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Big data ethics, also known simply as data ethics, refers to systemizing, defending, and recommending concepts of right and wrong conduct in relation to data, in particular personal data. [1] Since the dawn of the Internet the sheer quantity and quality of data has dramatically increased and is continuing to do so exponentially.
The U.S. Department of Health and Human Services (HHS) estimated that 20.0 million adults (aged 18–64) gained healthcare coverage via ACA as of February 2016; [6] similarly, the Urban Institute found in 2016 that 19.2 million non-elderly Americans gained health insurance coverage from 2010 to 2015. [203]
First, 'big data' is an important aspect of twenty-first century society, and the analysis of 'big data' allows for a deeper understanding of what is happening and for what reasons. [1] Big data is important to critical data studies because it is the type of data used within this field.
Health care analytics is the health care analysis activities that can be undertaken as a result of data collected from four areas within healthcare: (1) claims and cost data, (2) pharmaceutical and research and development (R&D) data, (3) clinical data (such as collected from electronic medical records (EHRs)), and (4) patient behaviors and preferences data (e.g. patient satisfaction or retail ...
At the encouragement of the Obama administration, the 111th Congress devoted much of its time to enacting reform of the United States' health care system. Known as the "House bill", HR 3962 was the House of Representatives' chief legislative proposal during the health reform debate.
In his first public response to the consumer outcry following the fatal shooting of one of his top executives, UnitedHealth Group CEO Andrew Witty said Friday that the US health system “is not ...
Some people think using artificial intelligence for so-called "prior authorizations" in the healthcare industry has become too excessive, fuelling public anger at insurance companies. "That's ...
Healthcare quality and safety require that the right information be available at the right time to support patient care and health system management decisions. Gaining consensus on essential data content and documentation standards is a necessary prerequisite for high-quality data in the interconnected healthcare system of the future.