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Richard N. Shiffman, MD, MCIS George Michel, MS Abdelwaheb Essaihi, MD Theodore W. Marcy, MD, MPH...

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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 Using a Guideline-Centered Approach for the Design of a Clinical Decision Support System to Promote Smoking Cessation
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Page 1: Richard N. Shiffman, MD, MCIS George Michel, MS Abdelwaheb Essaihi, MD Theodore W. Marcy, MD, MPH Yale Center for Medical informatics University of Vermont.

Richard N. Shiffman, MD, MCISGeorge Michel, MS

Abdelwaheb Essaihi, MDTheodore W. Marcy, MD, MPHYale Center for Medical informatics

University of Vermont College of Medicine

Richard N. Shiffman, MD, MCISGeorge Michel, MS

Abdelwaheb Essaihi, MDTheodore W. Marcy, MD, MPHYale Center for Medical informatics

University of Vermont College of Medicine

Using a Guideline-Centered Approach for the Design of a

Clinical Decision Support System to Promote Smoking Cessation

Using a Guideline-Centered Approach for the Design of a

Clinical Decision Support System to Promote Smoking Cessation

Page 2: Richard N. Shiffman, MD, MCIS George Michel, MS Abdelwaheb Essaihi, MD Theodore W. Marcy, MD, MPH Yale Center for Medical informatics University of Vermont.

• 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

• 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

Knowledge Acquisition from Guidelines:

What’s the Problem?

Knowledge Acquisition from Guidelines:

What’s the Problem?

Page 3: Richard N. Shiffman, MD, MCIS George Michel, MS Abdelwaheb Essaihi, MD Theodore W. Marcy, MD, MPH Yale Center for Medical informatics University of Vermont.

• 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

• 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

Representation of Guideline Knowledge for Decision Support

Representation of Guideline Knowledge for Decision Support

Patel VL.JAMIA 1998Patel VL.JAMIA 1998

Page 4: Richard N. Shiffman, MD, MCIS George Michel, MS Abdelwaheb Essaihi, MD Theodore W. Marcy, MD, MPH Yale Center for Medical informatics University of Vermont.

Guideline Implementation GapGuideline Implementation Gap

Black BoxBlack BoxPublished GuidelinePublished Guideline

Computer-Based Guideline Implementation

Computer-Based Guideline Implementation

Page 5: Richard N. Shiffman, MD, MCIS George Michel, MS Abdelwaheb Essaihi, MD Theodore W. Marcy, MD, MPH Yale Center for Medical informatics University of Vermont.

• Articulate a systematic, explicit, and transparent process for translating GL knowledge into DS tools

• GEM Overview

• Handheld, wireless DSS (under construction) for smoking cessation

• Articulate a systematic, explicit, and transparent process for translating GL knowledge into DS tools

• GEM Overview

• Handheld, wireless DSS (under construction) for smoking cessation

Goal (Intention) of This WorkOverview of Presentation

Goal (Intention) of This WorkOverview of Presentation

Page 6: Richard N. Shiffman, MD, MCIS George Michel, MS Abdelwaheb Essaihi, MD Theodore W. Marcy, MD, MPH Yale Center for Medical informatics University of Vermont.

• Preservation of authenticity of knowledge

• Audit of local adaptation (knowledge modifications)

• Diminished variability of DSS designs

• Preservation of authenticity of knowledge

• Audit of local adaptation (knowledge modifications)

• Diminished variability of DSS designs

Advantages of Document-Centered DSS Design

Advantages of Document-Centered DSS Design

Page 7: Richard N. Shiffman, MD, MCIS George Michel, MS Abdelwaheb Essaihi, MD Theodore W. Marcy, MD, MPH Yale Center for Medical informatics University of Vermont.

GEMGEM

• XML

• Hierarchy of > 100 elements

• Models heterogeneous information

• Has been used successfully for:

Guideline quality appraisal (GEM-Q)

Feedback to developers (Extractor)

Partial generation of MLMs (GEM-Arden)

Creating database of NGC guidelines

• DTD adopted as standard by ASTM (E2210-02)

Page 8: Richard N. Shiffman, MD, MCIS George Michel, MS Abdelwaheb Essaihi, MD Theodore W. Marcy, MD, MPH Yale Center for Medical informatics University of Vermont.

TitleTitle

CitationCitation

Release DateRelease Date

AvailabilityAvailability

ContactContactStatusStatus

Companion DocumentCompanion Document

AdaptationAdaptation

Developer NameDeveloper Name

Committee NameCommittee Name

FundingFunding

EndorserEndorserComparable GuidelineComparable Guideline

Health PracticesHealth Practices

CategoryCategory

Target PopulationTarget Population

RationaleRationale

ObjectiveObjective

Available OptionsAvailable Options

Implementation StrategyImplementation Strategy

Health OutcomesHealth Outcomes

ExceptionsExceptions

Care SettingCare Setting

Clinician UsersClinician Users

Evidence CollectionEvidence Collection

Evidence Time PeriodEvidence Time Period

Evidence GradingEvidence Grading

Combining EvidenceCombining EvidenceSpecification of Harm/BenefitSpecification of Harm/Benefit

Quantification of Harm/BenefitQuantification of Harm/Benefit

Value JudgmentValue Judgment

Patient PreferencePatient Preference

Qualifying StatementQualifying Statement

Cost AnalysisCost Analysis

RecommendationRecommendationConditional (decision variable) Conditional (decision variable) . .

Action Action . .

Logic Logic . .

Reason Reason . .

Strength of Recommendation Strength of Recommendation . .

Evidence Quality Evidence Quality . . . . . .Cost Cost . .

Certainty Certainty . .

AlgorithmAlgorithm

EligibilityEligibility

DefinitionDefinition

External ReviewExternal Review

Pilot TestingPilot Testing

Expiration DateExpiration Date

Scheduled ReviewScheduled Review

DeveloperDeveloper

PurposePurpose

MethodMethod

KnowledgeKnowledge

AudienceAudience

IdentityIdentity

TestingTestingRevisionRevision

Health InformaticsSvcs

Health InformaticsSvcs

Element Sources

GEMGEM

Page 9: Richard N. Shiffman, MD, MCIS George Michel, MS Abdelwaheb Essaihi, MD Theodore W. Marcy, MD, MPH Yale Center for Medical informatics University of Vermont.

GEM: Top LevelsGEM: Top Levels

GuidelineGuideline

IdentityIdentityPurposePurpose

Intended Audience

Intended Audience

Method ofDevelopment

Method ofDevelopment

KnowledgeComponents

KnowledgeComponents

TestingTesting RevisionPlan

RevisionPlan

TargetPopulation

TargetPopulation

DocumentHeader

DocumentHeader

DocumentBody

DocumentBody

DeveloperDeveloper

Page 10: Richard N. Shiffman, MD, MCIS George Michel, MS Abdelwaheb Essaihi, MD Theodore W. Marcy, MD, MPH Yale Center for Medical informatics University of Vermont.

KnowledgeComponents

KnowledgeComponents

DefinitionDefinition

TermTerm

TermMeaning

TermMeaning

Knowledge ComponentsKnowledge Components

RecommendationRecommendation

ConditionalConditional ImperativeImperative

AlgorithmAlgorithm

SyncStep

SyncStep

ActionStep

ActionStep

Condit’lStep

Condit’lStep

BranchStep

BranchStep

Page 11: Richard N. Shiffman, MD, MCIS George Michel, MS Abdelwaheb Essaihi, MD Theodore W. Marcy, MD, MPH Yale Center for Medical informatics University of Vermont.

ConditionalConditional

FlexbltyFlexbltyReasonReason Evid

Quality

Evid

QualityRecmdn

Strength

Recmdn

StrengthLogicLogic CostCost LinkLink RefRef CertaintyCertainty

Action

Benefit

Action

Benefit

ActionRi

sk

Harm

ActionRi

sk

Harm

Action

Descripn

Action

DescripnAction

Cost

Action

CostValueValue Dec Variable

Descripn

Dec Variable

DescripnTest

Param

Test

Param

Dec

Var

Cost

Dec

Var

Cost

SensitivitySensitivity SpecificitySpecificity Predictive

Value

Predictive

Value

KnowledgeComponents

KnowledgeComponents

RecommendationRecommendation

ConditionalConditional

Dec

Var

Dec

VarActionAction

Page 12: Richard N. Shiffman, MD, MCIS George Michel, MS Abdelwaheb Essaihi, MD Theodore W. Marcy, MD, MPH Yale Center for Medical informatics University of Vermont.

GEM CutterGEM Cutter

Page 13: Richard N. Shiffman, MD, MCIS George Michel, MS Abdelwaheb Essaihi, MD Theodore W. Marcy, MD, MPH Yale Center for Medical informatics University of Vermont.

• Each GEM element has

• a unique identifier attribute

• a source attribute:

• default value is “explicit”

• changes to “inferred” if content is modified

• Each GEM element has

• a unique identifier attribute

• a source attribute:

• default value is “explicit”

• changes to “inferred” if content is modified

Maintaining Links to Guideline TextMaintaining Links to Guideline Text

Page 14: Richard N. Shiffman, MD, MCIS George Michel, MS Abdelwaheb Essaihi, MD Theodore W. Marcy, MD, MPH Yale Center for Medical informatics University of Vermont.

GEM PolishingGEM Polishing

• Select (GL & Rec)• Semantic

Refinement (Markup) Atomize De-abstract Disambiguate Verify completeness Build executables

• Select (GL & Rec)• Semantic

Refinement (Markup) Atomize De-abstract Disambiguate Verify completeness Build executables

Workflow Integration

• Origins and insertions

• Define action types

• Assoc’d beneficial services

• Develop requirement spec

Encode, design interface

Test

Workflow Integration

• Origins and insertions

• Define action types

• Assoc’d beneficial services

• Develop requirement spec

Encode, design interface

Test

Page 15: Richard N. Shiffman, MD, MCIS George Michel, MS Abdelwaheb Essaihi, MD Theodore W. Marcy, MD, MPH Yale Center for Medical informatics University of Vermont.

• 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

• 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

Smoking CessationSmoking Cessation

Page 16: Richard N. Shiffman, MD, MCIS George Michel, MS Abdelwaheb Essaihi, MD Theodore W. Marcy, MD, MPH Yale Center for Medical informatics University of Vermont.

MarkupMarkup

• 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.

• 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.

Page 17: Richard N. Shiffman, MD, MCIS George Michel, MS Abdelwaheb Essaihi, MD Theodore W. Marcy, MD, MPH Yale Center for Medical informatics University of Vermont.

• 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

• 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

Semantic RefinementSemantic Refinement

Page 18: Richard N. Shiffman, MD, MCIS George Michel, MS Abdelwaheb Essaihi, MD Theodore W. Marcy, MD, MPH Yale Center for Medical informatics University of Vermont.

Extractor -> Decision Variables, Extractor -> Decision Variables,

Tobacco useCurrent, quit recently, abstinent for an extended period, never

used

Age Adolescent, adult

Pregnant Y/N/0

Breastfeeding Y/N/0

Hx of depression Y/N/0

Cardiovascular disease

Y/N/0

Concern about weight gain

Y/N/0

Hx of seizures Y/N/0

Page 19: Richard N. Shiffman, MD, MCIS George Michel, MS Abdelwaheb Essaihi, MD Theodore W. Marcy, MD, MPH Yale Center for Medical informatics University of Vermont.

• Identify origins of DVs, insertions of actions

• Define action type

• Describe associated beneficial services

• Identify origins of DVs, insertions of actions

• Define action type

• Describe associated beneficial services

Workflow IntegrationWorkflow Integration

Page 20: Richard N. Shiffman, MD, MCIS George Michel, MS Abdelwaheb Essaihi, MD Theodore W. Marcy, MD, MPH Yale Center for Medical informatics University of Vermont.

Guideline Action Classifier (N=405)Guideline Action Classifier (N=405)

MonitorMonitor

TestTest

GatherGather InterpretInterpret PerformPerform DisposeDispose

ActionAction

ConcludeConclude PrescribePrescribe

EducateEducate

DocumentDocument

ProcedureProcedure

ConsultConsult

AdvocateAdvocate

PreparePrepare

Page 21: Richard N. Shiffman, MD, MCIS George Michel, MS Abdelwaheb Essaihi, MD Theodore W. Marcy, MD, MPH Yale Center for Medical informatics University of Vermont.

System for Delivering AdviceSystem for Delivering Advice

Page 22: Richard N. Shiffman, MD, MCIS George Michel, MS Abdelwaheb Essaihi, MD Theodore W. Marcy, MD, MPH Yale Center for Medical informatics University of Vermont.

• 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

• 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

ConclusionConclusion

[email protected]://ycmi.med.yale.edu/GEM

[email protected]://ycmi.med.yale.edu/GEM


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