Referral Leakage Detection

Community

Stop revenue leakage from out-of-network referrals.

AuthorGoldenZero
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill identifies and quantifies patient referral leakage, where referred patients seek services outside the health system's network, leading to significant revenue loss and care fragmentation.

Core Features & Use Cases

  • Quantify Leakage: Measure the financial impact of out-of-network referrals by specialty, payer, and geography.
  • Identify Drivers: Pinpoint the root causes of leakage, such as access issues, geographic barriers, or payer limitations.
  • Develop Strategies: Generate targeted retention strategies with estimated revenue recovery and ROI.
  • Use Case: A hospital system wants to understand why patients referred to cardiology are seeking care elsewhere. This Skill analyzes referral data against claims to find out-of-network visits, identifies that competitor wait times are shorter, and suggests strategies like hiring an additional cardiologist or expanding telehealth options to retain these patients and their associated revenue.

Quick Start

Analyze my referral data to identify the top three causes of leakage and suggest actionable retention strategies.

Dependency Matrix

Required Modules

None required

Components

scriptsreferencesassets

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: Referral Leakage Detection
Download link: https://github.com/GoldenZero/skills/archive/main.zip#referral-leakage-detection

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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