Global scene and current research trends

Smart agents can be used in the area of automatic environmental quality assessment process


Flexible distributed agent systems have significant potential to improve workflow in healthcare organizations where failures of communication and co-ordination can be important sources of error. Research into using software agents for the healthcare is still at its infancy, some of the projected areas (Vazquez-Salceda et al, 2003 Xu et al, 2003 Godo et al, 2003 Vicari et al, 2003 Alsinet et al, 2003 ) where bots can play a major role are as follows:

  • Distributed patient scheduling within a hospital.
  • Communication and co-operation between intelligent agents to improve patient management
  • Agents that provide remote or elderly care delivery.
  • Multi-agent systems for patient monitoring and diagnosis.
  • Multi-agent systems that improve medical training or education (e.g. tutoring systems).
  • Medical agent-based decision support systems.
  • Information agents that retrieve, compile and organize appropriate medical knowledge sourced from the Internet.
  • Co-ordination between hospitals for managing organs for transplant.

Environmental monitoring

Smart agents can be used in the area of automatic environmental quality assessment process (Athanasiandis and Mitkas, 2004). They are projected to be used as environmental management and assessment systems. Some specific functions under environmental assessment are

  • Consolidating environmental information from diverse data sources
  • Managing environmental data for supporting decision making process in EIA
  • Post processing data and facts to be dispersed into public information systems and relevant stakeholders.


Kinny et al. (1996) describes a sophisticated agent-realized air traffic control system known as OASIS. In this system, which is undergoing field trials at Sydney airport in Australia, agents are used to represent both aircraf