Sentence examples for improvement challenges from inspiring English sources

Participants will also experience a gameplay of "Friday Night at the ER" to apply systems thinking to tackle quality improvement challenges.

These have rarely achieved sustainable implementation [ 1], mirroring clinical quality improvement challenges.

However, a number of funded research programmes are reportedly underway 18 in US-based healthcare settings focused on, for example, overcoming the improvement challenges associated with patient provider communication issues, pain control and comfort, and the prevention of falls.

Initial operational definitions for codes will be established from the extant literature on RBV, the dimensions of which will be refined across the analysis in new organisational contexts and improvement challenges.

Oakley, the former Knicks enforcer who was traded for Camby in June 1998, has belittled Camby's improvement, challenging him to post his typical double-double against them.

Indeed, the application of network coding to the realm of failure recovery in optical networks has been marking a major departure from traditional protection schemes as it could potentially achieve both rapid recovery and capacity improvement, challenging the prevailing wisdom of trading capacity efficiency for speed recovery and vice versa.

Due to partial agreement with nature, models have an important predictive power (although to a limited extent) in building an interpretative framework for other researchers until new information (obtained after technological improvements) challenges and rebuilds these frameworks [ 9].

Performance measurement for health system improvement : experiences, challenges and prospects / edited by Peter C. Smith... [et al.].

However, despite improvement efforts, challenges remain in meeting the AAP 3-day TIE recommendation.

The wheat genome holds the key to crop genetic improvement against challenges such as climate change, environmental degradation, and water scarcity.

However, this improvement presents challenges as the alignments of next generation sequence data to a reference genome cannot be directly used as input to existing detection algorithms, which instead typically use multiple sequence alignments as input.