Clinical%20Decision%20Support%20and%20Knowledge%20Management - PowerPoint PPT Presentation

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Clinical%20Decision%20Support%20and%20Knowledge%20Management

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Lecture demonstration, discussion, Web, and lab ... Bookmark the web site ASAP. Look at the cds_links.htm file - it is also part of the handout. ... – PowerPoint PPT presentation

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Title: Clinical%20Decision%20Support%20and%20Knowledge%20Management


1
Clinical Decision Support and Knowledge
Management
  • Staff
  • Alan Rector
  • email rector_at_cs.man.ac.uk or Alan.Rector_at_man.ac.u
    k
  • Format
  • Lecture demonstration, discussion, Web, and lab
  • 1-2 lecture-demo sessions per week interspersed
    with lab work
  • Assessment
  • Web searches and summary on a given topic 20
  • Continuous assessment lab projects 40
  • Exam 40
  • But you must pass the exam to pass the course!

2
Conferences
  • Conferences
  • MEDINFO 2004
  • -triennial
  • AMIA Fall Symposium (JAMIA)
  • MIE Medical Informatics Europe
  • AIME Artificial Intelligence in Medicine Europe
  • Journals
  • Journal of the American Medical Informatics
    Association (JAMIA)
  • Journal of Biomedical Computing (Computers in
    Biomedical Research)
  • Methods of information in Medicine
  • International Journal of Biomedical Computing
  • IEEE transactions on biomedical computing

3
Course Web Site
  • Much of the course will use material from the web
  • Part of your assessment will be to contribute to
    the web site
  • Course Web Sitewww.cs.man.ac.uk/rector/modules/c
    ds
  • (last years /cds-2003)
  • Medinfo Ontology Tutorialhttp//www.cs.man.ac.uk/
    rector/tutorials/medinfo
  • Bookmark the web site ASAP
  • Look at the cds_links.htm file - it is also part
    of the handout.

4
Texts
  • There just is no good single text
  • Readings to be distributed
  • Readings through web page
  • Handbook of Medical Informatics
  • See Web page Good General Sites and Books
  • Official texts both badly out of date!
  • Clinical Decision Support Systems Theory and
    Practice Ed Berner ES. Ball MJ1st Edition Jan
    1988, Springer Verlag ISBN0387985751
  • Additional textEvaluation Methods in Medical
    Informatics Friedman CP, ed Wyatt JC, 1st
    Edition Jan 1987, Springer Verlag
    ISBN0387942289

5
Assessment details
  • Web sites and review of a topic - Due Week 5 20
  • Mini-project and Paper - Due final day of course
    40
  • Something implemented in one of the tools
  • Ideal is End to end - not likely possible
  • Exam - 90 minutes written paper 40

6
Goals of Module
  • Understand the context of medical decision
    support, guidelines and protocols
  • Understand the difficulty of compiling protocols.
    (The task of gathering the evidence for
    protocols via systematic review requires a
    separate module.
  • Understand some of the difficulties in
    translating guidelines for human interpretation
    into computable form
  • Basic understanding of some of the technologies
    used
  • Basic understanding of the foundations required

7
Technologies Tools
  • Primary Technologies
  • Structured text guidelines - Gemcutter
  • New version expected in March currently
    sabotaged by Microsoft updates
  • Knowledge Representation and Ontologies
    Protégé-OWL
  • Rule based systems and Protocol Engines Tallis/
    ProForma / Protege
  • Belief Nets Hugin or Netica (http//www.norsys.c
    om/)
  • Object Oriented Design and UML - Universal
    Modelling Language - ArgoUML and HL7 RIM
  • Supplementary technologies
  • XML - the underlying syntax for just about
    everything these days
  • XML related technologies - at least to know their
    names XSLT, RDF, etc.
  • Best source is http//www.w3schools.com/ (not
    w3school (singular) which is a commercial
    squatter)

8
Fundamental Knowledge
  • Bayes theorem and utility theory
  • Enough to understand what makes good evidence and
    how evidence flows around a network
  • The difference between probability and expected
    utility
  • Elementary formal logic
  • Enough to understand the underlying connections
    between Knowledge Representation, Rules Based
    Systems and Object Oriented Modelling
  • Taught in half-hour a week mini-chunks plus
    problem sets

9
Plan for the Course
  • Week 2
  • Gemcutter (we hope)
  • Week 3-6
  • Knowledge Representation, Ontologies, Logic,
    Object Oriented Design, and UML
  • Weeks 7-8
  • Statistical Methods and Belief nets and Utility
  • Weeks 9-10
  • Formal Reasoning and ProForma (we hope)
  • Week 11
  • Review and catch up.

10
Feedback and Supplementary Material
  • Up to you really
  • Please email me suggestions to add to the course
    web site.
  • rector_at_cs.man.ac.uk
  • alan.rector_at_manchester.ac.uk
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