Document type
Book chapters
Title
Simulation for Medical Training
Participants in the publication
Cecilia Dias Flores (Author)
UNIVERSIDADE FEDERAL DE CIÊNCIAS DA SAÚDE DE PORTO ALEGRE
Ana Respício (Author)
Dep. Informática
CMAFcIO
Helder Coelho (Author)
Dep. Informática
LabMAg
BioISI
Marta Rosecler Bez (Author)
UNIVERSIDADE FEDERAL DE CIÊNCIAS DA SAÚDE DE PORTO ALEGRE
João Marcelo Fonseca (Author)
UNIVERSIDADE FEDERAL DE CIÊNCIAS DA SAÚDE DE PORTO ALEGRE
Summary
In a recent meeting held in London in April, Wired Health 2014, it was discussed the future of medicine, along the fusion of healthcare with technology and under the motto “What gets measured gets done”. Three elements are key now for envisaging artifacts, namely data, technology and design. Sensors, algorithms, big data, machine learning, nanotechnology, neurosciences, behavioral psychology and economics, are now adequate triggers for changing radically health and putting it under new tracks. All these topics are within the so-called Social Computation area where several disciplines come together to support aggressive applications for education, entertainment, business or healthcare. The goal is to build social systems, kind of artificial structures, designed and transformed by human action. In what concerns health, these systems may be very complex covering behaviors (predictions and explanations) and artifacts (e.g. for policies, methodologies for organization change, or transition management projects).\n\nThe aim is to boost efficiency in the services (monitoring vital signs remotely to detect impending problems) and, at the same time, to transform patient experiences with innovative tools capable to predict dis-functions before they happen (the data uploaded to distance servers where it is run through preprogrammed rules that flag up early signs of trouble). The idea is taking earlier decisions before things have actually gone wrong, and builds interventions we have never had the opportunity to consider before, tailored to a person´s profile. The vision of a connected and intelligent approach covers the ability to deal with illness, aging and fitness, by articulating detect with intervene and prevent.
Editor(s)
Maria Manuela Cruz-Cunha, Isabel Maria Miranda, Ricardo Martinho and Rui Rijo
Date of Publication
2016-05-02
Where published
Encyclopedia of E-Health and Telemedicine
Publication Identifiers
ISBN - 9781466699786,9781466699793
Publisher
IGI Global
Number of pages
15
Starting page
827
Last page
842
Document Identifiers
DOI -
https://doi.org/10.4018/978-1-4666-9978-6.ch064
URL -
http://dx.doi.org/10.4018/978-1-4666-9978-6.ch064
ISBN - 9781466699786
Keywords
Simulation
Medical Training
healthcare
simulators for healthcare
multi-agent simulator
Bayesian Network