towards a personalizable health system for diabetes
DESCRIPTION
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.TRANSCRIPT
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: [email protected], 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
MedicalStaff
Patient
Database
RESTWEB INTERFACE
AndroidSmartphones
MonitoringAgents