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Casemix data has been invaluable in enabling the tracking and better understanding of quality of care of healthcare providers, as well as providing a view to better managing them.
As for other epidemiological studies solid evidence for any linkage is not obvious but it is irrefutable that platelet studies have been invaluable in enabling an insight to be gained into the role of serotonin in a number of psychiatric and neurological disease [ 39, 41].
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Individual-level longitudinal data would be invaluable in enabling the correlation between experiences, ideas and births to be examined across fathers' and mothers' reproductive careers.
Involving a diverse range of stakeholders in the study was invaluable in enabling the researchers to gather different points of view with regards to an identified problem and to reveal conflicts between various stakeholders [ 17].
Characterizations of this type have been invaluable in the past.
Such predictions will be invaluable in disease screening, enabling better diagnoses of the underlying genetic predisposition, driving the benefits of personal genome sequencing and personalized molecular medicine (Dudley et al. 2012).
This information will be invaluable in designing future prevention strategies, and enabling clinicians to give evidence based advice to patients keen to avoid future episodes of low back pain.
Unprecedented opportunities exist for the expanded use of nutrition to reduce the risk of disease, and these new enabling technologies would be invaluable in that regard.
In addition, predictive markers of response would be invaluable in individualising patient treatment as it would enable discrimination of those patients likely to respond to combination therapy from those likely to be non-responsive.
Multiplanar reformations, also using MIP algorithms, are invaluable in precisely depicting these short, small-calibre fistulous tracks, thus enabling an accurate preoperative planning (Figs. 1, 2).
The use of whole systems modelling data were invaluable in addressing questions of potential cost-effectiveness of service improvements, enabling a better understanding of the impacts of service changes on each other.
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