Project deliverable Open Access

Development of PHYSIO DSS component

Simona Panunzi; Andrea De Gaetano; Alessandro Borri; Jose Gato Luis; Razvan Onet; Razvan Gliga; Christodoulos Santorinaios

The objective of the present document is to provide the implementation details of the first version of the PHYSIO DSS (PHYSIOlogical evolution of the victim Decision Support System) component, dedicated, through a series of functions, algorithms and classes, to the description of the physiological evolution of victims of a real crisis event.
This deliverable is strictly connected to deliverable D4.4 (Design of the PHYSIO DSS component) and we invite the reader to refer to D4.4 for more details about the component.
After a brief description of the architecture of the PHYSIO DSS (section 1.2 Architecture of The PHYSIO DSS Component), summarizing the functionalities offered and the constituent elements of the architecture (list of the classes, functions and algorithms), the document addresses the methodology followed for the development. Section 2 describes the process set up for the implementation of each function (or algorithm) and provides the technical aspects of the component, the client-server architecture, the PHYSIO DSS WSDL document, the method to call the Web Service and the response method used by the server to reply.
Part of the document is dedicated to show the functionality of the component through a series of examples.
Section 2.3.3 shows an example of application of the architecture, with a remote call of a testing function: the Expected Time to Death service. The example shows a sequence of 6 call tests with only the last one calling the function correctly obtaining numerical results from the call, while tests 1 through 5, deliberately call the service with an incorrect format, returning a warning message from the server.
Section 3 shows an example of simulation of an event with the generation of victims with the associated lesions affecting their physiological dimensions. The simulated event is an earthquake of medium severity and the example provides, in a testing environment, the numerical results from the PHYSIO functions, showing the a-priori distributions of the physiological status of the victims, the impact of the health measurements from the field as well as the impact of the administration of the treatments with the corresponding resulting a-posteriori distribution. The last part of the document (subsection 3.4) reports an example of computation of the Expected Time To Death for three victims with different degrees of severity of the physiological conditions.

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