Background: Digital games play an important role in the learning process, and are used to teach languages and train surgeons. Based on theoretical frameworks that prove the relevance of games in teaching, we began developing a computer game that simulates a hospital, so that medical students could analyze clinical cases from different areas of medical science, including neurology, while playing a game. Objectives: Create a game to teach medicine in a ludic manner. Design and Setting: The game is being developed by Doctors, Programmers, Engineers, students of Medicine, Information Technology (IT), Design and Architecture from Brazil and Peru, in a startup incubator from Centro Universitário de Belo Horizonte, in partnership with the Universidad Científica del Sur, Lima, Peru. Methods: Medical students, under the supervision of Doctors, defined behavioral algorithms, based on Brazilian guidelines, and outcomes (i.e. gain or loss of points, clinical improvement or worsening) addressing different topics in Medicine. Design students created the artistic elements. IT students programmed the prototype of the game using Unity software. Results: An expandable minimum viable product was obtained, with artistic elements of two characters, one being a non-playable character, a scenario, and a dialogue script based on a clinical examination of a patient. Conclusion: The software is running, with the launch of the pre-alpha version in December 2021. A scoring system will be included for qualitative assessment of the player, as well as feedback reports to educate the player. We speculate this game will improve accuracy and clinical skills of medical students.
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Background Brazillian authorities reported a total of 16.3 million cases and 454.000 deaths during COVID-19 pandemic in Brazil by may 2021. It became necessary to educate healthcare professionals on diagnosis and treatment of the syndrome. Game based learning surfaced as an effective alternative, since it promotes critical thinking and problem solving skills. A team of Brazilian and Peruvian students, physicians, designers and programmers gathered to create a decision based computer game that simulates a hospital scenario and allows medical students to analise, make decisions and receive feedback. This work describes the creative process and showcase the initial version of the software. Methods Professors and students of Medicine, Information Technology (IT), Design and Architecture from Brazil and Peru assembled a team in order to develop the computer game. Clinical cases were created by the medical students and professors, comprising medical procedures for the treatment and management of COVID 19, and a video game script was developed exploring gamification principles of challenge, objectivity, persistence, failure, reward and feedback. Algorithms (image 1) were created, under supervision of professors of Medicine, to define possible courses of action and outcomes (e.g. gain or loss of points, improvement or worsening of the patient). Students of Design created artistic elements, and IT students programmed with a game engine software. This fluxogram, written in portuguese, describes in detail all the possible courses of actions that can be exercised by the player. It is created by a team of Professors of Medicine and medical students, in accordance with evidence-based guidelines. Primarily, this document guides the programmers and designers throughout the development phase of the game. Results Initially, an expandable minimum viable product was obtained. The game, visualized on image 2, consists in a non-playable character and a playable character (i.e. doctor), with a scenario and a dialogue script simulating a clinical examination of a COVID 19 patient. The player can interact with certain elements within the game, e.g. the computer and other characters, to retrieve test results or start dialogues with relevant information. Hospital scenario and dialogue window between doctor (player in black) and patient (non playable character) are displayer in the game engine software (Unity 2D). On the bottom half of the screen, the dialogue box allows the player to collect the patient’s medical history. The player can interact with certain elements to obtain relevant information to make decision and progress in the game. Conclusion The game allows medical students to practice diagnosis and treatment of COVID 19. Future versions will include assessment reports of player’s actions, and a new score system will be implemented. New diseases will be incorporated in the gameplay to match the variety of scenarios offered by real hospitals and patients. Artificial intelligence will be employed to optimize gameplay, feedback and learning. Disclosures All Authors: No reported disclosures
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