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Austin chapter 9

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The physician as repository of knowledge. Not good enough: Too many errors ... Sounded when physician orders a drug that interacts badly with or duplicates ... – PowerPoint PPT presentation

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Title: Austin chapter 9


1
Austin chapter 9
  • HSPM J713

2
The Knowledge-Enabled Organization
  • Seeing the same ideas from different directions

3
Knowledge and the Quality of Care
  • The physician as repository of knowledge
  • Not good enough
  • Too many errors
  • More knowledge exists than one person can hold
  • Information overload

4
Knowledge and the Quality of Care
  • Organizational response
  • Sensemaking systems to help decision-makers find
    their way through information overload

5
Knowledge Management
  • Adapted idea from consulting firms (like the
    authors?)
  • Organization explicitly builds, renews, applies
    intellectual assets to organizational goals

6
The Knowledge-Enabled Healthcare Organization
  • Cant just provide more data
  • Sounds like an argument for active, rather than
    passive, CPOE.
  • Who are the decision-makers? Are there common
    design principles for Computerized Physician
    Order Entry and Executive Information Systems
    (EIS)

7
The Knowledge-Enabled Healthcare Organization
  • Baking-in knowledge into workflows
  • Reminders
  • Alerts
  • Evidence-based order sets
  • Click-through to relevant scientific literature

8
The Knowledge-Enabled Healthcare Organization
  • Analytics based on data warehousing and mining
  • Patient-safety dashboards
  • Real-time process and outcome reporting

9
Baked-in knowledge examples
  • Alert
  • Sounded when physician orders a drug that
    interacts badly with or duplicates another drug
    that the patient is taking (or supposed to be
    taking)
  • Reminder
  • Nurse reminded that its time to give a patient
    his or her meds

10
Baked-in knowledge examples
  • Evidence
  • Provider can read relevant scientific literature
  • Abstract from patient record and what doc is
    proposing
  • Search literature
  • Present choices
  • Order sets
  • Group drugs or treatments into sets that
    literature or practice says go together
  • Automatic billing as stuff is ordered

11
Data Warehouse
  • Flow chart symbols with arrows
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