electronic system used for quality improvement and benchmarking purposes for icus epimed monitor (Epimed International)
90
Structured Review
Epimed International
electronic system used for quality improvement and benchmarking purposes for icus epimed monitor
Electronic System Used For Quality Improvement And Benchmarking Purposes For Icus Epimed Monitor, supplied by Epimed International, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/electronic+system+used+for+quality+improvement+and+benchmarking+purposes+for+icus+epimed+monitor/electronic+icu+quality+registry+epimed+monitor+system/pm32770267-45-17-18
Average 90 stars, based on 1 article reviews
Electronic System Used For Quality Improvement And Benchmarking Purposes For Icus Epimed Monitor, supplied by Epimed International, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/electronic+system+used+for+quality+improvement+and+benchmarking+purposes+for+icus+epimed+monitor/electronic+icu+quality+registry+epimed+monitor+system/pm32770267-45-17-18
Average 90 stars, based on 1 article reviews
electronic system used for quality improvement and benchmarking purposes for icus epimed monitor - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: Trends in clinical profiles, organ support use and outcomes of patients with cancer requiring unplanned ICU admission: a multicenter cohort study. Article Snippet: Purpose: To describe trends in outcomes of cancer patients with unplanned admissions to intensive-care units (ICU) according to cancer type, organ support use, and performance status (PS) over an 8-year period.. Methods: We retrospectively analyzed prospectively collected data from all cancer patients admitted to 92 medical–surgical ICUs from July/2011 to June/2019.. We assessed trends in mortality through a Bayesian hierarchical model adjusted for relevant clinical confounders and whether there was a reduction in ICU length-of-stay (LOS) over time using a competing risk model. |