Role of Semantic Web Technologies in Managing Knowledge Change and Provenance - PowerPoint PPT Presentation

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Role of Semantic Web Technologies in Managing Knowledge Change and Provenance

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1Clinical Informatics R&D, Partners Healthcare System. 2 Cerebra, Inc. ... Structured Clinical Documentation in HealthCare. Example ... – PowerPoint PPT presentation

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Title: Role of Semantic Web Technologies in Managing Knowledge Change and Provenance


1
Role of Semantic Web Technologies in Managing
Knowledge Change and Provenance
  • Vipul Kashyap1, Alfredo Morales2
  • vkashyap1_at_partners.org alfredo.morales_at_cerebra.c
    om
  • 1Clinical Informatics RD, Partners Healthcare
    System
  • 2 Cerebra, Inc.
  • HCLSIG Face to Face Meeting, Cambridge MA
  • January 25, 2006

2
Outline
  • Some definitions
  • The Business Problem
  • Structured Clinical Documentation in HealthCare
  • Example
  • Semantics-based approach for Clinical
    Documentation
  • Dependency Propagation and Management
  • Conclusions

3
What does it mean to manage Knowledge Change and
Provenance
  • There is a close interrelationship between
    knowledge change and provenance
  • What has changed? Change
  • Why did it change? Provenance
  • Did someone change it? Provenance
  • Did its components change? Change
  • Who changed it? Provenance
  • Significance
  • Rapid Knowledge Discovery and Evolution in
    Healthcare and Life Sciences

4
The Business Problem
  • Difficulty of identifying targeted templates for
    particular conditions and diseases
  • Inflexibility for documenting unforeseen findings
  • Lack of consistency and maintenance of
    documentation templates as clinical knowledge and
    content evolves over time.
  • Inefficiency, complexity and slow pace of
    navigating through user interfaces
  • leads to decreased overall efficiency for
    generating complex documents

5
Example
6
Example Instrument
  • 1. Do you know if there any contraindications to
    fibric acid for this patient?
  • __ Yes
  • __ No
  • 2. Does this patient suffer from gallstones?
  • __ Yes
  • __ No
  • What is the AST Value for this patient?
  • ______ mg/ml?
  • 4. Which of the following range of values does
    the AST values for this patient apply to?
  • _ lt 10
  • _ 10,20
  • _ 20,40
  • 5. Are the liver panel values more than the
    normal values for this patient?
  • __ Yes

7
Documentation Ontology
  • A Data Collection Item
  • consists of
  • - A domain (Patient)
  • - A question
  • - An attribute (has_contraindication_to)
  • - A value
  • A Data Collection Item can
  • depend on the results of
  • other data collection items

8
Domain Ontology
Suppose AST values change from 0 ? AST ? 40 to
20 ? AST ? 40
9
Bridge Composition Ontology
10
Knowledge Change and Provenance
  • At each stage, Knowledge Engineer gets notified
    of
  • What has changed?
  • The definition of Fibric Acid Contraindication
  • Why did it change?
  • Fibric Acid Contraindication ? Patient with
    Abnormal Liver Panel ? Abnormal Liver Panel ?
    Abnormal AST ? Change in AST Values
  • Who was responsible for the change?
  • Knowledge Engineer who entered the changed AST
    values?
  • Change in a Clinical Guideline?

11
The Value Proposition of Semantics
  • Managing change and provenance is a very
    difficult problem
  • Semantics can play a crucial role in it
  • A reasoner can navigate a semantic model of
    knowledge and propagate change
  • One can declaratively change the model at any
    time
  • The reasoner will compute the new changes!
  • Configuration v/s coding. Could lead to huge
    ROI!
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