international summit
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Author(s):  
Jordan Long ◽  
Samuel Calabrese ◽  
Ahmed Al-jedai ◽  
Anthony Boyd ◽  
Michael Cotugno ◽  
...  

Abstract Disclaimer In an effort to expedite the publication of articles related to the COVID-19 pandemic, AJHP is posting these manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. Purpose The proceedings of an international summit on the current and desired future state of use of robotic systems to compound intravenous (IV) solutions are summarized. Summary The International IV Robotics Summit was held at the Cleveland Clinic main campus in Cleveland, OH, on April 29 and 30, 2019. The purpose of the summit was 2-fold: (1) to define the current state of robotic IV compounding and (2) to develop a guide for automation companies, pharmacy departments, and drug manufacturers to improve the technology and expand the use of IV robotics in health systems in the future. The first day of the summit included 45-minute presentations by each of the speakers. Each lecturer recounted a different hospital’s experience implementing and using IV robotics. On day 2 of the summit, an expert panel dedicated to mapping the future of IV robotics was convened to determine barriers to widespread adoption of IV robotics in health systems and offer potential solutions to remove these barriers. The expert panel targeted 3 specific audiences: robot manufacturers, drug manufacturers, and fellow pharmacy leaders. Conclusion It is the hope of the international faculty that the information that emerged from the summit can be used by others to successfully implement IV compounding robotics in their sterile products areas to maximize patient safety. The summit also served as a call to action for pharmacy leaders, drug manufacturers, and robotic companies to develop a safer, more efficient future for patients by working together to optimize the development and operation of IV robotics.


2020 ◽  
pp. bmjnph-2020-000090
Author(s):  
Eden M Barrett ◽  
Mhairi Brown ◽  
Luke Buckner ◽  
James Bradfield ◽  
Ali A Khalid ◽  
...  

IntroductionNutrition is a ‘hard’ science in two ways; the scientific rigour required for quality nutrition research, and equally, the challenges faced in evidence translation. Ways in which quality nutrition research can be synthesised and evidence effectively translated into practice were the focus of the Fourth Annual International Summit on Medical and Public Health Nutrition Education and Research.SettingWolfson College, University of Cambridge, and Addenbrookes Hospital at the Cambridge Biomedical Campus, Cambridge, in July 2018.Key findingsOpen communication and collaboration across disciplines and systems, including transfer of knowledge, ideas and data through international knowledge application networks, was presented as a key tool in enhancing nutrition research and translation of evidence. Increasing basic nutrition competence and confidence in medical professionals is needed to encourage the implementation of nutrition therapy in prevention and treatment of health outcomes.ConclusionsA sustained focus on producing quality nutrition research must be coupled with increased efforts in collaboration and building of knowledge networks, including educating and training multidisciplinary health and medical professionals in nutrition. Such efforts are needed to ensure nutrition is both reliable in its messaging and effective in translation into healthcare.


2020 ◽  
pp. bmjnph-2020-000118
Author(s):  
Celia Laur ◽  
Jørgen Torgerstuen Johnsen ◽  
James Bradfield ◽  
Timothy Eden ◽  
Sucheta Mitra ◽  
...  

IntroductionLike many of the biological sciences, nutrition has rapidly become a science which relies heavily on data collection, analysis and presentation. Knowledge gaps exist where data does not, and so the fifth annual International Summit on Medical and Public Health Nutrition Education and Research was held to address the theme of ‘Closing the Gap: Data-based Decisions in Food, Nutrition and Health Systems’.SettingHomerton College, University of Cambridge, Cambridge in July 2019.Key findingsData-driven decision making is more likely to lead to positive change in areas such as malnutrition, food insecurity and food production. These decisions must be informed by multiple stakeholders from various backgrounds in multisectorial collaboration. Case examples presented at the Summit contribute to the International Knowledge Application Network in Nutrition 2025, which aims to help identify and close gaps in nutrition and healthcare.ConclusionsFormation of international networks are required to advance nutrition research, identify gaps and generate high-quality data. These data can be used to adequately train healthcare professionals resulting in positive impact on clinical and public health. Strengthening collaboration between existing networks will be essential in sharing data for better health outcomes.


Author(s):  
A. Vaiva ◽  
Y. Afanaseva ◽  
J. Khatri

The Global Virtual Summit & Expert Discussion was organised on “COVID-19: Global Impact” 15–19 June’ 2020 on the lapse of 100 days period since the fi rst case of COVID-19 was discovered in the world. Several prominent agencies jointly organised the Summit from diff erent regions that are engaged in social-economic-political research. A large number of experts addressed the Summit, policy-makers and researchers from various sectors of economy, politics, diplomacy, science, social institutions, civil society, education and healthcare discussing New Norm and ways foreword.


2020 ◽  
Vol 14 (S6) ◽  
Author(s):  
Stephen R. Hanney ◽  
Pavel V. Ovseiko ◽  
Kathryn E. R. Graham ◽  
Heidi Chorzempa ◽  
Maxi Miciak

2020 ◽  
Vol 12 (3) ◽  
pp. 303-311
Author(s):  
Brent Thoma ◽  
Eric Warm ◽  
Stanley J. Hamstra ◽  
Rodrigo Cavalcanti ◽  
Martin Pusic ◽  
...  

ABSTRACT Background With the implementation of competency-based assessment systems, education programs are collecting increasing amounts of data about medical learners. However, learning analytics are rarely employed to use this data to improve medical education. Objective We identified outstanding issues that are limiting the effective adoption of learning analytics in medical education. Methods Participants at an international summit on learning analytics in medical education generated key questions that need to be addressed to move the field forward. Small groups formulated questions related to data stewardship, learner perspectives, and program perspectives. Three investigators conducted an inductive qualitative content analysis on the participant questions, coding the data by consensus and organizing it into themes. One investigator used the themes to formulate representative questions that were refined by the other investigators. Results Sixty-seven participants from 6 countries submitted 195 questions. From them, we identified 3 major themes: implementation challenges (related to changing current practices to collect data and utilize learning analytics); data (related to data collection, security, governance, access, and analysis); and outcomes (related to the use of learning analytics for assessing learners and faculty as well as evaluating programs and systems). We present the representative questions and their implications. Conclusions Our analysis highlights themes regarding implementation, data management, and outcomes related to the use of learning analytics in medical education. These results can be used as a framework to guide stakeholder education, research, and policy development that delineates the benefits and challenges of using learning analytics in medical education.


mBio ◽  
2020 ◽  
Vol 11 (2) ◽  
Author(s):  
Robin Patel ◽  
Esther Babady ◽  
Elitza S. Theel ◽  
Gregory A. Storch ◽  
Benjamin A. Pinsky ◽  
...  

2020 ◽  
Vol 44 (S1) ◽  
Author(s):  
Robert G. Martindale ◽  
David Berlana ◽  
Joseph I. Boullata ◽  
Wei Cai ◽  
Philip C. Calder ◽  
...  

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