |volume=35 |issue=3 |pages=177–192 |year=2014 |pmid=25336763 |pmc=PMC4204239}}</ref> These benefits are achieved through automation elements that reduce data entry errors, reduce workloads, collect laboratory instrument data, and check for common errors like duplicate test orders.<ref name="PitkusLab18">{{cite journal |title=Laboratory Informatics: An Increasingly Valuable Commodity Emerging from Today's Laboratories |journal=ASCLS Today |author=Pitkus, A. |volume=32 |issue=2 |year=2018 |url=https://ascls.org/laboratory-informatics-an-increasingly-valuable-commodity-emerging-from-today-s-laboratories/ |accessdate=13 September 2021}}</ref><ref name="RaeenHowLab18">{{cite journal |title=How laboratory informatics has impacted healthcare overall |journal=Applied Research Projects |author=Raeen, M.R. |volume=54 |year=2018 |url=https://dc.uthsc.edu/hiimappliedresearch/54 |doi=10.21007/chp.hiim.0056}}</ref> In the world of [[Epidemiology|epidemiological]] testing, those same [[laboratory informatics]] applications—such as [[laboratory information management system]]s (LIMS), [[laboratory information system]]s (LIS), and [[hospital information system]]s (HIS)—provide similar value.  
[[File:Molecular diagnostics qia symphony.jpg|right|270px]]Laboratory computing has positively affected clinical service delivery and laboratory management for decades.<ref name="JonesInform14">{{cite journal |title=Informatics and the Clinical Laboratory |journal=The Clinical Biochemist Reviews |author=Jones, R.G.; Johnson, O.A.; Baststone, G. |volume=35 |issue=3 |pages=177–192 |year=2014 |pmid=25336763 |pmc=PMC4204239}}</ref> These benefits are achieved through automation elements that reduce data entry errors, reduce workloads, collect laboratory instrument data, and check for common errors like duplicate test orders.<ref name="PitkusLab18">{{cite journal |title=Laboratory Informatics: An Increasingly Valuable Commodity Emerging from Today's Laboratories |journal=ASCLS Today |author=Pitkus, A. |volume=32 |issue=2 |year=2018 |url=https://ascls.org/laboratory-informatics-an-increasingly-valuable-commodity-emerging-from-today-s-laboratories/ |accessdate=13 September 2021}}</ref><ref name="RaeenHowLab18">{{cite journal |title=How laboratory informatics has impacted healthcare overall |journal=Applied Research Projects |author=Raeen, M.R. |volume=54 |year=2018 |url=https://dc.uthsc.edu/hiimappliedresearch/54 |doi=10.21007/chp.hiim.0056}}</ref> In the world of [[Epidemiology|epidemiological]] testing, those same [[laboratory informatics]] applications—such as [[laboratory information management system]]s (LIMS), [[laboratory information system]]s (LIS), and [[hospital information system]]s (HIS)—provide similar value.  


Pandemic response realizes benefits through crisis and risk management systems, syndromic surveillance systems, and medical diagnostic tools. As Norwegian researchers Wilson and Jumbert note about humanitarian technologies and pandemics, "collecting information is central to the implementation of an efficient response, including situational information, needs assessment, and operational information."<ref name="WilsonTheNew18">{{cite journal |title=The new informatics of pandemic response: humanitarian technology, efficiency, and the subtle retreat of national agency |journal=Journal of International Humanitarian Action |author=Wilson, C.; Jumbert, M.G. |volume=3 |at=8 |year=2018 |doi=10.1186/s41018-018-0036-5 |pmc=PMC7149122}}</ref> At the response's core is the valuable reporting of public health data (discussed in the next section). As such, those labs and healthcare systems performing disease testing see numerous benefits in adopting and applying informatics solutions to their workflow: improved operations and positive contributions to disease reporting. If those informatics solutions are [[Cloud computing|cloud-based]] and mobile-friendly, those labs and healthcare systems may see additional benefits such as being able to test people anywhere, making testing more flexible and rapid as a result.<ref name="TWATheEight21">{{cite web |url=https://thirdwaveanalytics.com/blog/8-essential-features-sample-management-lims-in-a-covid-19-testing-lab/ |title=The 8 Essential Features for a Sample Management LIMS in a COVID-19 Testing Lab |author=Third Wave Analytics |publisher=Third Wave Analytics |date=05 September 2021 |accessdate=17 September 2021}}</ref><ref name="TonyCOVID21">{{cite web |url=https://www.labcompare.com/10-Featured-Articles/578098-COVID-19-Testing-Labs-Go-Mobile-by-Leveraging-LIMS/ |title=COVID-19 PCR Testing Labs Go Mobile by Leveraging LIMS |author=Tony, J. |work=Labcompare |date=03 August 2021 |accessdate=17 September 2021}}</ref>
Pandemic response realizes benefits through crisis and risk management systems, syndromic surveillance systems, and medical diagnostic tools. As Norwegian researchers Wilson and Jumbert note about humanitarian technologies and pandemics, "collecting information is central to the implementation of an efficient response, including situational information, needs assessment, and operational information."<ref name="WilsonTheNew18">{{cite journal |title=The new informatics of pandemic response: humanitarian technology, efficiency, and the subtle retreat of national agency |journal=Journal of International Humanitarian Action |author=Wilson, C.; Jumbert, M.G. |volume=3 |at=8 |year=2018 |doi=10.1186/s41018-018-0036-5 |pmc=PMC7149122}}</ref> At the response's core is the valuable reporting of public health data (discussed in the next section). As such, those labs and healthcare systems performing disease testing see numerous benefits in adopting and applying informatics solutions to their workflow: improved operations and positive contributions to disease reporting. If those informatics solutions are [[Cloud computing|cloud-based]] and mobile-friendly, those labs and healthcare systems may see additional benefits such as being able to test people anywhere, making testing more flexible and rapid as a result.<ref name="TWATheEight21">{{cite web |url=https://thirdwaveanalytics.com/blog/8-essential-features-sample-management-lims-in-a-covid-19-testing-lab/ |title=The 8 Essential Features for a Sample Management LIMS in a COVID-19 Testing Lab |author=Third Wave Analytics |publisher=Third Wave Analytics |date=05 September 2021 |accessdate=17 September 2021}}</ref><ref name="TonyCOVID21">{{cite web |url=https://www.labcompare.com/10-Featured-Articles/578098-COVID-19-Testing-Labs-Go-Mobile-by-Leveraging-LIMS/ |title=COVID-19 PCR Testing Labs Go Mobile by Leveraging LIMS |author=Tony, J. |work=Labcompare |date=03 August 2021 |accessdate=17 September 2021}}</ref>

Revision as of 20:19, 3 February 2022

Molecular diagnostics qia symphony.jpg

Laboratory computing has positively affected clinical service delivery and laboratory management for decades.[1] These benefits are achieved through automation elements that reduce data entry errors, reduce workloads, collect laboratory instrument data, and check for common errors like duplicate test orders.[2][3] In the world of epidemiological testing, those same laboratory informatics applications—such as laboratory information management systems (LIMS), laboratory information systems (LIS), and hospital information systems (HIS)—provide similar value.

Pandemic response realizes benefits through crisis and risk management systems, syndromic surveillance systems, and medical diagnostic tools. As Norwegian researchers Wilson and Jumbert note about humanitarian technologies and pandemics, "collecting information is central to the implementation of an efficient response, including situational information, needs assessment, and operational information."[4] At the response's core is the valuable reporting of public health data (discussed in the next section). As such, those labs and healthcare systems performing disease testing see numerous benefits in adopting and applying informatics solutions to their workflow: improved operations and positive contributions to disease reporting. If those informatics solutions are cloud-based and mobile-friendly, those labs and healthcare systems may see additional benefits such as being able to test people anywhere, making testing more flexible and rapid as a result.[5][6]

However, just purchasing a random laboratory informatics solution and putting it to use is no guarantee towards realizing the technology's actual benefits. Careful consideration, discussion, training, and policy adjustment are required to get the most of any new system. It would be beyond the scope of this guide to offer complete advice on acquiring and implementing laboratory informatics solutions. That information can be found in the Association of Public Health Laboratories' Laboratory Information Systems Project Management: A Guidebook for International Implementations or Joe Liscouski's A Guide for Management: Successfully Applying Laboratory Systems to Your Organization's Work. What follows instead are considerations to make when selecting a solution to assist your organization with COVID-19 (and other types of disease) testing workflows.

References

  1. ↑ Jones, R.G.; Johnson, O.A.; Baststone, G. (2014). "Informatics and the Clinical Laboratory". The Clinical Biochemist Reviews 35 (3): 177–192. PMC PMC4204239. PMID 25336763. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4204239. 
  2. ↑ Pitkus, A. (2018). "Laboratory Informatics: An Increasingly Valuable Commodity Emerging from Today's Laboratories". ASCLS Today 32 (2). https://ascls.org/laboratory-informatics-an-increasingly-valuable-commodity-emerging-from-today-s-laboratories/. Retrieved 13 September 2021. 
  3. ↑ Raeen, M.R. (2018). "How laboratory informatics has impacted healthcare overall". Applied Research Projects 54. doi:10.21007/chp.hiim.0056. https://dc.uthsc.edu/hiimappliedresearch/54. 
  4. ↑ Wilson, C.; Jumbert, M.G. (2018). "The new informatics of pandemic response: humanitarian technology, efficiency, and the subtle retreat of national agency". Journal of International Humanitarian Action 3: 8. doi:10.1186/s41018-018-0036-5. PMC PMC7149122. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7149122. 
  5. ↑ Third Wave Analytics (5 September 2021). "The 8 Essential Features for a Sample Management LIMS in a COVID-19 Testing Lab". Third Wave Analytics. https://thirdwaveanalytics.com/blog/8-essential-features-sample-management-lims-in-a-covid-19-testing-lab/. Retrieved 17 September 2021. 
  6. ↑ Tony, J. (3 August 2021). "COVID-19 PCR Testing Labs Go Mobile by Leveraging LIMS". Labcompare. https://www.labcompare.com/10-Featured-Articles/578098-COVID-19-Testing-Labs-Go-Mobile-by-Leveraging-LIMS/. Retrieved 17 September 2021. 
Retrieved from "https://www.limswiki.org/index.php?title=User:Shawndouglas/sandbox/sublevel1&oldid=46073"