Overview
Full project details will be published closer to launch.
Specialties, services & categories
Clinical specialties:General Practice
Healthcare services:Primary Care
Categories:Patient Safety
Who should use it
Details to follow.
Objectives
Details to follow.
Data collected
Details to follow.
Outputs generated
- Live dashboard
- Audit report (Word)
- Executive summary (Word)
- Excel workbook
- PowerPoint presentation
- Conference poster
- ARCP evidence summary
Example outputs
Audit Report
DOCX
Executive Summary
DOCX
Dashboard
Excel Workbook
XLSX
PowerPoint Presentation
PPTX
Conference Poster
PPTX
ARCP Evidence Summary
DOCX
Governance notes
- Designed to use anonymised or pseudonymised audit identifiers.
- This tool supports, but does not replace, clinical judgement.
- Local policy, formulary and specialist advice should be followed.
- Organisations remain responsible for local governance arrangements.
Lazomis QI supporting resources
Supporting guidance from the Lazomis QI Resource Library. Authoritative clinical standards referenced by this project remain separate.
- Research and PublicationAuthorship in Healthcare Improvement Projects: Principles and PracticeThis guide clarifies authorship principles for healthcare improvement projects, helping teams ensure fair recognition for contributions and navigate the path to publication or dissemination.
- Clinical AuditRe-audit in Healthcare: Effective Timing and StrategyUnderstanding when and how to re-audit is crucial for embedding quality improvements. This guide explores factors influencing re-audit timing and strategy for sustainable change.
- Quality ImprovementPDSA Cycles: A Practical Guide to Testing Change in HealthcareThis guide provides a practical overview of Plan-Do-Study-Act (PDSA) cycles, a fundamental tool for testing changes in healthcare quality improvement. It details how to apply PDSA effectively, common challenges, and integration with broader QI efforts.
- Data and DashboardsUnderstanding and Using SPC Charts in Healthcare OperationsThis guide introduces Statistical Process Control (SPC) charts, explaining their value in healthcare operations for distinguishing between common and special cause variation, enabling targeted improvement efforts.