• DocumentCode
    1787981
  • Title

    Formal reliability analysis of a typical FHIR standard based e-Health system using PRISM

  • Author

    Pervez, Usman ; Hasan, Osman ; Latif, Khalid ; Tahar, Sofiene ; Gawanmeh, Amjad ; Hamdi, Mohamed Salah

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Nat. Univ. of Sci. & Technol., Islamabad, Pakistan
  • fYear
    2014
  • fDate
    15-18 Oct. 2014
  • Firstpage
    43
  • Lastpage
    48
  • Abstract
    Fast Health Interoperable Resources (FHIR) is the recently proposed standard from HL7. Its distinguishing features include the user friendly implementation, support of built-in terminologies and for widely-used web standards. Given the safety-critical nature of FHIR, the rigorous analysis of e-health systems using the FHIR is a dire need since they are prone to failures. As a first step towards this direction, we propose to use probabilistic model checking, i.e., a formal probabilistic analysis approach, to assess the reliability of a typical e-health system used in hospitals based on the FHIR standard. In particular, we use the PRISM model checker to analyze the Markov Decision Process (MDP) and Continuous Time Markov Chain (CTMC) models to assess the failure probabilities of the overall system.
  • Keywords
    Markov processes; formal verification; health care; medical computing; open systems; probability; software reliability; CTMC model; FHIR standard; MDP; Markov decision process; PRISM; continuous time Markov chain; e-health system; failure probability assessment; fast health interoperable resources; formal reliability analysis; model checking; Analytical models; Markov processes; Medical services; Probabilistic logic; Probability; Reliability; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    e-Health Networking, Applications and Services (Healthcom), 2014 IEEE 16th International Conference on
  • Conference_Location
    Natal
  • Type

    conf

  • DOI
    10.1109/HealthCom.2014.7001811
  • Filename
    7001811