title: Accessing Patient Information for Probabilistic Patient Models Using Existing Standards.
abstract: Clinical decision support systems (CDSS) are developed to facilitate physicians' decision making, particularly for complex, oncological diseases. Access to relevant patient specific information from electronic health records (EHR) is limited to the structure and transmission formats in the respective hospital information system. We propose a system-architecture for a standardized access to patient specific information for a CDSS for laryngeal cancer. Following the idea of a CDSS using Bayesian Networks, we developed an architecture concept applying clinical standards. We recommend the application of Arden Syntax for the definition and processing of needed medical knowledge and clinical information, as well as the use of HL7 FHIR to identify the relevant data elements in an EHR to increase the interoperability the CDSS.
authors.affiliation: Innovation Center Computer Assisted Surgery, University Leipzig, Leipzig, Germany.
authors.forename: Jan
authors.initials: J
authors.lastname: Gaebel
authors.affiliation: Innovation Center Computer Assisted Surgery, University Leipzig, Leipzig, Germany.
authors.forename: Mario A
authors.initials: MA
authors.lastname: Cypko
authors.affiliation: International Foundation for Computer Assisted Radiology and Surgery, Küssaberg, Germany.
authors.forename: Heinz U
authors.initials: HU
authors.lastname: Lemke
mesh_terms: D001499:Bayes Theorem; D057225:Data Mining; D020000:Decision Support Systems, Clinical / Q000458:organization & administration / Q000706:statistics & numerical data*; D057286:Electronic Health Records / Q000458:organization & administration / Q000592:standards*; D006751:Hospital Information Systems / Q000458:organization & administration / Q000592:standards; D006801:Humans; D015233:Models, Statistical; D018511:Systems Integration