Healthcare Simulation Dictionary

2020 ◽  
Keyword(s):  
Healthcare Simulation

SP safety, autonomy and healthcare simulation practice in the COVID-19 era

2021 ◽  
pp. bmjstel-2020-000835 ◽  
Author(s):  
Lou Clark ◽  
Anne Woll ◽  
Tamara L Owens ◽  
Deltonia Shropshire ◽  
Bob Kiser ◽  
...  
Keyword(s):  
Ethical Leadership ◽  
Skills Training ◽  
Simulated Patients ◽  
Human Beings ◽  
Healthcare Simulation ◽  
Key Terms ◽  
Simulation Practice

This letter expands upon the three tenets of the Healthcare Simulation Manifesto—comprehensive safety, collaborative advocacy, and ethical leadership. To do this, we will discuss two key terms: ‘essential’ and ‘autonomy’ in relation to safety for standardized/simulated patients (SPs). In this time of crisis, simulationists must move the boundary of skills training previously accepted as safe for human beings, and leverage technology to ensure the highest level of safety achievable for our SPs.

Working memory is limited: improving knowledge transfer by optimising simulation through cognitive load theory

2016 ◽  
Vol 2 (4) ◽  
pp. 131-138 ◽  
Author(s):  
Michael Meguerdichian ◽  
Katie Walker ◽  
Komal Bajaj
Keyword(s):  
Working Memory ◽  
Knowledge Transfer ◽  
Cognitive Load ◽  
Curriculum Design ◽  
Cognitive Load Theory ◽  
Scenario Development ◽  
Load Theory ◽  
Healthcare Simulation ◽  
Simulation Scenario ◽  
Complex Knowledge

This analysis explores how to optimise knowledge transfer in healthcare simulation by applying cognitive load theory to curriculum design and delivery for both novice and expert learners. This is particularly relevant for interprofessional learning which is team-based, as each participant comes to the simulation experience with different levels of expertise. Healthcare simulation can offer opportunities to create complex and dynamic experiences that replicate real clinical situations. Understanding Cognitive Load Theory can foster the acquisition of complex knowledge, skills and abilities required to deliver excellence in patient care without overwhelming a learner's ability to handle new materials due to working memory limitations. The 2 aspects of working memory that will be explored in this paper are intrinsic load and extrinsic load. These will be addressed in terms of the learner's level of expertise and how to consider these elements to enhance the learning environment in simulation scenario development and delivery. By applying the concepts of Cognitive Load Theory, this paper offers educators a method to tailor their curricula to navigate working memory and optimise the opportunity for knowledge transfer.

Unpacking the Social Dimensions of Research: How to Get Started in Healthcare Simulation Research

2019 ◽  
pp. 333-340
Author(s):  
Margaret Bearman ◽  
Adam Cheng ◽  
Vinay M. Nadkarni ◽  
Debra Nestel
Keyword(s):  
Social Dimensions ◽  
Simulation Research ◽  
The Social ◽  
Healthcare Simulation

scholarly journals Preface

2021 ◽  
Author(s):  
Attila Kertész
Keyword(s):  
Computer Graphics ◽  
Computer Science ◽  
Program Analysis ◽  
Review Process ◽  
Scientific Journal ◽  
Paper Version ◽  
Healthcare Simulation ◽  
Positive Experiences ◽  
Machine Learning Security ◽  
The University

The 12th Conference of PhD Students in Computer Science (CSCS) was organized by the Institute of Informatics of the University of Szeged (SZTE) and held in Szeged, Hungary, between June 24–26, 2020. The members of the Scientific Committee were the following representatives of the Hungarian doctoral schools in Computer Science: János Csirik (Co-Chair, SZTE), Lajos Rónyai (Co-Chair, SZTAKI, BME), Péter Baranyi (SZE), András Benczúr (ELTE), András Benczúr (SZTAKI), Hassan Charaf (BME), Tibor Csendes (SZTE), László Cser (BCE), Erzsébet Csuhaj-Varjú (ELTE), József Dombi (SZTE), István Fazekas (DE), Zoltán Fülöp (SZTE), Aurél Galántai (OE), Zoltán Gingl (SZTE), Tibor Gyimóthy (SZTE), Katalin Hangos (PE), Zoltán Horváth (ELTE), Márk Jelasity (SZTE), Zoltán Kása (Sapientia EMTE), László Kóczy (SZE), János Levendovszki (BME), Gyöngyvér Márton (Sapientia EMTE), Branko Milosavljevic (UNS), Valerie Novitzka (TUKE), László Nyúl (SZTE), Marius Otesteanu (UPT), Attila Pethő (DE), Vlado Stankovski (UNILJ), Tamás Szirányi (SZTAKI), Péter Szolgay (PPKE), János Sztrik (DE), János Tapolcai (BME), János Végh (ME), and Daniela Zaharie (UVT). The members of the Organizing Committee were: Attila Kertész, Balázs Bánhelyi, Tamás Gergely, Judit Jász, and Zoltán Kincses. There were more than 50 participants and 43 talks in several fields of computer science and its applications (11 sessions). The talks were going in sections in Graphs, Machine Learning, Security, Program Analysis, Healthcare, Simulation, Privacy, Computer Graphics I., Bugs, Computer Graphics II., and Distributed systems. The talks of the students were completed by 2 plenary talks of leading scientists: Tibor Gyimóthy (University of Szeged, Hungary), and Gábor Tardos (Alfréd Rényi Institute of Mathematics, Hungary). The open-access scientific journal Acta Cybernetica offered PhD students to publish the paper version of their presentations after a careful selection and review process. Altogether 29 manuscripts were submitted for review, out of which 22 were accepted for publication in the present special issue of Acta Cybernetica. The full program of the conference, the collection of the abstracts and furtherinformation can be found at https://www.inf.u-szeged.hu/~cscs/. On the basis of our repeated positive experiences, the conference will be organized in the future, too. According to the present plans, the next meeting will be held around the end of June 2022 in Szeged.

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