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NCVEI Benchmarking: Pilot Project Update

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Cecil Moore. Ralph Richardson. Coordinated by NCVEI: Howard Rubin, Jim Lloyd. Renee Knosby ... Level of satisfaction among referring veterinarians ... – PowerPoint PPT presentation

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Title: NCVEI Benchmarking: Pilot Project Update


1
NCVEI BenchmarkingPilot Project Update
James W. Lloyd, DVM, PhD Associate Dean College
of Veterinary Medicine Michigan State University
2
Why Benchmark?
  • Internal comparisons
  • Identify performance trends over time
  • External comparisons
  • Compare performance to similar operations

3
VTH Benchmarking Task Force
  • John Haven
  • David Lee
  • Dennis McCurnin
  • Cecil Moore
  • Ralph Richardson
  • Mimi Arighi
  • Jim Brawley
  • Roger Fingland
  • Gary Foltz
  • Ron Haffey
  • Renee Knosby

Coordinated by NCVEI Howard Rubin, Jim Lloyd
4
Benchmarking Challenges
  • Deciding what to measure
  • Establishing standard definitions
  • Who compiles the data?
  • AAVMC comparative data report?
  • Does everyone participate?
  • Reporting frequency?

5
Task Force Wish List
  • How productive is the VTH faculty?
  • How productive is the VTH by service areas (cost
    centers)?
  • Level of client satisfaction/complaints
  • Level of satisfaction among referring
    veterinarians
  • Ratio of students, interns and residents to
    caseload
  • Number of cases per service (impact on teaching
    level)

6
Task Force Wish List (cont.)
  • Number of cases per FTE
  • Service lag time
  • Accounts receivable (pro-bono impact and
    programs)
  • Variable compensation for faculty and staff
  • Staff turnover
  • State support and other revenue generators

7
Suggested Starting Data Points
  • Gross revenue
  • Case load
  • State support
  • FTE faculty
  • House officers
  • FTE staff
  • Staff expense
  • Direct costs (drugs, medical supplies)
  • Accounts receivable
  • Staff turnover

8
Data Entry and Reporting
  • NCVEI website demonstration
  • http//ncvei.org

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Next Steps
  • Conference call(s) next week
  • Revisions as appropriate
  • Enter more data
  • More schools
  • Service-level
  • Using the data suggestions?

28
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