chapter 12 decision rules and expressions
Download
Skip this Video
Download Presentation
Chapter 12. DECISION RULES AND EXPRESSIONS

Loading in 2 Seconds...

play fullscreen
1 / 14

Chapter 12. DECISION RULES AND EXPRESSIONS - PowerPoint PPT Presentation


  • 75 Views
  • Uploaded on

Chapter 12. DECISION RULES AND EXPRESSIONS. 12.1 Introduction. Decision rules often are represented in one of two formats Procedures Production rules. 12.2 PROCEDURAL KNOWLEDGE. Two key features characterize this representation

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Chapter 12. DECISION RULES AND EXPRESSIONS' - lincoln-hatcher


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
12 1 introduction
12.1 Introduction
  • Decision rules often are represented in one of two formats
    • Procedures
    • Production rules
12 2 procedural knowledge
12.2 PROCEDURAL KNOWLEDGE
  • Two key features characterize this representation
    • Clinical knowledge and inferencing or control knowledge are mixed in the same representation
    • The flow of control is made explicit
slide4
FIGURE 12-1 Decision rule represented as a decision tree. The decision rule helps determine the diagnosis in a case of a patient with a sore throat based on physical examination findings.
slide5
Flaws
    • The mixture of control and clinical knowledge
      • Makes it difficult to acquire and to maintain the knowledge
      • Subsequent edits of the clinical knowledge may inadvertently alter the control structures embedded in the same statements
  • To avoid these challenges, many CDS systems employ an architecture that separates control knowledge from clinical knowledge.
12 3 knowledge as production rules
12.3 KNOWLEDGE AS PRODUCTION RULES
  • IF THEN

FIGURE 12-2 Decision rule represented as production rules. This collection of production rules represents the same knowledge as the decision tree in Figure 12-1. Each rule associates a Boolean condition that evaluates to true or false with an action (in this case, a diagnosis). The terms “erythema,”“pus,” and “adenopathy” are Boolean variables that evaluate to true or false based on data available to the CDSS.

slide7
The operation of a production rule CDS system consists of repeated cycles of
    • Match
    • Select
    • Execute
    • Applying
    • The knowledge base against data available to the CDS system in order to reach a desired conclusion
slide8
Inferencingmechanisms
    • Forward chaining
      • There is a large amount of data relative to the possible conclusions to be drawn from those data
      • If the CDS system is triggered or driven by the arrival of new data
    • Backward chaining
      • If the CDS system is used to critique a selection such as a treatment or a diagnosis made by a clinician
slide9
The key advantage of a production-rule CDS system over a procedural representation
    • The representation of knowledge is independent of the control knowledge needed to operate the CDS system and manage the inferencing process
12 5 expression languages
12.5 EXPRESSION LANGUAGES
  • To allow the knowledge engineer to build up statements that query data, logically manipulate them, provide for reasoning over them
  • GELLO (Sordo 2004)
    • A standard of the Object Management Group (OMG), and can be used with any object-oriented data mode
    • Can be used with the standard HL7 RIM to extract data from clinical repositories and to manipulate those data
slide12
FIGURE 12-5 Example of GELLO encoding a simple guideline. This guideline rep resents the same knowledge contained in the Arden Syntax MLM in Figure 12-4. Because GELLO was created to extract data from clinical repositories, to manipulate those data and to reason over them, it does not have an explicit syntax for sending messages to clinicians. The CELLO code would he embedded in complete guideline representation or other application for use by the CDSS.
12 6 future work
12.6 FUTURE WORK
  • Demand for computer-based CDS will grow
    • Increasing emphasis on patient safety and prevention of medical errors
    • Increasing use of electronic health records
    • Clinical practice guidelines -> CDS systems
  • Emphasis on interoperability of clinical information systems
    • Standard for representing decision rules in general
    • Clinical practice guidelines in particular in a computable format
12 7 conclusion
12.7 CONCLUSION
  • A decision rule is a representation of deterministic reasoning
  • Represent a decision rule in a computable format
    • The sequential execution and explicit flow of control of a procedure
    • The inferencing mechanism and other control processes is the production rule
  • HL7 standard Arden Syntax
  • GELLO is HL7 standard expression language
ad