Explanatory models in neonatal intensive care: a tutorial
Abstract Background Acute care providers intervening on fragile patients face many knowledge and information related challenges. Explanation based on causal chains of events has limitations when applied to complex physiological systems, and model-driven educational software may overwhelm the learner...
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Online Access: | http://link.springer.com/article/10.1186/s41077-018-0085-2 |
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doaj-7d19e98c2cd84dd5ba507735262fbdf02020-11-25T00:39:59ZengBMCAdvances in Simulation2059-06282018-12-01311710.1186/s41077-018-0085-2Explanatory models in neonatal intensive care: a tutorialWillem W.L. van Meurs0Timothy A.J. Antonius1Cardiovascular and Respiratory Physiology Group, Faculty of Science and Technology, University of TwenteDepartment of Neonatology, Radboudumc Amalia Children’s HospitalAbstract Background Acute care providers intervening on fragile patients face many knowledge and information related challenges. Explanation based on causal chains of events has limitations when applied to complex physiological systems, and model-driven educational software may overwhelm the learner with information. We introduce a new concept and educational technology to facilitate understanding, reasoning, and communication in the clinical environment. The aim is to grasp complex physiology in a more intuitive way. Explanatory models (EM) An EM is a representation of relevant physiologic processes that provides insight into the relationships between therapeutic interventions and monitored variables, and their dependency on incidents and pathologies. We systematically analyze types of information incorporated into models and displayed in simulations and consider their explanatory relevance. Transposition of the great arteries (TGA) A conceptual model (diagram) of the normal neonatal cardiorespiratory system is adapted to reflect TGA and implemented in animated, interactive software. Illustration of educational use The use of this model is illustrated via the explanation to pediatric residents of the relationships between blood pressures, blood flow rates, ventilation, oxygen saturation, and oxygen distribution in a neonate with TGA. Learners explore clinical scenarios and effects of therapeutic interventions. Discussion Explanatory models hold promise as mental models for clinical practice and could possibly play a role in clinical decision making in neonatal intensive care and beyond. Companion software The software is freely available via the web addendum: https://www.dropbox.com/sh/ciufq5rqxgs9bkt/AAC7oKsvkEr73eYUJkx0pZ1Ya?dl=0http://link.springer.com/article/10.1186/s41077-018-0085-2 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Willem W.L. van Meurs Timothy A.J. Antonius |
spellingShingle |
Willem W.L. van Meurs Timothy A.J. Antonius Explanatory models in neonatal intensive care: a tutorial Advances in Simulation |
author_facet |
Willem W.L. van Meurs Timothy A.J. Antonius |
author_sort |
Willem W.L. van Meurs |
title |
Explanatory models in neonatal intensive care: a tutorial |
title_short |
Explanatory models in neonatal intensive care: a tutorial |
title_full |
Explanatory models in neonatal intensive care: a tutorial |
title_fullStr |
Explanatory models in neonatal intensive care: a tutorial |
title_full_unstemmed |
Explanatory models in neonatal intensive care: a tutorial |
title_sort |
explanatory models in neonatal intensive care: a tutorial |
publisher |
BMC |
series |
Advances in Simulation |
issn |
2059-0628 |
publishDate |
2018-12-01 |
description |
Abstract Background Acute care providers intervening on fragile patients face many knowledge and information related challenges. Explanation based on causal chains of events has limitations when applied to complex physiological systems, and model-driven educational software may overwhelm the learner with information. We introduce a new concept and educational technology to facilitate understanding, reasoning, and communication in the clinical environment. The aim is to grasp complex physiology in a more intuitive way. Explanatory models (EM) An EM is a representation of relevant physiologic processes that provides insight into the relationships between therapeutic interventions and monitored variables, and their dependency on incidents and pathologies. We systematically analyze types of information incorporated into models and displayed in simulations and consider their explanatory relevance. Transposition of the great arteries (TGA) A conceptual model (diagram) of the normal neonatal cardiorespiratory system is adapted to reflect TGA and implemented in animated, interactive software. Illustration of educational use The use of this model is illustrated via the explanation to pediatric residents of the relationships between blood pressures, blood flow rates, ventilation, oxygen saturation, and oxygen distribution in a neonate with TGA. Learners explore clinical scenarios and effects of therapeutic interventions. Discussion Explanatory models hold promise as mental models for clinical practice and could possibly play a role in clinical decision making in neonatal intensive care and beyond. Companion software The software is freely available via the web addendum: https://www.dropbox.com/sh/ciufq5rqxgs9bkt/AAC7oKsvkEr73eYUJkx0pZ1Ya?dl=0 |
url |
http://link.springer.com/article/10.1186/s41077-018-0085-2 |
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AT willemwlvanmeurs explanatorymodelsinneonatalintensivecareatutorial AT timothyajantonius explanatorymodelsinneonatalintensivecareatutorial |
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