The construction of a simulation-based system for the development of powerful and realistic models and practicals for healthcare professionals

Diomidous, Marianna; Verginis, Ilias; Mantas, John

doi:10.1109/4233.735782

Cited by 8 publications

(2 citation statements)

References 10 publications

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“…Reports on relatedp roject-based educational approaches can be found in the literature,e .g.f rom the health informatics/ health information science programsatthe Universities of Athens,G reece [40,41], Victoria, B.C.,C anada [42][43][44], andA alborg, Denmark [45,46].…”

Section: Discussionmentioning

confidence: 99%

Medical Informatics Education Needs Information System Practicums in Health Care Settings

Ammenwerth¹,

Häber²,

Hübner-Bloder³

et al. 2006

Methods Inf Med

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Section: Discussionmentioning

confidence: 99%

Medical Informatics Education Needs Information System Practicums in Health Care Settings

Ammenwerth¹,

Häber²,

Hübner-Bloder³

et al. 2006

Methods Inf Med

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“…Participation in European funded projects was a huge accomplishment as it brought new knowledge to the newly established Health Informatics Laboratory and much needed resources to support staffing and infrastructure [36], [37], [38]. The networking with European colleagues was the best outcome in this participation [39].…”

Section: Achievementsmentioning

confidence: 99%

A Personal Odyssey in Health Informatics: The Journey to Ithaca

Mantas

2022

Studies in Health Technology and Informatics

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The aim of this paper is to share knowledge and experiences of a professional lifetime in the field of Biomedical and Health Informatics (BMHI), almost from the time of the initiation of the domain until today. The achievements and the milestones reached are not personal, but they just indicate the progress of the field as it was experienced by the observer. The challenges are still there waiting to be tackled for the benefit of healthcare. The paper is based on a systematic review of the author’s published contributions across the professional timeline. For organizing the presentation of the results, the timeline is subdivided into five phases. In the discussion an aggregation of the achievements, milestones, and the challenges is presented.

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Simulation Languages

Roa

Prado

2006

Wiley Encyclopedia of Biomedical Engineering

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A computer simulation model is an abstract entity that describes the dynamics behavior of a target system. It can be designed according to different modeling methodologies and implemented in a computer by means of a programming language. Many specific programming languages have been developed to facilitate this implementation. These are formally designated as modeling languages. The execution of a computer model is referred to as the simulation or experimental phase. Some modern software simulation environments provide extensions to modeling languages that simplify common tasks such as parameter identification, sensitivity analysis, validation, and even the connection to external data sources and other software programs. Accordingly, specific languages used to describe, implement, and even design the subsequent experiments are called modeling and simulation languages or, simply, simulation languages. We use both modeling language and simulation language as synonymous terms throughout the text despite the fact that they are not formally the same. The high number of software environments for modeling and simulation and their dependence on the domain of the system to be modeled makes unsuccessful the review of the state of the art in this field by means of an approach based on the description of their major technical features. This work follows a more fruitful approach, which is the description of the major methodologies and technologies that underlie the simulation languages and software environments. With this objective, the chapter begins with a brief review of the most important milestones in modeling and simulation methodologies, which is followed by a formal description of the current ones. That section is followed by another one devoted to several important mathematical subjects related to language causality, which is the base of some of the major cutting edge advances in modeling languages. Several representative languages and software environments founded on the different methodologies analyzed are cited afterwards. The chapter ends with a section dedicated to review biomedical engineering applications of computer simulation models and current trends in the modeling and simulation field.

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The construction of a simulation-based system for the development of powerful and realistic models and practicals for healthcare professionals

Cited by 8 publications

References 10 publications

Medical Informatics Education Needs Information System Practicums in Health Care Settings

Medical Informatics Education Needs Information System Practicums in Health Care Settings

A Personal Odyssey in Health Informatics: The Journey to Ithaca

Simulation Languages

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