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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 ...
They work with clinical, epidemiological, demographic, financial, reference, and coded healthcare data. Health information administrators have been described to "play a critical role in the delivery of healthcare in the United States through their focus on the collection, maintenance and use of quality data to support the information-intensive ...
According to an analysis of data from the Bureau of Labor Statistics data, the health care sector has grown 8.2% in the last two years, more than double the rate of all other industries combined ...
Healthcare engineering is expected to play a role of growing importance as healthcare continues to be one of the world's largest and fastest-growing industries [2] [3] where engineering is a major factor of advancement through creating, developing, and implementing cutting-edge devices, systems, and procedures attributed to breakthroughs in ...
In the healthcare industry, health informatics has provided such technological solutions as telemedicine, surgical robots, electronic health records (EHR), Picture Archiving and Communication Systems (PACS), and decision support, artificial intelligence, and machine learning innovations including IBM's Watson and Google's DeepMind platform.
Health information technology (HIT) is "the application of information processing involving both computer hardware and software that deals with the storage, retrieval, sharing, and use of health care information, health data, and knowledge for communication and decision making". [8]
Health systems engineering or health engineering (often known as health care systems engineering (HCSE)) is an academic and a pragmatic discipline that approaches the health care industry, and other industries connected with health care delivery, as complex adaptive systems, and identifies and applies engineering design and analysis principles in such areas.
Around the 1970s/1980s the term information engineering methodology (IEM) was created to describe database design and the use of software for data analysis and processing. [3] [4] These techniques were intended to be used by database administrators (DBAs) and by systems analysts based upon an understanding of the operational processing needs of organizations for the 1980s.
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