Puspa Wardhani, - (2023) International Conference on Prevention and Infection Control 2023. Antimicrobial Resistance and Infection Control, 12 (1). p. 81.
Text (Artikel)
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Abstract
Introduction: Clinical case simulators have high data processing, which results in extremely heavy, slow and expensive computational programs, but which can be solved with the implementation of a decision tree with sufficient branches to demonstrate the consequences of a clinical case action. for medical skill and competency training. Objectives: Demonstrate the development of a web tool, based on SaaS (software as a service) and decision tree, for simulating highly complex clinical cases, editable for medical and academic users, capable of implementing multiple scenarios. Methods: It was developed a simulators of clinical cases that was lighter and faster to process. Based on retrospective bibliographical reviews, the decision tree was chosen as an efficient technology for simulating medical cases, since it is a graphic way of representing decisions and their possible consequences, enabling change of course without concrete repercussions. Results: The simulator managed to be developed according to questions and answers that faithfully simulate a medical care and implementation of a decision tree in a web platform and available as SaaS. In this way, the generated simulator is capable of executing clinical cases with correct and optimized processing capacity, with a degree of uncertainty and customized for use. The developed prototype can be adapted, edited and updated at any time, according to the protocol of each country or according to the clinical case desired by the users, being a great differential for medical simulation. The software has graphic resources for adding nodes to the decision tree, with the capacity for multiple outcomes, including multiple reactions in cases of infection, such as COVID-19 and Hepatitis C (HCV). Conclusion: Simulation in the medical scenario is a teaching strategy that is increasingly valued in undergraduate and graduate medical courses, and the use of fast processing simulators that can be edited and updated will have a great impact on medical education, allowing training clinical reasoning and decision-making based on the latest updates.
Item Type: | Article | ||||
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Subjects: | R Medicine > RB Pathology > RB37-56.5 Clinical pathology. Laboratory technique | ||||
Divisions: | 01. Fakultas Kedokteran > Patologi Klinik | ||||
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Depositing User: | Dwi Marina | ||||
Date Deposited: | 03 Jun 2024 08:17 | ||||
Last Modified: | 06 Jun 2024 04:21 | ||||
URI: | http://repository.unair.ac.id/id/eprint/133305 | ||||
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