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SAHIB - Enhancing multi-institutional health data availability through multi-agent systems

  • Main research unit: CINTESIS, FMUP
  • Principal Investigator:  Este endereço de email está protegido contra piratas. Necessita ativar o JavaScript para o visualizar.
  • Team:
    • Researchers
      • João Almeida Lopes Fonseca
      • Altamiro Manuel Rodrigues da Costa Pereira
      • Ana Margarida Leite de Almeida Ferreira
      • Pedro Manuel Vieira Marques
      • Jeremy Crispin Wyatt
      • Sandra Filipa Canário de Almeida
      • Sergi Robles
      • Dr John McGrory
      • Paulo Roberto da Silva Ferreira
    • Fellows
      • José Hilário Patriarca de Almeida
  • Start date: 22.03.2010   | End date: 21.03.2013
  • Financing: € 87,107.00 (FCT)

Project description:

The main goal of this project is to contribute for the improvement of health data availability at the point of care.

In fact, one of the challenges facing healthcare organizations is giving all healthcare professionals complete, transparent and real-time access to patient information. However patients tend to make visit multiple health institutions (e.g. hospitals, health centers or private clinics) during their lifetime leaving a trail of scattered information. This scenario makes integration of healthcare Information Systems (IS) essential to support shared care of multi-institutional patients (MIP) using health services at local, regional and international levels. Nevertheless consistently combining data from such heterogeneous sources takes a great deal of effort because each institutional IS usually differ in several aspects, such as data models, terminology and semantics, functionalities and data presentation. Furthermore, the different actors in healthcare make up a complex society where information is exchanged in different formats (digital, paper, oral) aiming at delivering quality healthcare while maintaining patient privacy and satisfying legal requirements. In this context, agent-oriented modeling may provide a straightforward approach to system design, including components definition and system interaction. Heterogeneous environment may impose various requirements on the design, which can me handled by different types of agent models. The use of multi-agent technologies already allowed the successful integration of a large amount of heterogeneous clinical data.

The question to be investigated in this project is how to build applications that find, retrieve and deliver patient information to the point-of-care in a secure and timely fashion, event though it is distributed across multiple healthcare institutions, whilst safeguarding the different agendas and constraints of the different actors. In a regional or nation wide scale scenario where a multitude of IS coexist there is still currently a lack of supporting architectures that can provide an efficient way for clinical data finding and retrieving making it available at the point-of-care.

The methods of this project includes the (1) characterization of main actors, their data needs and data flows; (2) the creation of an agents model that may assist the previously studied healthcare actors; the definition and implementation the agent functions, namely: (3) activation, (4) search, (5) communication with other systems, (6) information transport and (7) security; and (8) evaluating a prototype.

  • Project  at FCT - (PTDC/EIA-EIA/105352/2008)
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