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Compared to other major insurers’ telematics apps, DriveEasy’s definition of “what matters” requires more extensive data collection, with eight separate factors going into the DriveEasy ...
Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a research component in all study fields, including physical and social sciences, humanities, [2] and business ...
Data processing is the collection and manipulation of digital data to produce meaningful information. [1] Data processing is a form of information processing , which is the modification (processing) of information in any manner detectable by an observer.
Analysis: the process of translating data into information utilized for an application. Each aspect is analyzed with 10 different data characteristics: Accuracy: Data are the correct values and are valid. Accessibility: Data items should be easily obtainable and legal to collect. Comprehensiveness: All required data items are included. Ensure ...
This applies primarily to term life insurance policies. Ladder: Ladder offers term life insurance policies without requiring a medical exam for coverage amounts up to $3 million. Applications for ...
Clinical measures use the administrative or hybrid data collection methodology, as specified by NCQA. Administrative data are electronic records of services, including insurance claims and registration systems from hospitals, clinics, medical offices, pharmacies and labs. For example, a measure titled Childhood Immunization Status requires ...
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 ...
Data collection systems are an end-product of software development. Identifying and categorizing software or a software sub-system as having aspects of, or as actually being a "Data collection system" is very important. This categorization allows encyclopedic knowledge to be gathered and applied in the design and implementation of future systems.