outcomes-attribution
CommunityAttribute health outcomes to interventions.
Data & Analytics#causal inference#healthcare analytics#value-based care#outcomes attribution#program evaluation#health outcomes
AuthorGoldenZero
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps determine the specific impact of clinical interventions, programs, or policy changes on observed health outcomes, enabling accurate credit allocation and evidence-based decision-making.
Core Features & Use Cases
- Causal Inference: Employs advanced statistical methods (DID, ITS, PSM, IV) to establish causality.
- Intervention Mapping: Visualizes and analyzes the timeline and scope of multiple concurrent interventions.
- Attribution Reporting: Quantifies the contribution of each intervention to overall outcomes with confidence scoring.
- Use Case: A health system wants to understand if a new diabetes management program or a recent change in medication policy led to a decrease in A1C levels, and by how much each contributed.
Quick Start
Analyze my outcomes attribution data and recommend clear next actions.
Dependency Matrix
Required Modules
None requiredComponents
assetsreferencesscripts
💻 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: outcomes-attribution Download link: https://github.com/GoldenZero/skills/archive/main.zip#outcomes-attribution Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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