Journal of Medical Systems

, 37:9989 | Cite as

SAMS – A Systems Architecture for Developing Intelligent Health Information Systems

  • Özgün Yılmaz
  • Rıza Cenk Erdur
  • Mustafa Türksever
Original Paper


In this paper, SAMS, a novel health information system architecture for developing intelligent health information systems is proposed and also some strategies for developing such systems are discussed. The systems fulfilling this architecture will be able to store electronic health records of the patients using OWL ontologies, share patient records among different hospitals and provide physicians expertise to assist them in making decisions. The system is intelligent because it is rule-based, makes use of rule-based reasoning and has the ability to learn and evolve itself. The learning capability is provided by extracting rules from previously given decisions by the physicians and then adding the extracted rules to the system. The proposed system is novel and original in all of these aspects. As a case study, a system is implemented conforming to SAMS architecture for use by dentists in the dental domain. The use of the developed system is described with a scenario. For evaluation, the developed dental information system will be used and tried by a group of dentists. The development of this system proves the applicability of SAMS architecture. By getting decision support from a system derived from this architecture, the cognitive gap between experienced and inexperienced physicians can be compensated. Thus, patient satisfaction can be achieved, inexperienced physicians are supported in decision making and the personnel can improve their knowledge. A physician can diagnose a case, which he/she has never diagnosed before, using this system. With the help of this system, it will be possible to store general domain knowledge in this system and the personnel’s need to medical guideline documents will be reduced.


Health information system Electronic health record Multi-agent system Decision support system Reasoning Ontology 



We would like to thank Dr. Gökhan Yılmaz and his colleagues from the Department of Prosthodontics, Faculty of Dentistry, Ege University.

Conflict of interest

The authors declare that they have no conflict of interest.


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Özgün Yılmaz
    • 1
  • Rıza Cenk Erdur
    • 1
  • Mustafa Türksever
    • 1
  1. 1.Department of Computer EngineeringEge UniversityBornovaTurkey

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