Presenters 2 Proprietary and Confidential Peter Angerhofer Peter is a principal at Colburn Hill Group he brings experience in operations strategy and health policy to both daily operations as well as longterm vision ID: 706267
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Denials Management
April 2017Slide2
Presenters2
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Peter
Angerhofer
Peter
is a principal at Colburn Hill Group; he brings experience in operations, strategy and health policy to both daily operations as well as long-term vision.
Jeff MeansJeff is a principal with Colburn Hill Group, and works in product development as well as operational consulting. He has designed, supervised the development and launch of several successful technologies. Slide3
What we will coverIdentify the common problems faced by efforts to improve Denials Management
Provide Key Metrics and Benchmarks
Review Best Practice Denials Management processes
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IntroductionDenials represent the largest category of avoidable financial leakage for most health systems (2% - 6% of NPSR)
There are countless tools, vendors, and programs available … yet the problem persists
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At best, most Denials programs keep lost revenue from increasing when they should be driving steady improvements over timeSlide5
Common Problems with Denials ManagementDenials come in many shapes and sizes
The goal posts keep moving
Most analytical tools are inadequate
Most Denials programs are under-resourced
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This presentation suggests a structured approach to solving the problemSlide6
Key MetricsInitial Denials
Denials Write Offs
Denials in Active Accounts Receivable
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These metrics need to be considered holistically and in context of one another. Systems to track performance at this level can be costly, but are essential to driving systematic improvements.Slide7
Initial DenialsDefinition: Remittances from payers that indicate lack of payment for service(s) – usually in the form of an ERA (835) or paper remittance advice
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PROs
Timely feedback
Process
focus
CONs
Difficult to calculate
Payer anomaliesSlide8
Initial Denials – Example Scorecard8
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Ensure common definition of denial categories
Summarize in a format that enables benchmarking
Aggregate enough history to show relevant trendsSlide9
Write Off AdjustmentsDefinition: Amount ($) adjusted to transaction codes mapped to “denials” on the general ledger
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PROs
Measure of actual loss
Financial focusCONs
Variable use of codesSignificantly lagging indicatorSlide10
Denial Write Offs – Example Scorecard10
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Measures how current the write offs are
Compare the trend in Amount written off and Age for contextSlide11
Active AR with DenialsDefinition: Amount ($) of Active AR that has been initially denied
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PROs
Indicator of future risk
Financial
focus
CONs
Difficult to measure
Requires workflow systemSlide12
Denial Write Offs – Example Scorecard12
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Critical Age Group for Follow Up
Most “At Risk” Age GroupSlide13
Key Elements of an Effective ProgramOrganizational Commitment
Cross-Functional Team
Dual Approach
Denials Recovery
Denials Prevention
Measurement SystemDisciplined Project Management Process
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Organizational CommitmentOrganization-wide goals around reducing inefficiencies and leakage from Denials
Communication across administrative and clinical chains of command
Realistic expectation of time and resources required to make improvements
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Health system leaders should include regular denials management updates in their organizational updates / financial performance communicationsSlide15
Cross-Functional TeamRepresentation Across Revenue Cycle Areas:
Patient Access
Patient Accounts
HIM / Coding
Revenue Integrity
Case Management / Utilization ReviewPhysician AdvisorClinical Denials Appeals Lead15
- Proprietary and Confidential -Most persistent and difficult denials issues require teamwork across departments to fully understand and drive sustained changed performanceSlide16
Dual ApproachEffective Insurance Follow Up Processes in Patient Accounts
Dedicated / Skilled Clinical Appeal Team
Escalation Process
KPIs:
Recovery Rate
Denials in ARTurn-around Time
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Process Engineers
Dedicated time and resources to perform process improvement initiatives
Cross-functional collaboration
KPIs:
Initial Denials
Process Metrics
Denials PreventionSlide17
Denials Prevention Process17
Systematically measure performance to highlight problem areas
Drill-to-detail to understand specific upstream defects
Rewrite processes to reduce defects before they happen
Implement changes in the organization
Measurement & Data Analysis
Process Engineering & Change Control
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Denial Prevention ExampleProblem: No Auth
denials in Radiology due to Authorized Procedure is not the same as the Billed Procedure
Root Cause: Radiology technicians read an order differently than financial clearance agents
Solution:
Develop common understanding of orders
Regular reviews between radiology and financial clearanceFeedback to most affected physicians
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Denials Team Meeting AgendaMetrics ReviewReview of Follow Up Actions from Previous MeetingUpdates from Functional AreasRetrospective Case Reviews
Summarize New Follow Up Actions
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Conclusion
The problem of Denials is common, across systems of all sizes and specialties, and there are a number of approaches to dealing with Denials. A Denials Management program needs to start by:
Quantifying your current performance level;
Estimating the value of achieving benchmark performance; and
Prioritizing your opportunity areas.
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For more information on Denials
Please visit the Business Intelligence (BI) Denials Management Demonstration Portal available for your use at
http://www.colburnhill.com/demo-bi.html
For additional information, feel free contact CHG at
info@colburnhill.com
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