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	<title>Quality Patient Care Tips 1 - Revision history</title>
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	<updated>2026-05-04T10:30:38Z</updated>
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		<title>JeffereyDadswell at 16:53, 30 December 2020</title>
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		<updated>2020-12-30T16:53:31Z</updated>

		<summary type="html">&lt;p&gt;&lt;/p&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;Revision as of 16:53, 30 December 2020&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l1&quot; &gt;Line 1:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 1:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Big data within &lt;/del&gt;the &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;health care sector will be close &lt;/del&gt;to &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;to get even bigger because &lt;/del&gt;of &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;the move toward electronic &lt;/del&gt;medical &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;records&lt;/del&gt;. &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Electronic medical records are receiving &lt;/del&gt;a &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;boost &lt;/del&gt;because of &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;the implementation of the Affordable Care Act. Therefore, &lt;/del&gt;medical &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;researchers may anticipate &lt;/del&gt;a &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;massive influx &lt;/del&gt;of &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;healthcare data to analyze&lt;/del&gt;.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;The scientific community is abuzz about &lt;/del&gt;the &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;possibility of big data &lt;/del&gt;within the &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;medical research arena&lt;/del&gt;. &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Based on Science 2.0, a science blog, several &lt;/del&gt;of the &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;clearest opportunities recently identified in this area revolve around reducing costs in several key areas:&lt;/del&gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;High-cost patients - Did you know that just 5% &lt;/del&gt;of &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;patients account &lt;/del&gt;for &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;roughly half of all US healthcare costs? By targeting these &lt;/del&gt;high-&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;cost patients, big data has &lt;/del&gt;the &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;possibility to make a large influence on total healthcare spending within &lt;/del&gt;the &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;united states. This really is a great example &lt;/del&gt;of the &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Pareto principle at work&lt;/del&gt;.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Readmissions - With nearly one-third &lt;/del&gt;of &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;readmissions deemed to be preventable&lt;/del&gt;, &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;using big data to predict which patients &lt;/del&gt;are &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;at &lt;/del&gt;a &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;high risk &lt;/del&gt;of &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;readmission could lead to better interventions and reduced re-admissions&lt;/del&gt;.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Triage - Big data could be also used &lt;/del&gt;to &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;enhance &lt;/del&gt;the &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;triage process by applying algorithms to send patients &lt;/del&gt;to the &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;correct unit &lt;/del&gt;for &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;care and ensuring that everybody involved with providing that care is promptly informed through the process&lt;/del&gt;.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Decompensation - Decompensation refers to &lt;/del&gt;a patient's &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;worsening health condition. Patient monitoring tools such as heart rate and blood pressure level monitors are used &lt;/del&gt;to &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;measure a patient's current condition. Using big data&lt;/del&gt;, &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;researchers may be better able to determine &lt;/del&gt;the &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;risk &lt;/del&gt;of &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;decompensation, allowing healthcare providers to intervene prior [https://dud.edu.in/darulifta/?qa=user/colinhndrcks head to &lt;/del&gt;the &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;dud.edu.in site] &lt;/del&gt;the &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;patient's condition worsens&lt;/del&gt;.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Adverse events - No one wishes &lt;/del&gt;to &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;suffer from an adverse health event such &lt;/del&gt;as &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;infection&lt;/del&gt;, a &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;drug reaction, or renal failure. These events often result in death, yet tend &lt;/del&gt;to &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;be preventable. Big data could make huge gains in both preventing adverse events and slashing &lt;/del&gt;their &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;associated costs&lt;/del&gt;.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Diseases affecting multiple organ systems - Systemic diseases that affect multiple organ systems &lt;/del&gt;are &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;among-the costliest to treat and manage. Using big data, &lt;/del&gt;medical &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;researchers might be better able to predict the likely progression of a disease which, consequently, would help healthcare providers develop a &lt;/del&gt;more &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;effective&lt;/del&gt;, &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;and many more cost-effective, course &lt;/del&gt;of &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;action&lt;/del&gt;.&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;While these areas &lt;/del&gt;all &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;represent significant opportunities &lt;/del&gt;for &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;medical researchers and also the medical sector at large, how can researchers possibly make sense of all that data? Based on Dolphin, &amp;quot;Big Data relates to &lt;/del&gt;the fact that &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;today's business intelligence systems are experiencing record levels of data growth from terabytes to petabytes and beyond. The challenge &lt;/del&gt;is &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;in maximizing &lt;/del&gt;the &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;opportunity for real&lt;/del&gt;-&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;time business intelligence while minimizing &lt;/del&gt;the &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;impact of exploding data volume on productivity and total cost of ownership (TCO).&amp;quot;&lt;/del&gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;This really is done &lt;/del&gt;over &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;the usage of business intelligence and data archiving software. With the proper tools in hand&lt;/del&gt;, &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;medical researchers have &lt;/del&gt;the &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;capability to make experience of &lt;/del&gt;the &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;sheer volumes of healthcare data from the past&lt;/del&gt;, &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;present&lt;/del&gt;, &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;and future&lt;/del&gt;.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Imagine how far Medicine has taken &lt;/ins&gt;the &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;world. Just a few decades ago you hardly had medicines &lt;/ins&gt;to &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;cure the simplest &lt;/ins&gt;of medical &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;problems&lt;/ins&gt;. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Will you even believe which it wasn't until the late 1960s that Ibuprofen was invented? But now virtually every issue you have may be solved with a pill, capsule or possibly &lt;/ins&gt;a &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;simple visit to an expert. This really is all &lt;/ins&gt;because of medical &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;innovations as &lt;/ins&gt;a &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;result &lt;/ins&gt;of &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;intense research&lt;/ins&gt;.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Medical research will be the deep and continuous study conducted to aid and support &lt;/ins&gt;the &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;already established knowledge &lt;/ins&gt;within the &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;field of medicine&lt;/ins&gt;. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;This form of study is often separated into two: clinical trials or perhaps the testing &lt;/ins&gt;of &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;new treatments and all &lt;/ins&gt;the &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;other studies centred to produce new treatments.&lt;/ins&gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Over the past centuries, research in the field has helped not only save lives but additionally lengthen them. Advances within the field &lt;/ins&gt;of &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;medicine, including vaccines, antibiotics, cures for cancer, medications &lt;/ins&gt;for &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt; [http://beristain.udeo.edu.gt/members/colinhndrcks/activity professional scientist] &lt;/ins&gt;high &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;blood and methods in non&lt;/ins&gt;-&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;obtrusive surgeries are already developed that further &lt;/ins&gt;the &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;sector and also &lt;/ins&gt;the &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;lives &lt;/ins&gt;of the &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;individuals&lt;/ins&gt;.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;To give you an perception of how brilliant the minds of people are within the sector &lt;/ins&gt;of &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;medicine&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;here &lt;/ins&gt;are a &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;few &lt;/ins&gt;of &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;the most amazing breakthroughs in medical research&lt;/ins&gt;.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;In accordance with Discovery News, surgeons have already developed a way for them &lt;/ins&gt;to &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;generate body organs out of plastic by utilizing stem cell regeneration. Tracheas have already been among &lt;/ins&gt;the &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;parts created through this method in an aim &lt;/ins&gt;to &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;lessen &lt;/ins&gt;the &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;amount of people who die waiting &lt;/ins&gt;for &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;organ donors&lt;/ins&gt;.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;The method is done by utilizing &lt;/ins&gt;a patient's &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;own stem cells &lt;/ins&gt;to &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;build the organ&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;which also lessens &lt;/ins&gt;the &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;probability &lt;/ins&gt;of the &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;human body rejecting &lt;/ins&gt;the &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;new organ&lt;/ins&gt;.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Doctors at the Cleveland Clinic have developed a way &lt;/ins&gt;to &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;help patients who have problems with 'suicide headaches' or what is described &lt;/ins&gt;as &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;the worst type of headaches. The doctors implanted almond-sized devices behind the upper jaw of their patients. In the study&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;67% of the patients said they felt pain relief after pressing &lt;/ins&gt;a &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;remote control that sent high stimulation &lt;/ins&gt;to their &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;heads&lt;/ins&gt;.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Transplants &lt;/ins&gt;are &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;not only a &lt;/ins&gt;medical &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;breakthrough any &lt;/ins&gt;more, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;at least not after decades &lt;/ins&gt;of &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;its invention&lt;/ins&gt;. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;People have been used to &lt;/ins&gt;all &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;this already, even using it &lt;/ins&gt;for &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;aesthetics. But what makes this Iraq vets transplant is &lt;/ins&gt;the fact that &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;he &lt;/ins&gt;is &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;only &lt;/ins&gt;the &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;seventh double&lt;/ins&gt;-&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;arm transplant success within &lt;/ins&gt;the &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;United States&lt;/ins&gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;The surgery took &lt;/ins&gt;over &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;13 hours to achieve&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;but after &lt;/ins&gt;the &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;gruelling hours &lt;/ins&gt;the &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;soldier can now play catch again.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;quot;He has an extremely optimistic outlook on life&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;which is exactly what makes him such a great candidate&lt;/ins&gt;,&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;quot; Dr. W.P&lt;/ins&gt;. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Andrew Lee, plastic surgery chief at Johns Hopkins who led the do&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>JeffereyDadswell</name></author>
		
	</entry>
	<entry>
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		<title>AmandaEberly440: Created page with &quot;Big data within the health care sector will be close to to get even bigger because of the move toward electronic medical records. Electronic medical records are receiving a bo...&quot;</title>
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		<updated>2020-12-30T16:36:25Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;Big data within the health care sector will be close to to get even bigger because of the move toward electronic medical records. Electronic medical records are receiving a bo...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;Big data within the health care sector will be close to to get even bigger because of the move toward electronic medical records. Electronic medical records are receiving a boost because of the implementation of the Affordable Care Act. Therefore, medical researchers may anticipate a massive influx of healthcare data to analyze.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;The scientific community is abuzz about the possibility of big data within the medical research arena. Based on Science 2.0, a science blog, several of the clearest opportunities recently identified in this area revolve around reducing costs in several key areas:&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;High-cost patients - Did you know that just 5% of patients account for roughly half of all US healthcare costs? By targeting these high-cost patients, big data has the possibility to make a large influence on total healthcare spending within the united states. This really is a great example of the Pareto principle at work.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;Readmissions - With nearly one-third of readmissions deemed to be preventable, using big data to predict which patients are at a high risk of readmission could lead to better interventions and reduced re-admissions.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;Triage - Big data could be also used to enhance the triage process by applying algorithms to send patients to the correct unit for care and ensuring that everybody involved with providing that care is promptly informed through the process.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;Decompensation - Decompensation refers to a patient's worsening health condition. Patient monitoring tools such as heart rate and blood pressure level monitors are used to measure a patient's current condition. Using big data, researchers may be better able to determine the risk of decompensation, allowing healthcare providers to intervene prior [https://dud.edu.in/darulifta/?qa=user/colinhndrcks head to the dud.edu.in site] the patient's condition worsens.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;Adverse events - No one wishes to suffer from an adverse health event such as infection, a drug reaction, or renal failure. These events often result in death, yet tend to be preventable. Big data could make huge gains in both preventing adverse events and slashing their associated costs.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;Diseases affecting multiple organ systems - Systemic diseases that affect multiple organ systems are among-the costliest to treat and manage. Using big data, medical researchers might be better able to predict the likely progression of a disease which, consequently, would help healthcare providers develop a more effective, and many more cost-effective, course of action.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;While these areas all represent significant opportunities for medical researchers and also the medical sector at large, how can researchers possibly make sense of all that data? Based on Dolphin, &amp;quot;Big Data relates to the fact that today's business intelligence systems are experiencing record levels of data growth from terabytes to petabytes and beyond. The challenge is in maximizing the opportunity for real-time business intelligence while minimizing the impact of exploding data volume on productivity and total cost of ownership (TCO).&amp;quot;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;This really is done over the usage of business intelligence and data archiving software. With the proper tools in hand, medical researchers have the capability to make experience of the sheer volumes of healthcare data from the past, present, and future.&lt;/div&gt;</summary>
		<author><name>AmandaEberly440</name></author>
		
	</entry>
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