Sentence examples for decision making provided from inspiring English sources

Psychosocial distress may be minimised by ensuring that patients are sufficiently involved in decision making, provided with tailored information and adequate preparation for potentially threatening procedures.

Guidelines can be helpful in clinical decision making, provided that they have been developed following rigorous methodology and provided that they address clinically and patient-important endpoints (Guyatt et al. 2008b).

The lack of available tools to aid in decision making provides a challenge to patients and practitioners seeking to make an informed decision in this context [ 7, 10, 16, 19].

Discussion of learning organization highly relevant and review of behavior aspects of decision making provides very nice complement.

When senior managers explain why they have made certain strategic decisions, make themselves available for honest two-way communication with the rank and file, involve employees in decision making, provide ample advance notice of change, and treat people's concerns with respect, the practice of process fairness is likely to spread like wildfire throughout the rest of the organization.

Both of these constructs relate to the importance individuals attribute to people with whom they are in close contact, and their influence on individual decision making, providing support for the following hypothesis: There is a positive relationship between the importance consumers place on benevolent values and their subjective norms.

The NRC framework for risk-based decision making provides a structure for such stakeholder engagement.

The concept of shared decision making provides an important and useful framework to put this model into practice [ 17].

Such shared decision making provides 'patients' with personal control which is likely to enhance positive experiences and satisfaction.

Recent work in shared decision making provides a promising avenue of research to redress these gaps [ 13].

In any case, the model is an aid to clinical decision making, providing quantitative information and alerting medical teams to reconsider decisions diverging radically from model prediction.