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Demographics include patient information that is not medical in nature. It is often information to locate the patient, including identifying numbers, addresses, and contact numbers. It may contain information about race and religion as well as workplace and type of occupation. It also contains information regarding the patient's health ...
Health indicators are quantifiable characteristics of a population which researchers use as supporting evidence for describing the health of a population.Typically, researchers will use a survey methodology to gather information about a population sample, use statistics in an attempt to generalize the information collected to the entire population, and then use the statistical analysis to make ...
Sample view of an electronic health record. An electronic health record (EHR) is the systematized collection of patient and population electronically stored health information in a digital format. [1] These records can be shared across different health care settings.
The association's current name is meant to cover the wide variety of areas which health professionals work in today. AHIMA members affect the quality of patient information and patient care at every touch point in the healthcare delivery cycle. They often serve in bridge roles, connecting clinical, operational, and administrative functions. [4]
Biomedical data science is a multidisciplinary field which leverages large volumes of data to promote biomedical innovation and discovery. Biomedical data science draws from various fields including Biostatistics, Biomedical informatics, and machine learning, with the goal of understanding biological and medical data.
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The Demography of the World Population from 1950 to 2100. Data source: United Nations — World Population Prospects 2017. Demography (from Ancient Greek δῆμος (dêmos) 'people, society' and -γραφία (-graphía) 'writing, drawing, description') [1] is the statistical study of human populations: their size, composition (e.g., ethnic group, age), and how they change through the ...
For example, an electronic evidence-based medicine system may potentially consider a patient's symptoms, medical history, family history and genetics, as well as historical and geographical trends of disease occurrence, and published clinical data on therapeutic effectiveness when recommending a patient's course of treatment.