Artificial intelligence in critical care medicine: EC COST 13 project

1988 ◽  
Vol 5 (4) ◽  
pp. 251-257 ◽  
Author(s):  
E. R. Carson
Keyword(s):  
Artificial Intelligence ◽  
Critical Care ◽  
Critical Care Medicine

scholarly journals Critical Care, Critical Data

2019 ◽  
Vol 10 ◽  
pp. 117959721985656 ◽  
Author(s):  
Christopher V Cosgriff ◽  
Leo Anthony Celi ◽  
David J Stone
Keyword(s):  
Artificial Intelligence ◽  
Critical Care ◽  
Clinical Data ◽  
Continuous Monitoring ◽  
Data Science ◽  
Clinical Decision ◽  
Critical Care Medicine ◽  
Data Driven ◽  
Critical Data

As big data, machine learning, and artificial intelligence continue to penetrate into and transform many facets of our lives, we are witnessing the emergence of these powerful technologies within health care. The use and growth of these technologies has been contingent on the availability of reliable and usable data, a particularly robust resource in critical care medicine where continuous monitoring forms a key component of the infrastructure of care. The response to this opportunity has included the development of open databases for research and other purposes; the development of a collaborative form of clinical data science intended to fully leverage these data resources, and the creation of data-driven applications for purposes such as clinical decision support. Most recently, data levels have reached the thresholds required for the development of robust artificial intelligence features for clinical purposes. The systematic capture and analysis of clinical data in both individuals and populations allows us to begin to move toward precision medicine in the intensive care unit (ICU). In this perspective review, we examine the fundamental role of data as we present the current progress that has been made toward an artificial intelligence (AI)-supported, data-driven precision critical care medicine.

scholarly journals Evaluation of Clinical Outcomes after Introduction of a Dedicated Infectious Diseases- Critical Care Medicine Service in Critical Care Units

2021 ◽  
Author(s):  
Polina Trachuk ◽  
Vagish Hemmige ◽  
Ruth Eisenberg ◽  
Kelsie Cowman ◽  
Victor Chen ◽  
...  
Keyword(s):  
Critical Care ◽  
Infectious Diseases ◽  
Clinical Outcomes ◽  
Broad Spectrum ◽  
Critical Care Medicine ◽  
Care Hospital ◽  
Intervention Period ◽  
Broad Spectrum Antibiotics ◽  
Antibiotic Utilization ◽  
The Impact

Abstract Objective Infection is a leading cause of admission to intensive care units (ICU), with critically ill patients often receiving empiric broad-spectrum antibiotics. Nevertheless, a dedicated infectious diseases (ID) consultation and stewardship team is not routinely established. An ID-Critical Care Medicine (ID-CCM) pilot program was designed at a 400-bed tertiary care hospital in which an ID attending was assigned to participate in daily rounds with the ICU team, as well as provide ID consultation on select patients. We sought to evaluate the impact of this dedicated ID program on antibiotic utilization and clinical outcomes in patients admitted to the ICU. Method In this single site retrospective study, we analyzed antibiotic utilization and clinical outcomes in patients admitted to an ICU during post-intervention period from January 1, 2017 to December 31, 2017 and compared it to antibiotic utilization in the same ICUs during the pre-intervention period from January 1, 2015 to December 31, 2015. Results Our data showed a statistically significant reduction in usage of most frequently prescribed antibiotics including vancomycin, piperacillin-tazobactam and cefepime during the intervention period. When compared to pre-intervention period there was no difference in-hospital mortality, hospital length of stay and re-admission. Conclusion With this multidisciplinary intervention, we saw a decrease in the use of the most frequently prescribed broad-spectrum antibiotics without a negative impact on clinical outcomes. Our study shows that the implementation of an ID-CCM service is a feasible way to promote antibiotic stewardship in the ICU and can be used as a strategy to reduce unnecessary patient exposure to broad-spectrum agents.

scholarly journals Systematic review and bibliometric analysis of African anesthesia and critical care medicine research part II: a scientometric analysis of the 116 most cited articles

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ulrick Sidney Kanmounye ◽  
Joel Noutakdie Tochie ◽  
Aimé Mbonda ◽  
Cynthia Kévine Wafo ◽  
Leonid Daya ◽  
...  
Keyword(s):  
Critical Care ◽  
South African ◽  
Web Of Science ◽  
Descriptive Analysis ◽  
World Journal ◽  
Critical Care Medicine ◽  
Scientometric Analysis ◽  
Medicine Research ◽  
Qualitative Descriptive ◽  
The Impact

Abstract Background Scientometrics is used to assess the impact of research in several health fields, including Anesthesia and Critical Care Medicine. The purpose of this study was to identify contributors to highly-cited African Anesthesia and Critical Care Medicine research. Methods The authors searched Web of Science from inception to May 4, 2020, for articles on and about Anesthesia and Critical Care Medicine in Africa with ≥2 citations. Quantitative (H-index) and qualitative (descriptive analysis of yearly publications and interpretation of document, co-authorship, author country, and keyword) bibliometric analyses were done. Results The search strategy returned 116 articles with a median of 5 (IQR: 3–12) citations on Web of Science. Articles were published in Anesthesia and Analgesia (18, 15.5%), World Journal of Surgery (13, 11.2%), and South African Medical Journal (8, 6.9%). Most (74, 63.8%) articles were published on or after 2013. Seven authors had more than 1 article in the top 116 articles: Epiu I (3, 2.6%), Elobu AE (2, 1.7%), Fenton PM (2, 1.7%), Kibwana S (2, 1.7%), Rukewe A (2, 1.7%), Sama HD (2, 1.7%), and Zoumenou E (2, 1.7%). The bibliometric coupling analysis of documents highlighted 10 clusters, with the most significant nodes being Biccard BM, 2018; Baker T, 2013; Llewellyn RL, 2009; Nigussie S, 2014; and Aziato L, 2015. Dubowitz G (5) and Ozgediz D (4) had the highest H-indices among the authors referenced by the most-cited African Anesthesia and Critical Care Medicine articles. The U.S.A., England, and Uganda had the strongest collaboration links among the articles, and most articles focused on perioperative care. Conclusion This study highlighted trends in top-cited African articles and African and non-African academic institutions’ contributions to these articles.

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