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💰 Healthcare

VP of Revenue Cycle Rhonda

Financial Operations Leader
Healthcare revenue cycle executive fighting a daily war against claim denials, coding errors, and payer complexity. Buys technology when it has a clear, measurable impact on net revenue.
ROI-driven buyerDenial management expertPayer contract negotiatorMetrics obsessed
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  • Full buyer brief (all sections below)
  • Demographics & psychographics
  • Buying triggers & objections
  • Channel preferences & timeline
  • Messaging tips for sales teams
3-9 months
Deal Cycle
HFMA events / Peer referrals
Channel
Claim denials + coding accuracy
Pain Point
ROI-first, data-driven
Decision Style
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Demographics

Title VP of Revenue Cycle / Director of Revenue Cycle Management
Location Distributed across US in major health system markets
Age Range 38-55
Education BS in Business, Finance, or Health Administration; CRCR certification common
Reports To CFO or COO
Company Size 200-5,000 employees
Income Range $150K-$280K total comp
Industry Segment Hospitals, health systems, large specialty groups, ambulatory surgery centers
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Psychographics

Values
Revenue integrityDenial prevention over denial recoveryCoding accuracy and complianceOperational efficiency
Motivations
  • Reducing initial claim denial rate below 5%
  • Accelerating days in accounts receivable (DAR) below 40 days
  • Improving clean claim rate and first-pass resolution
  • Demonstrating direct revenue impact to CFO to justify budget
Frustrations
  • Payer rule changes that invalidate prior authorization workflows overnight
  • Coding tools that promise accuracy but require constant manual override
  • Vendor ROI claims that cannot be validated with real-world denial data
  • IT prioritization battles that delay RCM system upgrades for years
Personality Type

Numbers-first and impatient with vague claims. Will ask for a pilot with measured KPIs before any enterprise commitment. Responds well to vendors who speak her language: denial rate, DAR, A/R >90, clean claim rate.

🎯

Buying Triggers

  • Payer contract renegotiation revealing underpayment patterns requiring analytics
  • CFO sets hard target on denial rate reduction or A/R days improvement
  • New payer prior authorization requirements creating claims processing backlog
  • CMS coding rule changes (ICD-10, E/M guidelines) requiring workflow updates
  • Acquisition of a new practice requiring RCM system standardization
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Common Objections

  • What is your documented denial reduction rate across comparable health systems?
  • We need a 90-day pilot with our actual payer mix before any enterprise commitment
  • How does this integrate with our current billing system — we are on Epic Resolute
  • I need CFO approval and she is going to want a 12-month ROI projection with your assumptions
  • We tried an AI coding tool last year and it created more audit risk than it solved
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Channels & Media

social
LinkedIn (RCM and healthcare finance communities)HFMA member network
content
Denial reduction case studies with specific metricsROI calculators with adjustable assumptionsPayer-specific integration guidesMGMA/MAP key benchmark comparisons
research
MGMA benchmarking dataAdvisory Board RCM researchPeer success stories with named referencesHFMA MAP keys
preferred
HFMA (Healthcare Financial Management Association) Annual ConferenceBecker s RCM SummitPeer VP referrals
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Timeline & Cycle

Renewal Cycle 3-5 year contracts, annual performance reviews
Total Deal Cycle 3-9 months
Best Time To Reach Q4 budget planning or immediately after year-end denial analytics reveal performance gaps
Evaluation To Decision 3-6 months
Awareness To Evaluation 1-3 months
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Messaging Tips

  • Lead with denial rate reduction numbers — specific percentages with named health system references
  • Translate every feature into a dollar value: reduces DAR by X days equals Y in freed cash flow
  • Offer a structured pilot with agreed-upon KPIs and measurement methodology
  • Show Epic/Cerner/Oracle integration certification prominently
  • Never lead with AI or automation — lead with revenue impact, then explain the mechanism

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