Agent skill · Data & Analytics

revenue-cycle-analytics

Analyze revenue cycle performance metrics including denial rates, days in AR, clean claim rates, and collection efficiency to identify improvement opportunities

a5c-ai1,642★ · 1 repos on radarProfile →
claude-codecodexcan modify filesMIT
Install
npx skills add a5c-ai/babysitter --skill revenue-cycle-analytics --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 2 KB
Bundled scripts: none
Allowed tools: ReadGrepWriteEditGlobBashWebFetch
Path: library/specializations/domains/social-sciences-humanities/healthcare/skills/revenue-cycle-analytics/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,642
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Revenue Cycle Analytics Analyze revenue cycle performance metrics including denial rates, days in AR, clean claim rates, and collection efficiency to identify improvement opportunities. ## Overview This skill enables analysis of revenue cycle performance in healthcare organizations. It encompasses metric calculation, trend analysis, benchmarking, and improvement opportunity identification to optimize financial performance. ## Capabilities ### Key Metrics - Denial rates and reasons - Days in accounts receivable - Clean claim rates - Collection rates - Net revenue per encounter ### Trend Analysis - Historical trending - Variance analysis - Seasonality patterns - Payer performance - Service line analysis ### Benchmarking - Industry comparisons - Peer benchmarking - Best practice targets - Performance gaps - Improvement opportunities ### Root Cause Analysis - Denial analysis - Write-off review - Underpayment identification - Process breakdown - Payer issues ## Usage Guidelines ### Analysis Process 1. Define metrics and KPIs 2. Collect and validate data 3. Calculate performance measures 4. Analyze trends and patterns 5. Benchmark against targets 6. Identify root causes 7. Develop reco

What's inside
Steps it walks through
  1. Overview
  2. Capabilities
  3. Key Metrics
  4. Trend Analysis
  5. Benchmarking
  6. Root Cause Analysis
  7. Usage Guidelines
  8. Analysis Process
  9. Key Performance Areas
  10. Reporting Standards
  11. Integration Points
  12. Related Processes
  13. Collaborating Skills
  14. References
More from babysitter
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About this skill
What does the revenue-cycle-analytics skill do?

Analyze revenue cycle performance metrics including denial rates, days in AR, clean claim rates, and collection efficiency to identify improvement opportunities

How do I install it?

Run `npx skills add a5c-ai/babysitter --skill revenue-cycle-analytics --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going