AI In Clinical Decision Making
Artificial intelligence (AI) enhances clinical decision-making by quickly analyzing large volumes of data to support diagnosis, risk assessment, treatment planning, and outcome prediction. It serves as a tool to augment—not replace—clinicians’ expertise.
Benefits of using AI tools
Translation of large and complex data
- Supports faster, more informed decision-making without requiring clinicians to manually sift through data
- Ability to analyze/identify historical trends
- Efficiency and Speed: Speeds up decision-making points by rapidly processing complex data
Personalized medicine
- Tailors treatments based on genetic data, comorbidities, and patient history
- Identifies at-risk patients (e.g., for sepsis or readmission) before symptoms escalate
- Chains of probability: decision mapping and outcome probabilities
- Uses features to anticipate outcome percentages
- Patient Characteristics
- Disease Features
- Decision Points
- The Outcome
AI in Healthcare
AI for QI, Clinical Decision Tools
Problem Solving & Analysis
Data Analysis
Resources
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AI Classification Models
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