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Information Integration to support Medication Management

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VA HSR&D Salt Lake. Informatics. Decision. Enhancement. And ... VA Salt Lake City GRECC. University of Utah. Acknowledgements. Charlene R. Weir, PhD ... – PowerPoint PPT presentation

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Title: Information Integration to support Medication Management


1
Information Integration to support Medication
Management
  • Jonathan R. Nebeker MS MD
  • VA Salt Lake City GRECC
  • University of Utah

2
Acknowledgements
  • Charlene R. Weir, PhD
  • Frank Drews, PhD
  • Molly Leecaster, PhD
  • Rand Rupper, MPH MD
  • Kenneth Boockvar, MD
  • Kevin Meldrum
  • Sandi Geary
  • Mike Lincoln, MD
  • Chris Nielson, MD PhD
  • Brittany Mallin, MS MPH
  • AHRQ R18 HS017186
  • VA Salt Lake City GRECC
  • VA Salt Lake City IDEAS Center

3
Overview
  • The Electronic Health Record context
  • Current
  • Future
  • How theory gets us to future
  • Theoretical Framework
  • Demonstration

4
Current CPRS VistA
  • Emphasis on access
  • Information siloed in tabs
  • Physician centric
  • Patient excluded
  • No interface for control

5
Future CPRS VistA
  • Emphasis on control
  • Information integrated
  • Supports all healthcare professionals and the
    patient

6
Progress
  • The Electronic Health Record context
  • Theoretical Framework
  • Joint Cognitive Systems or Cognitive Systems
    Engineering
  • Contextual Control Model
  • Demonstration

7
Cognitive System Engineering
  • Contextual Control Model (CoCoM)
  • Understanding/Sense making
  • Goal reconciliation
  • Feedback/Feed Forward Control
  • Sharp-end efficiency, resiliency
  • Assistive decision support

8
Decision Support v. Sense Making
  • Computerized decision support is typically
    normative and targets the right decision.
  • The CPRS of the future will emphasize an
    information-rich environment that targets sense
    making to support higher quality decisions in the
    highly variable context of patient care.

9
Contextual Control Model (CoCoM)
  • Performance in context
  • Different types of behaviors predict better
    outcomes
  • Functional not structural approach
  • Not about information processing models Memory,
    programs, etc.
  • Used in engineered systems
  • ABS at Saab
  • Nuclear Power Plants

10
Control Cycle in Healthcare
11
Control Modes
  • Scrambled
  • Lack of purposeful activity
  • Opportunistic
  • Addressing salient characteristics
  • Tactical
  • Following procedure, limited scope
  • Strategic
  • Broader scope and higher-level goals

12
Preliminary Conclusions
  • CoCoM translates well to chronic disease care.
  • High-mode characteristics have face validity for
    predicting better outcomes.
  • Implications for software design
  • Need to support efficient, rich reconstruction of
    mental model of patient
  • Need to highlight interaction of goals and
    therapies
  • Need to increase time horizon including feed
    forward

13
Demonstration
14
Example of Integrated Control
15
Building up to Understanding
16
Snapshot of condition
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22
Advantages of Contextual Control
  • Simplification of current systems
  • Medication reconciliation
  • Alerts
  • Allows for shared mental model of care plan by
    all professions and the patient
  • Provides natural coordination of care
  • Reduces errors?
  • Facilitate the relevance of nursing documentation

23
Summary
  • Theory-driven design (human factors)
  • Reintegrates patient and system
  • Patient-centric outcomes
  • Assistive decision support
  • Facilitates geriatric-style care
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