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PRODUCTIVITY METRICS USED IN HOSPITAL FUNDING AGREEMENTS

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MEDICAL ONCOLOGY Hired a consultant to survey the National Comprehensive ... Cited several facility/equipment issues that would need to be addressed. ... – PowerPoint PPT presentation

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Title: PRODUCTIVITY METRICS USED IN HOSPITAL FUNDING AGREEMENTS


1
PRODUCTIVITY METRICS USED IN HOSPITAL FUNDING
AGREEMENTS
2006 ACE Annual MeetingLas Vegas, NevadaSunday,
February 19, 2006 Speaker Anthony J. Trimarchi
2
What is a Hospital Funding Agreement?
  • Business decision that requires hospital funding
    of a physician practice (or department) to
    advance organizational goals.
  • Examples Include
  • recruitment start-up funding
  • joint ventures
  • deficit funding of mission critical programs

3
Examples Used
  • MEDICAL ONCOLOGY - 2002
  • projected clinical growth
  • perceived physician access issues
  • clinical integration
  • existing deficit
  • RADIATION ONCOLOGY - 2005
  • strategic planning
  • physician retention
  • equipment/capital needs assessment
  • program location

4
Why Review Physician Productivity?
  • Most valuable resource
  • Accountability to business enterprise
  • Recruitment decisions
  • Identification of other factors
  • inefficiencies
  • staffing

5
Physician Buy-In
  • CLINICAL PRODUCTIVITY REVIEW COMMITTEE -comprised
    of physician leadership, administrator and
    project staff
  • review current productivity levels individual
    and aggregate WRVUs (from billing system)
  • determine national standards for similar
    practices as a benchmark
  • develop WRVU based goals/targets that support
    financial and service needs

6
Clinical Full Time Equivalents
  • HOW DO PHYSICIANS SPEND THEIR TIME?
  • Clinical
  • Teaching
  • Research
  • Administrative
  • Other
  • IDENTIFY UNFUNDED/UNDER FUNDED WORK
  • Negotiate funding or change behavior
  • CLINICAL FTES
  • Interview physicians
  • Drill down clinical schedules
  • Based on time available for clinic, not funding
    sources

7
CFTE Example
8
Benchmark Selection
In both cases, it was believed that industry
benchmarks (MGMA, UHC, SROA) fell short of the
needs of the organization
  • MEDICAL ONCOLOGY review committee recognized
    the lack of comparable data as an early obstacle.
  • RADIATION ONCOLOGY required a better fit with
    similar institutions than the industry surveys
    provided due to low survey participation.

9
Solution
  • MEDICAL ONCOLOGY Hired a consultant to survey
    the National Comprehensive Cancer Network (NCCN)
    centers. Conducted site visits to 2 comparable
    cancer centers to observe operational and
    staffing efficiencies.
  • RADIATION ONCOLOGY Designed a survey (modeled
    after the 2003 SROA tool) with participation from
    4 similar organizations. Survey questions
    covered
  • specialized services
  • staffing and operational structure
  • equipment
  • patient/treatment volumes

10
Radiation Oncology PhysicianProductivity
Benchmarks
Median Academic Practice Work Relative Value
Units Per Clinical FTE Physician
  • MGMA 8,239
  • UHC 9,011
  • UW Survey 8,089
  • UW Performance 9,436

11
Other Radiation OncologyBenchmark Examples
  • Medical physicists per accelerator
  • Number of patients per nursing FTE
  • Tx plans per dosimetrist
  • Beam treatments per therapist
  • Support staff per CFTE physician
  • Annual Tx requiring anesthesia
  • Annual seed implants
  • HDR Tx by sub-specialty
  • Levels of hospital support

12
Radiation Oncology Results
  • PHYSICIANS
  • Set physician productivity benchmark at 8,089
    WRVUs per CFTE.
  • Validated the need to recruit additional
    physicians.
  • Built benchmarks into funding agreement.
  • Used benchmarks to determine future recruitment
    needs.
  • OTHER
  • Validated that physicist, dosimetrist, nursing
    and support staffing levels were acceptable at
    current productivity levels when compared to
    comparable institutions.
  • Cited several facility/equipment issues that
    would need to be addressed.

13
Example Radiation Oncology Recruitment Agreement
14
Medical Oncology
  • 2002 MGMA Median 2,854
  • 2002 NCCN Median 3,251
  • UW Performance Level 2,825

15
Benchmark Selection Criteria
  • Recognition that a legitimate funding gap
    existed.
  • Benchmark performance would be expected in order
    to justify future support.
  • Would take into consideration the significant
    research and teaching effort of faculty.
  • Group vs. individual performance measure.
  • Benchmark would become a component of incentive
    program.

16
Individual Benchmarks Basedon Percentage
Research and Teaching (RT)
  • Adopted NCCN median as benchmark, and established
  • goals that reflect research and teaching effort
    as follows
  • LOW 35 RT 2,167 Goal
  • MODERATE 45 RT 1,799 Goal
  • HIGH 55 RT 1,439 Goal

17
Funding Agreement Principles
  • WRVU Goal Met 100 Shortfall Funding
  • salary metrics (AAMC)
  • department overhead rate cap
  • WRVU Goal Not Met
  • funding up to level had goal been met
  • imputed revenue based on historic collections per
    WRVU
  • remainder of shortfall shared
  • 2/3 hospitals
  • 1/3 department

18
Example Medical Oncology Funding Agreement
19
Medical Oncology Results
  • Validated assumptions regarding physician
    shortages and initiated recruitment activity.
  • Set baseline WRVU targets that took into
    consideration research productivity.
  • Utilized aggregate measures to establish
    financial support agreements.
  • Established systems to enhance internal data
    collection needed to track productivity
    accurately.
  • Regular reporting to faculty on performance.
  • Adopted several clinic operational improvement
    and staffing strategies.

20
Lessons Learned
  • Physician buy-in essential
  • Industry benchmarks not perfect
  • Get creative with benchmarks
  • incentive plans
  • staffing levels
  • funding agreements
  • other

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