Team for Research in
Ubiquitous Secure Technology

A Model-Integrated, Guideline-Driven, Clinical Decision-Support System
Janos Laszlo Mathe

Citation
Janos Laszlo Mathe. "A Model-Integrated, Guideline-Driven, Clinical Decision-Support System". Talk or presentation, 11, November, 2010.

Abstract
In our earlier paper we have reported the use of a formal model-based development method for a guideline-driven patient management system, called Sepsis Treatment Enhanced through Electronic Protocolization (STEEP). During the last 8 months we have been engaged in the preparation and execution of a clinical trial at two Intensive Care Units of the Vanderbilt University Medical Center partially funded by NIH. The process required passing of the institutional HIPAA (privacy), security and quality review process and the integration of STEEP into Vanderbilt's clinical information systems including the EMR, Ordering, Medical Administration and Alert Management systems. The experience gave us a number of interesting conclusions that led us to enrich our science agenda on trustworthy health information systems. In this presentation we will summarize the experience gained with the clinical trial and will elaborate on the following two specific challenges: (1) Development of the Clinical Process Modeling Language (CPML) has been a significant effort. CPML integrates three kinds of knowledge: medical (sepsis), execution platform (STEEP engine) and privacy rules. Our primary conclusion is that for future problem domains (such as the cancer management we are currently analyzing) instead of applying CPML or developing new domain specific modeling languages from skretch we need to decompose the knowledge CPML into reusable sub-languages. These sub-languages will be representing essential aspects of the problem space: Medical Ontology, Execution Platform Semantics and Privacy Rules. Reusable model libraries built for these separate aspects will then be used to generate the integrated domain specific models. (2) Integration of STEEP into Vanderbilt's Health IT infrastructure has been a significant challenge. Reusability of the effort can be ensured by formally defining abstraction layers for each major components—including the relevant privacy rules—and integrate these layers into the system architecture as models.

Electronic downloads

Citation formats  
  • HTML
    Janos Laszlo Mathe. <a
    href="http://www.truststc.org/pubs/768.html"
    ><i>A Model-Integrated, Guideline-Driven, Clinical
    Decision-Support System</i></a>, Talk or
    presentation,  11, November, 2010.
  • Plain text
    Janos Laszlo Mathe. "A Model-Integrated,
    Guideline-Driven, Clinical Decision-Support System".
    Talk or presentation,  11, November, 2010.
  • BibTeX
    @presentation{Mathe10_ModelIntegratedGuidelineDrivenClinicalDecisionSupport,
        author = {Janos Laszlo Mathe},
        title = {A Model-Integrated, Guideline-Driven, Clinical
                  Decision-Support System},
        day = {11},
        month = {November},
        year = {2010},
        abstract = {In our earlier paper we have reported the use of a
                  formal model-based development method for a
                  guideline-driven patient management system, called
                  Sepsis Treatment Enhanced through Electronic
                  Protocolization (STEEP). During the last 8 months
                  we have been engaged in the preparation and
                  execution of a clinical trial at two Intensive
                  Care Units of the Vanderbilt University Medical
                  Center partially funded by NIH. The process
                  required passing of the institutional HIPAA
                  (privacy), security and quality review process and
                  the integration of STEEP into Vanderbilt's
                  clinical information systems including the EMR,
                  Ordering, Medical Administration and Alert
                  Management systems. The experience gave us a
                  number of interesting conclusions that led us to
                  enrich our science agenda on trustworthy health
                  information systems. In this presentation we will
                  summarize the experience gained with the clinical
                  trial and will elaborate on the following two
                  specific challenges: (1) Development of the
                  Clinical Process Modeling Language (CPML) has been
                  a significant effort. CPML integrates three kinds
                  of knowledge: medical (sepsis), execution platform
                  (STEEP engine) and privacy rules. Our primary
                  conclusion is that for future problem domains
                  (such as the cancer management we are currently
                  analyzing) instead of applying CPML or developing
                  new domain specific modeling languages from
                  skretch we need to decompose the knowledge CPML
                  into reusable sub-languages. These sub-languages
                  will be representing essential aspects of the
                  problem space: Medical Ontology, Execution
                  Platform Semantics and Privacy Rules. Reusable
                  model libraries built for these separate aspects
                  will then be used to generate the integrated
                  domain specific models. (2) Integration of STEEP
                  into Vanderbilt's Health IT infrastructure has
                  been a significant challenge. Reusability of the
                  effort can be ensured by formally defining
                  abstraction layers for each major
                  components—including the relevant privacy
                  rules—and integrate these layers into the system
                  architecture as models.},
        URL = {http://www.truststc.org/pubs/768.html}
    }
    

Posted by Larry Rohrbough on 7 Dec 2010.
Groups: trust
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