amia 2002 development evaluation final
TRANSCRIPT
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Nursing Terminology Summit2002 Report to AMIA 1
Development, Evaluation,
and Use of ReferenceTerminology for Nursing
Progress Reportfrom the NursingTerminology
Summit
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Todays Panel Overview of the Summit
The Big Picture: Key Concepts
Developing and Evaluating Models A Domain Concept Model for Findings
Models for Nursing Actions
A Model of the Nursing Process
From Models to Reference Terminology
From Reference Terminology to TerminologySystems
Advances in Commercial Systems
Terminology Systems in Clinical Applications
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Overview of the Summit
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The Nursing Terminology
Summit Annual meetings since 1999
Participants from 5 continents
Diverse expertise and work settings
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Summit Steering
Committee Judy Ozbolt, Chair
Ida Androwich
Suzanne Bakken
Patricia Button
Nicholas Hardiker
Charles Mead Judith Warren
Christine Zingo
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Summit Sponsors NLM
HRSA
AMA
AMIA*
Cerner*
HIMSS
IDX
3M
McKesson*
Siemens*
SNOMED*
*Sponsor in 2002
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Mission of the Nursing
Terminology Summit Promote and support
the development, evaluation, and use
of reference terminology for nursingand
the integration of reference nursingterminology with healthcareapplications and with other healthcareterminological systems
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The Summits Methods of
Work Annual meeting
Intervening collaboration
Think tank for resolving questions,coordinating, setting directions fordevelopment to be done elsewhere
Worldwide scope Expert authority (no formal
authority)
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The Summits Aims Coordinate efforts to develop and
integrate standards that involve formalnursing terminology
Promote collaboration
Disseminate knowledge gained
Take home understanding of how work
done in local setting fits into global effortsto develop, evaluate, integrate, and usereference terminology for nursing
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Collaborative Progress
since 1999 IMIA/ICN proposal to ISO in 2000 Integration of CEN work into ISO work in
2001 Integration of nursing concepts and
nursing leadership into HL7, LOINC Nursing terminology models submitted to
ISO committee in 2002; now a Draft
Standard Use of terminology models to guide
development of terminology in SNOMEDand elsewhere
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Development, Evaluation, and
Use of Reference Terminology:
The Big Picture
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Key Definitions
(ISO CD 17115) Domain Concept Model: set of formal
categories, semantic links, and sanctionsdescribing potential characteristics forrepresenting concepts in a domain
Reference Terminology Model:Domain concept model that is optimisedfor terminology management
Dissection: Systematic representation ofa phrase according to a predefineddomain concept model
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Building on the Models Terminology model: represents
concepts and definitional relationships
Reference terminology: populatesmodel with words representing instancesof concepts and relationships
Terminology system: software to
manipulate concepts and relationships Functions limited to processing terminology
Distinct from application systems with which itinteracts
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Development of Reference
Terminology for Nursing Goal:
Populate models with words representinginstances of the concepts.
Methods: Dissect terms from nursing classifications and
other vocabularies according to models tocreate formal representations.
Create controlled vocabularies from commonexpressions and dissect those expressions.
Integrate formal representations from manysources within standards developingorganizations.
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Evaluation of Reference
Terminology for Nursing Iterative and continual
Test and retest models, expressions,and conceptualizations
Must lead to coherent and growingbody of knowledge
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Potential Functions of a Reference
Terminology System Link interface expressions and statistical
classifications to their formal, referencedefinitions
Generate compositional expressions fromatomic concepts
Map between expressions in different
terminologies and their formalrepresentations in the referenceterminology
Compare and harmonize amongterminologies
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Developing and Evaluatingthe Models
Progress at theSummit,
1999-2002
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A Domain Concept Modelfor Findings:
Similarities andDifferences amongDiagnoses, Goals,
and Outcomes
Judith J. Warren
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Findings, Outcomes, and GoalsFindings(observation)
O1A O2A
Outcome O1A X O2A
Goal X OE
Goal
Variance
X OE-O2A
O=observation, X=intervention, A=actual, E=expected
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Conclusions Goal is no different from Finding in
the terminology model, but in the
information model Goal differs intiming and mood
Outcome is no different from Findingin the terminology model, but in the
information model Outcome has linksto the baseline value and to theIntervention
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Findings Reference
Terminology Model
Value
Method
Derivation
Dimension
Subject ofInformation Focus
Site
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Nursing Diagnosis Reference
Terminology Model
Dimension
Subject ofInformation Focus
Site
Judgment
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Terminology and
Information Models forNursing Actions:
The Use-CaseApproach toDevelopment and
Testing
Pat Button
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Summit Interventions Group Group has focused on nursing
interventions since initial Summit meetingin 1999.
In 2000, initiated focused work on theharmonization of emerging nursingterminology models with the RIM of HL7: Approach: testing the extent to which the RIM
supports the expression and communicationof nursing actions (interventions), from bothterminological and structural perspectives.
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Goal of the Intervention Team Ensure that the HL7 RIM
supports nursing terminology
and that it provides a foundationfor integrating nursingintervention concepts.
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Objectives Provide feedback to HL7 regarding
the ability of the RIM to:
Express nursing interventions (focus:education)
Express the full range of nursinginterventions in patient education
Express other nursing interventions andpotentially support other disciplinaryinterventions
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Approach Analyze a random selection of
interventions from existing
classification systems for fit withHL7 RIM
Selected Patient Education as
intervention for further action (e.g.use case development)
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Approach Created high level education Use Cases
(N=6)
Validated Education Use Cases based
on expert/group feedback Used Nine-Step Model (Russler, 2001)
to validate HL7-RIMs ability torepresent the intervention (instance
diagrams) Initiated submission process for
Education Use Cases at HL7 PatientCare Committee
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Assumptions Use cases for breast cancer education can
provide an adequately robust test case tounderstand the information model terminology
issues related to nursing interventions.
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Use Case 1 - DevelopEducation Plan
Sequence:1. A literature review is performed to collect current education research and best practices.
2. Research external requirements from organizations like JCAHO, HCFA, FDA, NCI, andlarge volume 3rd party payers.
3. Collect internal policies, requirements, and existing educational materials
4. Research patient education materials prepared by other organizations like the AmericanCancer Society, Oncology Nursing Society or 3rd party payers.
5. Gain agreement if standard terminology will be used.
6. Draft initial template for educational interventions. Include the intervention,method, responsibility, intensity, measurement criteria and an example of
expected outcome.7. Iterative review process with team members.
8. Evaluate compliance with standards.
9. Agreement on final educational plan
10. Link finalized education plan to problem list
11. Provide links from standard plan to education knowledge bases. The links should becontext specific.
12. Review and modify on a regular basis.
Pre conditions:
Breast cancer patients were chosen for the first education standard. An oncology education standards committee was formed
Members include Chief Oncologist, VP of nursing, VP of ancillary services, AdvancedPractice Nurses, Director of the Oncology clinic, manager of the oncology inpatient floor,Director of OR services, Manager of oncology homecare services, Clinical Pharmacists.
Post conditions:
Add to repository of education plans.
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Use Case 1 - Research to Define Best Plan
code
: Breast CancerEducation Plan
moodCode
:Definition
statusCode:New
activity_time
: Any
Procedure
value:Yes, include
in plan or No,
do not include
code
: LiteratureReview --
Oncology
Journal
moodCode
:EventstatusCode
:Completedactivity_time:Any
Evaluates
Reads:1) Literature review done to
collect current educationresearch & best practicesaround breast cancereducation.
2) Research externalrequirements: JCAHO,HCFA, FDA, NCI, &large volume 3rd partypayers.
3)Collect internal policies,requirements, & existingeducational materials
4) Research patienteducation materialsprepared by otherorganizations like theAmerican Cancer
Society, OncologyNursing Society or 3rdparty payers.
typeCode
:Target
Participation
codeCaregiver
Role
typeCode
:Author
Participation
code:Committee
Role
value:Yes, include
in plan or No,
do not include
code
:ExternalRequirements
Review
JCAHO
moodCode
:EventstatusCode
:Completedactivity_time:Any
Repeated for eachreview source forinclusion in theeducation planObservation Observation
code
:InternalPolicies
Review
Educational
Plans
moodCode
:EventstatusCode
:Completedactivity_time
:Any
Observation
value:Yes, include
in plan or No,
do not include
code
:OtherOrganization
Review
American
Cancer Society
moodCode
:EventstatusCode
:Completedactivity_time
:Any
Observation
value:Yes, include
in plan or No,
do not include
EvaluatesEvaluates
Evaluates
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Findings: Four Perspectives Methodology used
Implications for HL7 RIM
HL7 RIM implications for terminologymodeling and domain terminologies
General terminology implications
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Findings: Methodology Effective in helping the group evaluate ability of
the HL7 RIM to represent the data related tobreast cancer education
Modified instance diagrams were easy to learnand read
Required nursing domain knowledge, RIMunderstanding, and systems expertise
Reliable and reproducible process, except:
HL7 RIM itself has been a moving target
Evolving and complex HL7 RIM attributes andvocabulary
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Findings: HL7 RIM Implications forTerminology Modeling and
Domain Terminologies
Terminologies cannot be freestanding -must adhere to the rules of information
model structure Vocabularies are expressed within classes,
subclasses, and attributes
HL7 data types exist for each attribute
Data types are populated by publishedvocabularies and other value sets
HL7 reviews, approves, and registersvocabularies as candidates to populate theRIM
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Findings: HL7 RIM Implications forTerminology Modeling and
Domain Terminologies
Symmetry between definition and
execution Information model simply changes mood
Terminology structure must accommodatethe symmetry of the information model,
and should have a similar mood concept
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Findings:
Terminology Implications Intellectual content of existing
nursing terminologies is robust, but
structure not sufficient to meetinteroperability standards Terms for many of the concepts exist
In some instances terms are too general
Semantic and syntactic relationshipsbetween terms are not defined
Reinforces the Summit work to definereference terminology model for nursing
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Next Steps (1) Model other general categories of
nursing interventions (meta
interventions). Consider use of methodology for
nursing diagnoses and outcomes.
Develop a framework for howexisting nursing terminologies fitinto these models, and the HL7 RIM.
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Next Steps (2)
Determine what data are essential
to support the nursing process andto communicate with otherstakeholders in patient care
What data need to be collected andcommunicated
What level of granularity is appropriate
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An Information Model ofthe Nursing Process
William Goossen
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Purpose: To report on the work of the Summit
working group that dealt with the HL7 RIM model of the nursing
process and
templates for the Braden Scale for risk
of pressure ulcer.
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Nursing process model Find the appropriate classes in the RIM.
Clone the classes under new names torepresent relevant parts of the nursing
process. Relate the classes to one other.
Explain the information model of thenursing process.
Create a template for one aspect of thenursing process, a specific observation, that includes knowledge, terms, and
information and builds upon Harriss and Hellemans work.
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Nursing process model Ongoing work:
Corrected error in mixing process and
structure: making two separate models Activity Diagram of nursing process
Class Diagram of information used in thenursing process.
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Start care process
Set expected outcomes 1 - n
Make observation 1-n
Make meta-observation 1-n
More
observationsneeded?
Needfor
care?
Define activities 1 - n
Implement care 1- n
[Y]
[N]More(meta-)
observations
needed?
[Y]
[N]
[Y]
Define diagnoses 1- n
[Y]
[N]
End care process
Activity Diagram of nursing process
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Class model of the NursingProcess
outcomes:Observation
findings:Observation inferences:Observation
diagnosis:Observationgoal:Observation
planned_interventions:Procedure-Mood
implementation_of_care:Procedure
-MoodAssumed in model, but not
worked out.
Assumed in Modeland worked out.
clinical thinking relationshipleads to are based on
clinical judgementrelationship
gives as result
are determined fromgoal determination to solve
problem relationshipsuggests
tries to solveplan to reach the goals
relationshipgives focus to
tries to achievewhat is done and effects relationshiprequires
describes careare goals metrelationship
need to have description ofto be found in
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Issues
Can RIM be used to model process?
Specializations: add distinctive attributes More clarity on nursing process as
delivery mechanism and nursing processas documentation
Discuss relation with CEN 13606 Justify approach / consistency check /
validation
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From the Models toReference Terminology
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Representing Nursing
Concepts and Relationshipsin SNOMED CT
Deb Konicek
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SNOMED Convergent
Terminology Group for Nursing Composed of members having expertise in:
-terminology development
-creation and evaluation of terminologymodels for nursing concepts
-the dissection (modeling) of nursing terms
using a specific terminology model
SNOMED CT
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SNOMED CTNursing Integration Efforts
Committed to:
-utilizing existing nursing terminologies assource of nursing content
-actively participating in standards work
-striving for consistency with existing models
-evaluating the usefulness of proposed ISO
model for SNOMED CT integration of nursingdiagnostic, intervention,and goals/outcomesconcepts
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Findings Reference
Terminology Model
Value
Method
Dimension
Subject ofInformation Focus
Site
InterpretsSubject ofInformation
Finding Site Method & Scales
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Nursing Diagnosis Reference
Terminology ModelDimension
Subject ofInformation Focus
Site
JudgmentInterprets Has
interpretation
Finding site
Subject ofInformation
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ISO Nursing Diagnosis
ModelNANDA Ineffective Individual Coping
Has focus COPING Interprets:Ability to cope
Has judgment INEFFECTIVE (interpretation)
Has potentiality ACTUAL (context-qualifier)
Has subject of information INDIVIDUAL(soi)
Other components are not applicable
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ISO Nursing InterventionModel
Action
Site
Route
Using
Means
Target
Subject of care
Rootprocedure
Has focus
Recipient of care
Procedure Site
Approach
SNOMED CT N i
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SNOMED CT Nursing:Conclusion
Currently:
-the discussed links,attributes,componentsnecessary for modeling nursing diagnoses &interventions were proposed/accepted bySNOMED Editorial Board
-ISO model provides validation of these efforts
-ISO diagnoses & Vocabulary Summit findingmodels provide future direction for nursingoutcomes modeling initiatives
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From Reference
Terminology toTerminology Systems
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Reference Terminology and
the Next Generation ofSystems:
Advances at Cerner,McKesson, andSiemens
Pat Button
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Overall Industry
Sponsor Perspective Nursing Terminology Summit is:
Worthwhile, positive effort.
Providing significant impact withinindustry and standards organizations.
Valuable forum for networking andaddressing key issues that havechallenged industry for many years.
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McKesson: Horizon Clinicals Clinical reference terminology
strategy:
Reduce customer build times. Share common tools and core
knowledge sets.
Build knowledge-rich applications using
a solid foundation. Support communication within our
clinical product line.
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McKesson:Horizon Clinicals Clinical reference terminology
foundation:
SNOMED CT as a core referenceterminology
LOINC
Evaluation of nursing vocabularies for
inclusion: NANDA, NIC, NOC,International Classification of NursingPractice, etc.
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Siemens: Summit Impact Improved data representation for
nursing concepts through integration
of nursing terminology learnings intodatabase design, middle tierarchitecture, terminology models, &flexible end user interfaces.
Consolidation of existing nursingterminologies into a unifyingreference terminology model.
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Siemens: Summit Impact Engendered increased
understanding of strategic needs &
issues surrounding theimplementation of a broader clinicalterminology solution.
Leveraged opportunities to
communicate, educate, & promotethe work of the Terminology Summitin the healthcare market.
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Cerner Strategy Strategy:
Cerners Information ModelTM Controlled
medical terminology. Executable KnowledgeTM - Provision of
evidence based, executable knowledge that leveragesthe Information ModelTM architecture and structures.
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Cerner Information ModelTM
The Information ModelTM is structured in amanner that can house specificterminology sets and inter-relate them, as
well as provide the flexibility toaccommodate local extensions andpreferences for synonyms.
HLi is Cerners business partner. HLi
provides the meta database and modelingtools to enable Cerner to manage thirdparty terminologies, and Cerner clients tomanage their own nomenclature
extensions.
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Cerner Information ModelTM
Information ModelTM based on SNOMED
CT. Cerner & SNOMED International have
a close working relationship, including
being one of two parties in a pilot program
to test a new terms submissions and
request management process.
Nursing terminologies from a CMTperspective refers to a set of terminologies
for the nursing care process.
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CernerApproach:
Nursing Terminologies Key Points:
Cerner does not endorse any one or several of theANA recognized nursing languages.
Cerner will provide the infrastructure to support theuse of any of the ANA recognized nursinglanguages.
Cerners infrastructure, the Cerner InformationModel, is based on SNOMED CT and leverages themapping SNOMED has completed to various termsfrom the nursing languages.
Current focus: definition of model for all patientcare orders/interventions & outcomes, clinicaldiagnoses and problems to provide basis forintegration of SNOMED CT and definition of dataelements to use in order sets, pathways, plans ofcare.
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Direct Use of Formal
Terminology Systems inClinical Applications:
Difficulties andSolutions
Suzanne Bakkenand Nicholas Hardiker
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Aims (and assumptions) To consider the direct use of formal
terminology systems in clinical
applications Formal terminology systems can play
both a reference role AND an interfacerole
To expose difficulties and inform thedevelopment of solutionsPlug and play is not possible
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Difficulties Direct use is awkward
There is a conflict between the
characteristics of formal terminologysystems...
they must behave in a rigorouslypredictable way
and the needs of users they must be understandable, usable and
fit with routine practice
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Methods - Storyboarding A nurse assesses the nutritional
status of a patient in order to make
a diagnosis Any proposed application should
support this process while allowingthe nurse to document the
assessment, in line with routinepractice, via a formal terminologysystem
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Methods - Use case analysisA System
Present relevant
item for selection
Nurse
M h d S i
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Methods - Scenario
developmentThe application presents a list ofrelevant assessment topics,
including Nutritional assessmentThe application presents through adata entry form a number of
relevant sub-topics such as Mobilityetc
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Methods - PrototypingA system
Nutritional assessment
UnderweightAppearance
Mobility
Weight kg
Overweight
Mobile Immobile
Diagnosis Nutrition Nutrition
M th d A ti it
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Methods - Activity
diagramming
User Interface Dialogue Terminology
Select topicReturn topic Get relevant
item
Return relevant
item
Put relevant
item on form
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Key findings It is difficult to capture the pragmatics of
routine practice within formal terminologysystems
A dialogue sub-system is needed to managethe things traditionally embedded withininterface terminologies clinical knowledge
business rules
There will be a dependency between the userinterface, the dialogue sub-system and theformal terminology system - each will impactthe others
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Messages to Take Home Much has been done to develop and
integrate nursing terminology standards.
Much remains to be done. Evaluation and progress are iterative and
ongoing.
Draft standards and other insights are
already being used to develop tomorrowsapplications.
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Thank you! Questions or comments?