Sentence examples for standardization of decision from inspiring English sources

The research topics to be addressed should include cost-benefit-analyses, acceptance of DSS by patients as well as medical professionals, standardization of decision logic, pros and cons of different system architectures (centralized vs. locally distributed/ mobile) and methods of advanced individualized data analysis (data fusion, multi-parametric analyses).

Firstly, the positive and negative ideal programs are taken as reference points through the standardization of primitive decision information.

For highly autonomous physicians and nurses this standardization of medical decision by moving to guidelines and protocols represents a difficult transition [12].

Particularly, there is a challenge for standardization of recording decision-making processes for the recording and documentation of digital data.

Standardization of clinical decisions is needed not only for clinical practice but also for rigorous clinical research [ 49].

Without standardization, the exchange of decision components and their use beyond the specific scenario of a scientific project becomes very difficult.

There is not, however, consensus or standardization of measurement for either the decision-making process or decision quality.

The prognostic and predictive value of Ki-67 was evaluated in a review developed by Luporsi et al. [ 50], and they concluded that this biomarker could be considered as a prognostic factor for therapeutic decision; however, standardization of techniques and scoring methods are needed for integration of this biomarker in everyday practice.

In regard to control, results are perceived to be influenced by the manner in which new actors are selected, the level of standardization and centralized decision-making, the extent of monitoring, and the ability of the franchisor to force the use of standards and adequate performance.

Resembling a network of binary decisions, CS requires standardization of operation parameters in order to be efficient.

It is the developing direction of automated demand response (ADR) technology, and its main features are the standardization of information exchange, together with the intelligence of decision-making and the automation of implementations.