Notes
Outline
Using a Guideline-Centered Approach for the Design of a
Clinical Decision Support System
to Promote Smoking Cessation
Richard N. Shiffman, MD, MCIS
George Michel, MS
Abdelwaheb Essaihi, MD
Theodore W. Marcy, MD, MPH
Yale Center for Medical informatics
University of Vermont College of Medicine
Knowledge Acquisition from Guidelines:
What’s the Problem?
Ambiguity; guideline terms often lack explicit definitions
Incomplete specification
Additional knowledge is always necessary to create a decision support tool
Creation of DSS KB risks error
Local adaptation (necessary) risks preservation of habit, self interest
Knowledge maintenance is a largely unaddressed but critical issue
Representation of Guideline Knowledge for Decision Support
Members of the InterMed Collaboratory encoded  representations of guidelines for vaccination and workup of breast masses
Tested with patient scenarios
Different recommendations were given for the same patient
Guideline Implementation Gap
Goal (Intention) of This Work
Overview of Presentation
Articulate a systematic, explicit, and transparent process for translating GL knowledge into DS tools
GEM Overview
Handheld, wireless DSS (under construction) for smoking cessation
Advantages of Document-Centered DSS Design
Preservation of authenticity of knowledge
Audit of local adaptation (knowledge modifications)
Diminished variability of DSS designs
GEM
Element Sources
GEM: Top Levels
Knowledge Components
Conditional
GEM Cutter
Maintaining Links to Guideline Text
Each GEM element has
a unique identifier attribute
a source attribute:
default value is “explicit”
changes to “inferred” if content is modified
GEM Polishing
Select (GL & Rec)
Semantic Refinement
(Markup)
Atomize
De-abstract
Disambiguate
Verify completeness
Build executables
Smoking Cessation
Cigarette smoking is most common cause of preventable death in the US
Cessation can dramatically reduce risk of cancer and other diseases
Smokers are more likely to quit if physicians counsel them
Physicians infrequently counsel
-->USPHS Guideline
Markup
Bupropion SR should be used during pregnancy only if the increased likelihood of smoking abstinence, with its potential benefits, outweighs the risk of bupropion SR treatment and potential concomitant smoking.
Semantic Refinement
Atomize: “Bupoprion should be used”                               ->   Prescribe bupoprion
Deabstract: “potential benefits outweigh the risks”
Benefits:  avoid smoking-induced stillbirths, spontaneous abortions, decreased fetal growth, premature births, low birth weight, placental abruption, sudden infant death syndrome (SIDS), cleft palates and cleft lips, and childhood cancers. and infant respiratory disease
 Risks:  unknown + seizures in 1:1000;  may be ineffective
Extractor -> Decision Variables,
Workflow Integration
Identify origins of DVs, insertions of actions
Define action type
Describe associated beneficial services
Guideline Action Classifier (N=405)
System for Delivering Advice
Conclusion
Bridging the gap between guideline text and valid, useful decision support tools is complex
Extraction of DVs and actions from contextual narrative facilitates clarification
Document-centered approach helps maintain authenticity of knowledge