Inter-hydrological model differences are likely attributed to alternative model structures, process representations and PET methods (Linacre for MIKE SHE and SLURP, Penman Monteith for Mac-PDM.09).
To compare the two health care systems, we focused on aspects of the health care system derived from both the Chronic Care Model and Donabedian's model of structure, process, and outcome [ 13, 14].
Differences in hydrological model responses to land use were, however, significant for extremes due to dissimilarities in hydrological model structure and process equations.
In general, models differ in their underlying attempts to match natural complexities with assumed or imposed model structure and process formulations to estimate model parameters, to gather data and to address issues on scope, scale and natural variations.
During the model structure learning process, instantiated components based on given patterns are added into model seeds and components are subtracted from the models.
In 1992, Avedis Donabedian applied the industrial model of structure, process, and outcome measures to the healthcare process.
In view of the results, we re-evaluated research training in our program utilizing the Avedis Donabedian health care improvement model of structure, process and outcomes [ 9].
Within the fundamentals of the proposed phenomenological modelling approach that guide the model structuring, the process tasks are decomposed into the relevant phases and physicochemical phenomena involved, identifying the connections and influences amongst them and evaluating the individual rates.
In the framework, it is conceptualized as the guiding assumption underlying a practice model's structure, processes, and outcomes.
