Sentence examples for outcomes cut from inspiring English sources

PAMF's Fremont Center wanted to simultaneously improve outcomes, cut waiting time, and create better workflows in order to take some of the pressure off of their often-overworked staff.

How do we create a system where doctors can improve outcomes, cut costs, and spend more time with fewer patients?

So the fund audits every grant it makes, requires measured outcomes, cuts off ineffective programs and encourages whistleblowers.

Even in lands whose leaders are no friends of Washington -- such as Venezuela and Iran -- the election outcome cut through official propaganda to touch some people.

Strobe 11: Please explain the rationale for quantitative outcome cut points and whether or not they were previously specified.

To predict treatment outcome, cut-off points for continuous variables were determined by receiver operating characteristic (ROC) curve analysis.

We want to incentivise good resettlement outcomes to cut crime and protect the public".

Southcentral's "data mall" coughs up easily understood graphics showing how well doctors and the teams they lead are doing to improve health outcomes and cut costs compared with their colleagues, their past performance and national benchmarks, and it provides them with action lists of what they can do to improve and mentors to guide them.

Re "Law on End-of-Life Care Rankles Doctors" (Personal Health, June 7): As a practicing general internist and educator and someone who advocates for palliative care, I too am "rankled" by the concept that a law mandating that physicians discuss any health topic with every patient will effect change, improve outcomes or cut costs.

This together with the possible cost saving benefits of CDSS use, in terms of increased MNC care quality and improved population health outcomes, may cut cost of health care in the long run.

Similar to the Z score cut-off levels set for the individual training outcomes, Zsum cut-off levels of +3 and −3 were used since they distinguished the same proportion of the sample (i.e., top and bottom ~16%) as 'responders' and 'non-responders', respectively.