Results 191 to 200 of about 12,233,325 (265)
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International Journal of Stroke, 2018
ASPECTS : Alberta Stroke Program Early Computed Tomography Score EVT : endovascular therapy mRS : modified Rankin Scale mTICI : modified thrombolysis in cerebral infarction NIHSS : National Institutes of Health Stroke Scale QI : quality improvement SAH :
David Sacks +20 more
semanticscholar +1 more source
ASPECTS : Alberta Stroke Program Early Computed Tomography Score EVT : endovascular therapy mRS : modified Rankin Scale mTICI : modified thrombolysis in cerebral infarction NIHSS : National Institutes of Health Stroke Scale QI : quality improvement SAH :
David Sacks +20 more
semanticscholar +1 more source
Quality Improvement Methodology
Otolaryngologic Clinics of North America, 2022Patient Safety and Quality Improvement as a formal discipline has become widely established, with hospitals and health systems dedicating significant resources to improvement science. Physicians have leadership potential in quality and safety due to their clinical expertise and influence with both patients and hospital leadership.
Jennifer M, Lavin, Jonathan B, Ida
openaire +2 more sources
Improving the Quality of Quality Improvement Projects
The Joint Commission Journal on Quality and Patient Safety, 2010As the stakes grow for evaluating the quality of health care delivery, so too should greater attention be paid to the integrity of the design, conduct, and inferences made from QI projects. QI projects that seek to make inferences, especially public inferences, about the impact of an intervention to improve quality of care should be rigorously designed
Sean M, Berenholtz +4 more
openaire +2 more sources
Data Evaluation and Enhancement for Quality Improvement of Machine Learning
International Conference on Software Quality, Reliability and Security, 2020The poor quality of a dataset may produce low quality machine learning system. Therefore, transfer learning as a demonstrated effective approach for data quality improvement has been widely used for improving the quality of machine learning. However, the
Haihua Chen, Jiangping Chen, Junhua Ding
semanticscholar +1 more source

