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VISTA's Architecture is an "Onion" with concentric layers of functions. At its core is a single shared database that all applications use. The Veterans Health Information Systems and Technology Architecture (VISTA) is the system of record for the clinical, administrative and financial operations of the Veterans Health Administration [1] VISTA consists of over 180 clinical, financial, and ...
The Veterans Health Administration (VHA) is the component of the United States Department of Veterans Affairs (VA) led by the Under Secretary of Veterans Affairs for Health [2] that implements the healthcare program of the VA through a nationalized healthcare service in the United States, providing healthcare and healthcare-adjacent services to veterans through the administration and operation ...
Buffer management, therefore, represents a crucial attribute of the theory of constraints. There are many ways to apply buffers, but the most often used is a visual system of designating the buffer in three colors: green (okay), yellow (caution) and red (action required).
The strategic assumptions surfacing and testing method is one rigorous method of identifying strategic assumptions. Like other types of assumptions, strategic assumptions are the assumptions held by decision-makers about different types of factors and drivers of change that have influenced their thinking, decision-making or planning.
The Geriatric Research, Education and Clinical Center (GRECC) was established in 1978 as a specialty program addressing dementia concerns among aging veterans across the VISN23 VA Midwest Health Care Network. [13] [14] GRECC operates a clinical service to identify and treat a variety of dementia-related conditions. The center also operates ...
In statistical quality control, the ¯ and s chart is a type of control chart used to monitor variables data when samples are collected at regular intervals from a business or industrial process. [1] This is connected to traditional statistical quality control (SQC) and statistical process control (SPC).
Since in linear regression it is possible to directly compute the factor (n − p − 1)/(n + p + 1) by which the training MSE underestimates the validation MSE under the assumption that the model specification is valid, cross-validation can be used for checking whether the model has been overfitted, in which case the MSE in the validation set ...
Survival models can be viewed as consisting of two parts: the underlying baseline hazard function, often denoted (), describing how the risk of event per time unit changes over time at baseline levels of covariates; and the effect parameters, describing how the hazard varies in response to explanatory covariates.