Sentence examples for refinement risk from inspiring English sources

If relevant information is identified, and if there is an established link between the endpoint and an adverse population effect [ 88], this can then be used to refine the ERA assumptions as appropriate, and options for further risk refinement, risk management or further research can then be considered in the ERMP.

This, in turn, should accelerate refinement of risk stratification and thereby aid selection of appropriate therapies for individual patients.

In individuals without diabetes, a low ABI may be used for refinement of risk stratification (5).

This might provide insights into subpopulations of civilian trauma populations and aid in the refinement of risk prediction models.

It is not possible to ascertain, however, whether this refinement in risk adjustment would alter the adjusted reoperation rates to the extent that different outliers would be identified.

It is hoped that this will result in an accelerated refinement of risk stratification and more appropriate therapies for individual patients.

Measurements of H. pylori infection together with the family history allow meaningful refinement of risk stratification beyond that provided by either factor alone.

In particular, the low incidence of PTLD (1 5%) means that the generation of prophylactic autologous CTLs in advance for patients is not usually cost-effective, although the refinement of risk factors may make prediction worthwhile (Uhlin et al, 2014).

The assessment of quality of care, and ongoing refinement of risk adjustment methods, is ultimately intended to provide information to different audiences to assist in continuously improving the quality of care.

In addition, experts agree that more research and further refinement of risk assessment are required to estimate the acute and chronic potential effects of pharmaceuticals in the environment [ 11, 15].

Each site participating in the NIH-funded IGNITE Network is developing and testing a clinical model for implementing genomic information (including diagnostic refinement, disease risk assessment, pharmacogenomic and family history data) into patient care with incorporation of the genomic information into the EHR and measures of outcomes in response to a genomic medicine intervention.