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The Oncology Practice of Tomorrow: Optimizing Operating Efficiency

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Title: The Oncology Practice of Tomorrow: Optimizing Operating Efficiency


1
The Oncology Practice of TomorrowOptimizing
Operating Efficiency
  • Barry Fortner, PhD
  • Christian Baldwin
  • John Ogle

2
How will Oncology PracticesRespond To
  • increasing patient populations?
  • decreasing available MD and RN time?
  • declining oncology reimbursement?
  • Analyses of many of todays practices show
    potential of hidden expenses, revenue leakages
    and lost opportunities when instituting more
    frequent chemotherapy regimens
  • All points lead to the importance of
  • PRACTICE EFFICIENCY

3
Why is Efficiency Important?
  • Efficiency allows an oncology practice to
  • Maintain current revenue despite declining
    reimbursement
  • Increase revenue by increasing capacity without
    capital outlay
  • Maximize net revenue from increased capacity
  • Enhance patient convenience and quality of life

4
What Should You Do Now?
  • Know your practice revenue and costs
  • Develop a reference table of chair/nurse time by
    treatment/procedure
  • Analyze time and motion by procedure
  • Identify scenarios that perpetuate high cost
    lower revenue
  • Low revenue service visits (i.e., EM visits,
    administration fees)
  • Identify and eliminate activities that promote
    non-revenue generating service visits (e.g.,
    proactive use of anti-nausea agents and growth
    factors)
  • Consider scenarios that maximize revenue
    efficiency and create opportunity
  • Stacking up tests and procedures during single
    patient visits
  • Synchronizing growth factors with chemotherapy
    visits

5
Getting Started
  • Cost model and key analytic concepts
  • Regimen selection informed by efficiency
  • The patient as a resource
  • Operating efficiencies

6
Operations Building Blocks
Encounters
Scenario
Encounters
7
Practice Efficiency
  • Productivity Factor
  • The resource unit considered to be the key
    rate-limiting factor for the production of
    revenue
  • Total human resources, chemotherapy-related human
    resources, chemotherapy nurse time, chemotherapy
    chair time and physician time are all examples of
    potential productivity factors
  • Resource Expenditure
  • The amount of productivity factor (e.g., MD time,
    RN time, chair time) expended

8
Revenue Productivity Rate(RPR)
  • Revenue Productivity Rate
  • The amount of net revenue gained per unit of
    resource expenditure

RPR Net Revenue ? Resource Expenditure
9
Practice Efficiency
  • Opportunity Cost
  • The lost potential net revenue when a decision is
    made to perform a task which has less revenue
    potential per unit of resource expenditure

E F F I C I E N C Y
E F F I C I E N C Y
N E T R E V E N U E / R E C O U R S E U N I T
C A PA C I T Y
10
Practice Efficiency
  • Relative Opportunity Quotient (ROQ)
  • A multiplier that can be used to equate 2
    treatment options in terms of resource
    expenditure
  • ROQ Adjusted Net Revenue (ROQ-ANR)
  • Calculation of potential net revenue gained when
    one treatment option is equated with an
    alternative option in terms of resource
    expenditure

ROQ Resource Expenditure A ? Resource
Expenditure B
ROQ-ANR ROQ x Net Revenue
11
Practice Efficiency
  • Opportunity Cost
  • The lost potential net revenue when a decision is
    made to perform a task which has less revenue
    potential per unit of resource expenditure

Opportunity Cost ROQ-ANR of Option B Net
Revenue of Option A
12
Getting Started
  • Cost model and key analytic concepts
  • Regimen selection informed by efficiency
  • The patient as a resource
  • Operating efficiencies

13
Factors Impacting Chemotherapy Regimen Decision
Drug Toxicities
Patient Quality of Life
Gross DRUG Reimbursement
Gross SERVICE Reimbursement
Decision
Opportunity Costs
Human Resource costs
Practice Efficiency
14
Erythropoietin Event
(Fortner et al, 2004. MASCC Data from 20
practice sites)
15
Erythropoietin Encounter
(Fortner et al, 2004. MASCC Data from 20
practice sites)
16
HR Time and Cost Per Encounter
(Fortner et al, 2004. Community Oncology Data
from 20 practice sites)
17
Neutropenia Management Costs
1 Assumes 5.2 days of outpatient IV antibiotics
for the national sample 2 Assumes 4.7 days of
hospitalization for the national sample 3 Assumes
6 days of filgrastim for the national sample
(Fortner et al, 2004. Community Oncology Data
from 20 practice sites)
18
Case Study
19
Revenue-Productivity Rate (RPR)
Difference in productivity rate
Difference in absolute net revenue
Consideration of RPR leads to a different
conclusion when evaluating the advantages of
21-day dosing vs. weekly dosing. The higher RPR
in the 21-day regimen indicates a higher
net-revenue potential per patient.
20
Revenue Opportunity Quotient (ROQ)
ROQ Resource Expenditure Weekly ? Resource
Expenditure 21-day 7.5 hours ? 2.6 hours
2.88
The higher the ROQ, the higher the practice
productivity rate for a 21-day regimen
21
Opportunity Cost
Opportunity Cost ROQ-ANR for 21-day -
ROQ-ANR for Weekly 1,307 - 735
572
The higher the positive opportunity cost, the
greater the advantage of 21-day therapy. A
practice, therefore, must consider its capacity
for seeing more patients.
22
Getting Started
  • Cost model and key analytic concepts
  • Regimen selection informed by efficiency
  • The patient as a resource
  • Operating efficiencies

23
Power of the Patient
  • Patient-centric information system at the
    point-of care
  • Collects information directly from patients
  • Delivers information directly to patients
  • Generates clinical symptom and QoL data
  • Can integrate with a variety of clinical
    information sources

24
Leveraging Patient Tools
  • Cancer / Patient Care Monitor TM
  • Pre-visit patient interview tool
  • Collects demographic and symptom data
  • Provides a complete review of systems
  • Cancer Support Network TM
  • Patient education system
  • Provides patients with medical information
  • Integrated with their care

25
Cancer / Patient Care Monitor
26
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27
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28
Cancer / Patient Care Monitor
  • Complete review of systems
  • Oncologist and nurse (chemo visit)
  • E and M coding
  • Symptom G codes
  • QoL an ongoing clinical indicator
  • Versus point-in-time research measure
  • Link symptoms to information
  • Integrated with other clinical data and systems
  • Generates unique clinical information

29
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30
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31
Getting Started
  • Cost model and key analytic concepts
  • Regimen selection informed by efficiency
  • The patient as a resource
  • Operating efficiencies

32
The West Clinics Simulation
  • Simulate
  • All Processes
  • Resources
  • Schedules and Costing Information
  • Create a dynamic software tool from the diagram
  • Project Implementation
  • Working WITH Focus Groups to arrive at the best
    solutions
  • Analyzing the system, data, and the output to
    form recommended improvements

33
The West Clinic Uses Modeling To
  • Experiment with treatment schedules and treatment
    resource assignmentswhich combinations are
    optimal?
  • Help determine
  • What is the best scheduling solution for The West
    Clinic?
  • What is the best way to handle the patient
    volume?
  • Optimize human resource assignments
  • What is the best way to assign clinical staff
    during peak times of the day?
  • How many of each staff should we have during each
    time of the day?

34
The Model is Also Used to Study
  • Pharmacy
  • Phlebotomy
  • Parking
  • Wait Times
  • Staff analysis (utilization and labor costs)
  • Physician Standardization
  • Resource Utilization
  • Patient Satisfaction
  • Research
  • Education
  • Phone Call Routing
  • Medical Records
  • Lab
  • Radiology
  • Improving Research Accruals

35
Flow Diagram
36
Engineering Process Diagram
  • Development of comprehensive flow chart
    representing
  • Patient flow
  • Paperwork/chart flow
  • High level analysis of process inefficiencies and
    bottlenecks
  • Understanding of process inter-relationships

37
1st Floor Chemo Process
38
Physician Areas
39
Chemotherapy Utilization and Phlebotomy
  • Phlebotomy time (with vitals taken) 8 minutes
    11 seconds
  • Phlebotomy time (without vitals) 6 minutes 15
    seconds
  • Bottom Line Result Reduction of 1 FTE
  • High First Floor Utilization
  • Low Second Floor Chair Utilization
  • Lab is a bottleneck for chemo treatment areas

Average Utilization
40
Scheduling and Acuity Levels
  • Easy Testing Platform
  • How much staff is needed
  • What level of staff is needed
  • What is the best way to group them
  • How should the acuity level and treatment length
    be entered and scheduled for optimal utilization,
    patient quality, and cost
  • Construction is planned how can we prepare for
    the new flow?

41
Where Should You Start?
  • Examine Your Goals and Objectives
  • Start with an Operations Analysis and Process
    Diagram
  • Initiate Simulation Model
  • Become Involved for Immediate Benefit and Results
  • Plan for Success with Efficiency

42
Optimizing OperatingEfficiency - Examples
  • Optimizing Spending
  • Vendor relationships
  • Reduced pricing even a reduction of 1 helps
  • Target areas medical supplies, office supplies
  • Vendor contracts
  • Volumes, payment terms, discounts
  • Consider hiring a purchasing manager
  • Centralized processes increase efficiencies of
    others
  • Can negotiate better pricing

43
Efficient Processes
  • Regimen Analysis
  • Capacity Analysis
  • Staffing Analysis
  • Scheduling Methodologies
  • Identifying Opportunity Cost

44
Staffing Considerations
  • Processes
  • Moving 2 minutes per patient from phlebotomy
    resulted in saving the time of 1 FTE (31,907)
  • Do More With Less
  • Do not fill vacancies
  • Get more from your existing employees
  • Bonus for meeting goals
  • Transcription, under XXX minutes
  • Business office, one day behind on charges and
    all money posted within 24 hours

45
Results at The West Clinic
46
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47
Ancillary Providers
  • Internal Medicine
  • Treat common complaints
  • Round at the hospital
  • 7,790 additional net income per medical
    oncologist
  • Nurse Practitioner
  • Treat common complaints
  • Lower end visits (level 2 and 3)
  • 26,387 additional net income per medical
    oncologists
  • Hospitalist
  • Round at hospital

48
Result Increased Productivity
49
Increased Productivity Increased Capacity
Increased Profitability
50
Is an In-house Lab Efficient and Profitable?
  • COA survey showed the average clinic with an
    in-house lab lost 3.66
  • Many practices refuse to do this in house because
    it is not profitable
  • Or Is It?

51
Benefits of In-house Lab
  • Better Patient Care
  • Physician can have the results the same day and
    address issues immediately
  • More efficient to make decisions (e.g., change in
    treatment plans) on the same day than to bring
    the patient back another day or call the patient
    at home
  • Both options require using a resource when you
    would not have used it if you had an in-house lab
  • Nurse time
  • Physician time
  • Appointment slot

52
Brief Thoughts on Scheduling
  • Schedule chairs
  • Schedule consults at the end of the day
  • Chemo patients can get to the chairs sooner,
    resulting in better capacity utilization
  • Reduced wait time
  • Physician can spend more time with patient
  • Higher quality patient care

53
Practice Efficiency Conclusions
  • Human Resources (HR) costs of treatments related
    to medical visits and neutropenia are substantial
  • Becoming more efficient may be a means for a
    practice to
  • Maintain current revenue despite declining
    reimbursement
  • Increase revenue by increasing the practices
    capacity without capital outlay
  • Maximize net revenue from that increased capacity

Bottom line . . . A complete financial analysis
must consider NOT ONLY gross revenue, but also
costs, opportunity and capacity. A key
opportunity in todays reimbursement environment
is to emphasize PRACTICE EFFICIENCY.
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