Abstract
A healthcare organization to be tuned with the users expectations, and to act according to its goals, must be accountable for the quality, cost, and overall care of the beneficiaries. In this paper we describe a model of clinical information designed to make health information systems properly interoperable and safely computable, based on an Evolutionary Intelligence approach that generates quantified scenarios from defective knowledge. The model is a response to a number of requirements, ranging from the semantic ones to the evaluation of software performance at runtime; it is among the biggest challenges in engineering nowadays.
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Miranda, M., Machado, J., Abelha, A., Neves, J., Neves, J. (2011). Evolutionary Intelligence in Agent Modeling and Interoperability. In: Novais, P., Preuveneers, D., Corchado, J.M. (eds) Ambient Intelligence - Software and Applications. Advances in Intelligent and Soft Computing, vol 92. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19937-0_33
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DOI: https://doi.org/10.1007/978-3-642-19937-0_33
Publisher Name: Springer, Berlin, Heidelberg
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