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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; claims and cost data, pharmaceutical and research and development (R&D) data, clinical data (collected from electronic medical records (EHRs)), and patient behavior and sentiment data (patient behaviors and preferences, (retail purchases e.g. data ...
Health informatics. Medical informatics introduces information processing concepts and machinery to the domain of medicine. Health informatics is the study and implementation of computer structures and algorithms to improve communication, understanding, and management of medical information. [ 1] It can be viewed as a branch of engineering and ...
Aggregate US hospital costs were $387.3 billion in 2011—a 63% increase since 1997 (inflation adjusted). Costs per stay increased 47% since 1997, averaging $10,000 in 2011 (equivalent to $13,544 in 2023 [ 31] ). [ 128] As of 2008, public spending accounts for between 45% and 56% of US healthcare spending. [ 129]
Clinical coder. A clinical coder —also known as clinical coding officer, diagnostic coder, medical coder, or nosologist —is a health information professional whose main duties are to analyse clinical statements and assign standardized codes using a classification system. The health data produced are an integral part of health information ...
Data science is an interdisciplinary field [ 10] focused on extracting knowledge from typically large data sets and applying the knowledge and insights from that data to solve problems in a wide range of application domains. The field encompasses preparing data for analysis, formulating data science problems, analyzing data, developing data ...
Health data is any data "related to health conditions, reproductive outcomes, causes of death, and quality of life " [ 1] for an individual or population. Health data includes clinical metrics along with environmental, socioeconomic, and behavioral information pertinent to health and wellness. A plurality of health data are collected and used ...
Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [ 1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science ...
These networks share data among sensor nodes that are sent to a distributed system for the analytics of the sensory data. [244] Another challenge is the storage of this bulk data. Depending on the application, there could be high data acquisition requirements, which in turn lead to high storage requirements.
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