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 Liscouski PlanDisruptLabOper2022.png|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Kohn LearnHlthSys2022 6-1.jpg|240px]]</div>
'''"[[LII:Planning for Disruptions in Laboratory Operations|Planning for Disruptions in Laboratory Operations]]"'''
'''"[[Journal:Creating learning health systems and the emerging role of biomedical informatics|Creating learning health systems and the emerging role of biomedical informatics]]"'''


A high-level of productivity is something laboratory management wants and those working for them strive to achieve. However, what happens when reality trips us up? We found out when [[COVID-19]] appeared. This work from laboratory informatics veteran Joe Liscouski examines how [[laboratory]] operations can be organized to meet that disruption, as well as other disruptions we may have to face. Many of these changes, including the introduction of new technologies and changing attitudes about work, were in the making already but at a much slower pace. Over the years, productivity has had many measures, from 40 to 60 hour work weeks and piece-work to pounds of material processed to samples run, all of which comes from a manufacturing mind set. People went to work in an office, lab, or production site, did their work, put in their time, and went home. That was in the timeframe leading up to the 1950s and '60s. Today, in 2022, things have changed ... ('''[[LII:Planning for Disruptions in Laboratory Operations|Full article...]]''')<br />
The nature of [[information]] used in medicine has changed. In the past, we were limited to routine clinical data and published clinical trials. Today, we deal with massive, multiple data streams and easy access to new tests, ideas, and capabilities to process them. Whereas in the past getting information for decision-making was a challenge, today's clinicians have readily available access to information and data through the multitude of data-collecting devices, though it remains a challenge at times to analyze, evaluate, and prioritize it. As such, clinicians must become adept with the tools needed to deal with the era of big data, requiring a major change in how we learn to make decisions. Major change is often met with resistance and questions about value. A "learning health system" (LHS) is an enabler to encourage the development of such tools and demonstrate value in improved decision-making ... ('''[[Journal:Creating learning health systems and the emerging role of biomedical informatics|Full article...]]''')<br />
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Revision as of 16:16, 17 October 2022

Fig1 Kohn LearnHlthSys2022 6-1.jpg

"Creating learning health systems and the emerging role of biomedical informatics"

The nature of information used in medicine has changed. In the past, we were limited to routine clinical data and published clinical trials. Today, we deal with massive, multiple data streams and easy access to new tests, ideas, and capabilities to process them. Whereas in the past getting information for decision-making was a challenge, today's clinicians have readily available access to information and data through the multitude of data-collecting devices, though it remains a challenge at times to analyze, evaluate, and prioritize it. As such, clinicians must become adept with the tools needed to deal with the era of big data, requiring a major change in how we learn to make decisions. Major change is often met with resistance and questions about value. A "learning health system" (LHS) is an enabler to encourage the development of such tools and demonstrate value in improved decision-making ... (Full article...)

Recently featured: