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Epidemiological assessment may include secondary data analysis or original data collection — examples of epidemiological data include vital statistics, state and national health surveys, medical and administrative records, etc. Genetic factors, although not directly changeable through a health promotion program, are becoming increasingly ...
Although intervention mapping is presented as a series of steps, the authors see the planning process as iterative rather than linear. [1] Program planners move back and forth between tasks and steps. The process is also cumulative: each step is based on previous steps, and inattention to a particular step may lead to mistakes and inadequate ...
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 ...
For example, geographic analysis of health care data from North Carolina showed that just over 40% of the records contained errors of some sort in the geographic information (city, county, or zip code), errors that would have gone undetected without the visual displays provided by GIS. [3]
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
The defining functional effect of these technical approaches is that predictive analytics provides a predictive score (probability) for each individual (customer, employee, healthcare patient, product SKU, vehicle, component, machine, or other organizational unit) in order to determine, inform, or influence organizational processes that pertain ...
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 ...
For example, a patient's name, date of birth, or a blood-test result can be recorded in a structured data format. Unstructured health data, unlike structured data, is not standardized. [4] Emails, audio recordings, or physician notes about a patient are examples of unstructured health data.