Sentence examples for risk stratification process from inspiring English sources

A single emergency physician, blinded at the time to the patient outcomes, retrospectively undertook the risk stratification process using the prospectively collected data items and initial ED-acquired electrocardiogram.

The form guided clinicians through the risk stratification process and recommended appropriate VTE prophylaxis.

For example, if one large surgery order set was designed, we found that the risk stratification process would be too cumbersome and time consuming for providers.

The contribution of an effective and reliable biomarker to this risk stratification process is an exciting prospect, and there is evidence that methylation markers may have an important role.

Thus, a rational and pragmatic risk stratification process should include both peak VO2 and ventilatory efficiency parameters, and in particular, the measurement of the Ve/VCO2 slope and ventilatory equivalent for carbon dioxide should be performed in patients with PAH/CTEPH.

Since the presence of these factors lead to higher resource utilization they are logical candidates for inclusion in risk stratification selection processes for care management programs and for clinical attention in these programs.

We have defined risk stratification as the process of quantifying the probability of a harmful effect to individuals resulting from a range of internal and external factors (e.g., demographic characteristics, genetic make-up, medical treatments).

Current study findings suggest the need for strategies that help to improve the assessment of family history of CRC and the identification of potential familial risk in the primary care-setting Health care providers report the need for clear guidance on the risk stratification and referral process of patients [ 44, 45].

Designing specialty-specific order sets allowed us to customise and condense the risk stratification and prophylaxis selection process.

Nonetheless the complex interaction of these markers with many other gene mutations that can modify the final prognostic impact, or the effect of intrinsic mutational characteristics, such as, allelic burden or mutation site on protein function and prognosis, make molecular risk stratification a highly complex process.

Serum biomarkers may assist clinicians in risk stratification and decision-making processes [ 10].