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Research in Nursing Informatics: Naming, Claiming,

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Standardized vocabularies are sufficiently robust to capture most terms needed ... UW-Madison colleagues: Rima Apple, Richard Staley, Barbara Bowers, Josette Jones ... – PowerPoint PPT presentation

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Title: Research in Nursing Informatics: Naming, Claiming,


1
Research in Nursing InformaticsNaming,Claiming,
ChangingHealth Outcomes
  • Patricia Flatley Brennan,RN, PhD, FAAN
  • University of Wisconsin-Madison
  • Supported by grants from the NIH and the
    UW-Madison Graduate School

School of Nursing University of Wisconsin-Madison
2
Nursing Informatics
Diagnosis treatment of human responses Health
Policy Genomics
Representation, Transformation, Manipulation
Application of Information
Semantics
Syntax
3
Knowledge building in health informatics
4
Health Policy Clinical Practice
Health Care
System Definition
System Evaluation
System Construction
System Validation
Informatics
System Description
5
25 Years of Progress In Nursing Informatics
Research
Clinical Practice
System Evaluation
System Definition
System Validation
System Construction
System Description
6
2001
ReferenceModels
Ontologies
Formal Languages
Vocabularies
Controlled Terms
Terms
1976
7
Health Care Vocabularies
  • Standardized vocabularies are sufficiently robust
    to capture most terms needed to describe the
    problems nurses treat ( 70--80)
  • Bakken (Henry), 1994

8
Nursing-Specific Terminologies
  • NANDA
  • NIC
  • NOC
  • HHCC
  • Omaha System
  • ICNP
  • NILT
  • Patient Care Data Set
  • AORN Data Set
  • Nursing terminologiesprovide a rich set of terms
    to represent nursing concepts
  • BUT
  • lack the grammars and syntax rules, and
    granularity, needed to support full
    computerizationHardiker, 1999

9
Genomic Data Mining
2001
Bayesian Belief Nets
Explanation
Clinical Practice
System Definition
System Evaluation
AI, Probability Models and certainty factors
System Construction
System Validation
1976
System Description
Decision Support for Diagnostics Therapeutics
10
Clinical Decision Support Supports!
  • Patients in a nursing home had fewer wetting
    events when nurses used UNIS to help plan care
  • Petrucci, 1993

11
Alerts Reminders
Clinical Information systems
Bringing knowledge to the point of care
12
Clinical Information Systems Help
  • Structured assessment and clinical guidelines,
    integrated in the clinical information system,
    facilitate compliance

13
Computer screens effect performance
  • Nurses using a graphical interface to manipulate
    order sets completed tasks faster, and with fewer
    errors, than when using text entry.
  • Staggers Kolbus, 2001

14
Home Telenursing Aids Recovery
  • Access to HeartCare helped patients recovering
    from CABG surgery to get better, faster.

15
Lessons Learned
16
Where nursing goes, nursing informatics follows
and sometimes leads!
17
Youve got to build it to use it
18
Sometimes a rose by any other name isnt
recognizable
19
Structured data entry helps
20
Decision support works behind the scene
21
Data security wins
22
Patients are Users, too
23
Genes are more than bits of people, andPeople
are more than bits of genes
24
We like to work together
25
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26
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27
How does Nursing Informatics Research differ
from other NURSING Researchendeavors?
28
Different Knowledge Products
  • Nursing Informatics Research
  • Focus on the structure and manipulation of the
    data
  • Provides manipulation tools specific to knowledge
  • Emphasizes system acceptability effect
  • Nursing Research
  • Focus on the substance of the discipline
  • Makes nursing phenomena explicit
  • Develops and tests clinical therapeutics

29
Vision for the Future
30
Health Policy Clinical Practice
Health Care
System Definition
System Evaluation
System Construction
System Validation
Informatics
System Description
31
Health Policy Clinical Practice
Nursing Science
CS
Health Care
System Definition
System Evaluation
System Construction
System Validation
Informatics
HSR
System Description
32
Visions for the future
  • Innovative care models with a balance of human
    and techological resources
  • Development of a full range of nursing practice
    tools
  • Linking genomic data to genetic information, and
    then to the patient record and placed in to the
    patients hand
  • Technical solutions to the challenges of privacy
    and security
  • Natural language and speech recognition
  • The problem lies in creating representation of
    the context within which the speech is produced
    and should be interpreted
  • Virtual Human -- genomic functions anatomy

33
Guidance for the Future
34
ask yourself if the step you contemplate is
going to be of any use to the poorest and
weakest man whom you have seenWill he gain
anything by it?Will it restore him to control
over his life and destiny?then you will find
your doubts and yourself melting away
  • Gandhi,1947

35
if we can call it nursing to set up the
emergency shelter after the dam has burst, isnt
is also nursing to lobby to be sure that the dam
never gets made in the first place?
  • Florence Storlie, 1971

36
Acknowledgements
  • The work of colleagues over the past 50 years
  • Conversations and debates with many including
  • AMIA colleagues Mark Musen, Gil Kuperman, Carol
    Friedman, Bonnie Kaplan, Charley Safran
  • UW-Madison colleagues Rima Apple, Richard
    Staley, Barbara Bowers, Josette Jones the
    Brennan research team
  • The Moehlman Bascom Professorship
  • NIH

37
http//healthinfo.engr.wisc.edu
  • pbrennan_at_engr.wisc.edu

38
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