QPSi Knowledgebase
QI RESOURCES FOR HEALTHCARE PROFESSIONALS
The QPSi Knowledgebase offers practical quality improvement (QI) tools for busy clinicians to implement directly into their work. Explore concise guides, downloadable templates, and real-world case studies to help you drive measurable improvements in patient care.
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Protected: Reducing Unplanned Readmissions After Major Head and Neck Cancer Surgery
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Protected: Enhancing Patient Safety in Neurology Transfers Through a Collaborative, Standardized Handoff Tool
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Protected: Optimizing Operating Room Utilization through Data-Driven Culture Change in Academic Gynecologic Surgery
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Protected: Enhancing Patient Safety Through a Multidisciplinary Approach to Hypoglycemia Reduction
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Quality Improvement (QI) Promotion Journey
Quality Improvement in Clinical Practice Quality improvement is a systematic approach to examining how care is delivered and making evidence-informed changes to close the gap between what we know and what we do. It is not research in the traditional sense — it is the ongoing, practical work of ensuring that best practices reach patients...
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Control Charts
Understanding Process Variation Control charts are powerful tools for monitoring how a process changes over time. By plotting data in sequence, these charts help you distinguish between the natural variation inherent in a stable process and variation that indicates a specific, identifiable problem has occurred. A control chart displays a centerline for the process average,...
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NaviGator Primer for Clinicians
Integrating AI into Your Clinical Practice Artificial intelligence, particularly in the form of Large Language Models (LLMs), is rapidly becoming a practical tool in professional settings. An LLM is a sophisticated AI trained on vast amounts of text data to understand context, generate human-like writing, and answer complex questions. Within the University of Florida, NaviGator...
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Making Decisions with Classification Model Metrics
Understanding Model Trade-Offs When using an AI classification model to support clinical decisions, such as predicting which patients are at high risk for a specific condition, it is crucial to look beyond simple accuracy. Metrics like Positive Predictive Value (PPV), which measures the reliability of a positive prediction, and sensitivity, which measures how well the...
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Protected: Quality Improvement or Research
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