Your Revenue Cycle Performance Is Only as Good as Your Data
Providers lose 4–8% to preventable data defects.
CFOs fly blind without true throughput data.
Automation fails when data is incomplete or inconsistent.
How the Data Health Check-Up Works
Step 1
Stakeholder Interviews
We meet with front-end, billing, AR, and leadership teams to map workflows, identify gaps, and surface the data issues creating the most downstream disruption.
Time required:
60–90 min each (3 interviews total)
Step 2
Metadata Scan (Optional)
We review eligibility files, claim submission metadata, ERA/payment data, and AR behaviors for completeness, consistency, formatting, and error patterns.
Outcome: a clean picture of your data’s strengths and weak points.
Step 3
Scorecard & Recommendations
You receive a full score across five dimensions, a radar diagram, a workflow blockers summary, and a prioritized list of fixes that improve accuracy, throughput, and automation readiness.
What You Receive
Data Health Score
Metadata Scan Findings
Top 5 Recommendations
Benchmark vs Similar Providers
Who this is For
Dental (DSO)
Women’s health
Behavioral health
DME
Infusion & specialty
Any provider using internal or outsourced RCM
Why Tally?
Data-First Architecture
We prioritize clean, structured, multi-source data before automating anything.
Vertical Expertise
We’ve mapped data and workflows for dental, BH, DME, infusion, and multisite primary care.
Frequently Asked Questions
How long does the Data Health Check-Up take?
10 days from kickoff to final scorecard.
Do you need access to our PMS?
No. Interviews and optional metadata files are enough.
What data should we provide?
Eligibility files, claim field exports, ERA samples, or AR summaries — only if you choose the metadata version.
Is the interview-only version still accurate?
Yes — core issues surface clearly through interviews, though metadata increases precision.
Is our data secure?
Yes. All files are encrypted, access is restricted, and Tally is HIPAA compliant.
Pricing for Our AI RCM Solutions
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