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Our Approach
•  Personalization
!  Doctors can define medical guidelines for each
patient through a web interface
•  Scala...
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Towards a Personalizable Health System for Diabetes

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This paper introduces several extensions to the architecture of current state-of-the-art personal health systems, that aim at improving their adaptability to the user needs, their scalability, and their interoperability. These extensions are/will be applied to a real system for monitoring gestational diabetes.

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Towards a Personalizable Health System for Diabetes

  1. 1. Our Approach •  Personalization !  Doctors can define medical guidelines for each patient through a web interface •  Scalability !  Computations are moved from tier-3 to tier-2 !  Use of intelligent agents deployed in an Android smartphone to perform reasoning on patients data !  Reasoning is based on the medical guidelines defined by doctors •  Interoperability !  Use of RuleML for sending medical guidelines from tier-3 to tier-2 !  Use of HL7 CDA to report alerts from tier-3 to tier-2 Contact and more information: albert.brugues@hevs.ch, http://iig.hevs.ch/ Albert Brugués1,2, Stefano Bromuri1, Josep Pegueroles2, Michael Schumacher1 1University of Applied Sciences Western Switzerland (HES–SO), Sierre, Switzerland; 2Universitat Politècnica de Catalunya – BarcelonaTech (UPC), Barcelona, Spain Summary 1.  Our work introduces several extensions to the architecture of current state-of-the-art personal health systems 2.  The aim is to improve their adaptability to user needs, their scalability, and their interoperability 3.  These extensions are applied to a real system for monitoring gestational diabetes Introduction •  The paradigm of pervasive healthcare is based on the definition of Personal Healh Systems (PHSs) •  PHSs help on the management of chronic diseases, and are centered around the patient •  Typical PHSs usually have a 3-tier architecture •  We give a new point of view to the current PHSs Our Focus •  Gestational diabetes mellitus (GDM) •  Architecture of the system •  Patients use a smartphone for reporting health data related with GDM !  Physiological values !  Symptoms !  Medications •  Doctors use a web application to check patients’ conditions Conclusions •  We propose an architecture of a PHS that is adaptive, scalable and interoperable •  The expected benefits are: support more patients without reducing system’s performance, reduce communications over the network, allow doctors to personalize the system’s behavior according to patient’s needs Towards a Personalizable Health System for Diabetes Security Proxy Services Business Layer Data Access Layer Medical Staff Patient Database REST WEB INTERFACE Android Smartphones Monitoring Agents

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