Sentence examples for risk stratification enabling from inspiring English sources

NHS medical records, meticulously gathered over decades to benefit the patient, provide a tremendous resource to mine for risk stratification, enabling private insurers to optimise their own profit margins – they can gain access to these for a small fee and the signed agreement of the patient.

These categories represent the paediatric malignancies groupings used in most studies and in clinical risk stratifications, enabling comparisons to be made with other studies.

Improved risk stratification will enable individualised therapies, which could be a combination of conventional treatment modalities and novel, targeted therapeutic approaches.

Identifying new risk factors for incident cardiovascular disease, which add prognostic information to established risk factors, is important to improve risk stratification and enable timely initiation of individually tailored preventive measures in this high-risk population (4).

Risk stratification will enable young adult survivors to benefit from a transition process that takes them into an appropriate follow-up model and can help to identify those survivors who can be discharged from hospital-based follow-up.

This identification could lead to more optimal and individualized risk stratification and thereby enabling personalized therapy.

Prognostic stratification enables the choice of more aggressive therapies for those at higher risk.

The current parameters for treatment stratification enable stage-related therapy only to a limited degree [ 2].

Thus, early biomarkers indicating the duration/severity of hypoxia and enabling risk stratification immediately after asphyxia might be particular beneficial.

With respect to neonatology, this study provides new biomarkers that might be useful in a clinical setting for early risk stratification after perinatal asphyxia, enabling an early start of therapeutic interventions like hypothermia.

The objective of the current study was to identify risk factors associated with infection in patients suffering from open fractures, using the strength of association of these factors to propose a score that enables risk stratification in initial care.