QPSi Knowledgebase Roadmap
We Are Just Getting Started
The QPSi team is hard at work developing resources to help clinicians drive the future of quality patient care and safety. Here is a sneak peek of what we are working on.
Quality Improvement (QI) Foundations
Introduction
- The Case for Quality
- Getting Started with QI
Improvement Models & Methodologies
- IHI Model For Improvement
- Plan-Do-Study-Act (PDSA) Cycles
- Differentiating QI From Research
- DMAIC/Six Sigma
- Lean Principles
Root Cause & Problem Analysis
- Root Cause Analysis
- Fishbone Diagrams
- 5 Whys
- A3 Framework
- Failure Modes and Effect Analysis
Prioritization & Planning Tools
- SMART Goals
- Project Charters
- Driver Diagrams
- Impact-Effort Matrix
Process Mapping & Visualization
- Process Mapping
- Value Stream Mapping
Communication & Dissemination
- The QI Promotion Journey
- Reporting Your QI Work
Measuring QI
Measurements & Metrics
- Understanding Variation & Data Over Time
- Run Charts
- Control Charts
- Understanding Quality Scorecards
- Pareto Charts
- UF Health Priorities And How They Are Measured*
Data Sources & Tools
- Introduction to QI Data Collection
- Chart Reviews/Abstraction For QI
- Analyzing Quality Improvement Data
- Data Sources For QI Projects at UF Health
- Data Requests For QI
- EHR tools for QI
- Getting Started With Power BI
- Slicer/Dicer
- Understanding Weekly Data From UF Health*
QI Collaboration
Teamwork & Engagement
- Stakeholder Engagement
- After-Action Reviews
- Communication for QI
- Team Building
- Conflict Resolution
Safety Culture
- Culture of Safety/Just Culture
- Reporting & Learning From Errors
- Safety I, II, III
- High Reliability Organizations
- Standard Workflows & Protocols
Organizational Strategy
- Systems Thinking
- Learning Health Systems
- Measurement, Regulatory & Accreditation Bodies
- Value Based Care (MRAB)
- Physician Directors of Quality (PDQs) at UF Health*
Communication & Handoff Tools
- SBAR/Patient Handoffs
- I-Pass: A Structured Handoff Framework
- Checklist
ArtificiaI Intelligence (AI) For QI
Clinical AI Foundations: The “What” and “Why”
- Beyond Efficiency: The True Goal of AI in Healthcare
- AI-Enabled Clinical Decision Support (CDS): Principles and Roles
- Overview of Modern AI Methodologies in Healthcare
Deepening Methodological Knowledge: The “How”
- Understanding Classification Models and Metrics (AIMD)
- How Classification Models Aid Clinical Decision-Making (AIQI CM)
- Introduction to Optimization in Clinical AI
- Generative AI in Clinical Settings
- AI Agents in Healthcare
AI in Practice: Execution & QI
- Integrating and Evaluating AI in QI Projects
- ModelOps for Healthcare: Continuous Quality Assurance of Clinical AI
- AI and Resilience Engineering (Safety-II) in Healthcare
- AI for Documentation and Administrative Workflows
- Prompt Engineering for Clinicians (NAVI)
AI Risk, Governance & Quality
- Regulatory, Ethical, and Legal Considerations of AI in Medicine
- Understanding AI Errors and Failure Modes
- UF Health AI Guidance and Policies
Contact QPSi
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