Clinical performance data in learner needs identification. Applying the quality assurance process to continuing...

Area of Science:

• Medical Education
• Healthcare Performance Improvement
• Learning Science

Background:

• Effective learning is defined as performance change when needed.
• Hospitals are ideal settings for addressing learner needs.
• Patient care data aggregation within hospitals offers large, reliable samples.

Purpose of the Study:

• To define effective learning through performance change.
• To establish the hospital as the optimal setting for learner needs assessment.
• To demonstrate the feasibility of using aggregated patient care data for educational improvement.

Main Methods:

• Aggregating patient care data within a hospital setting.
• Analyzing data to identify performance gaps and learning opportunities.
• Utilizing data for curriculum development by the director of medical education.

Main Results:

• Performance change is the key indicator of effective learning.
• Hospitals can reliably assess learner needs through aggregated patient data.
• Data-driven curriculum development is achievable and effective.

Conclusions:

• Effective learning is demonstrated by necessary performance changes.
• Hospitals are uniquely positioned to leverage patient data for medical education.
• Directors of medical education can use performance data to enhance learner curricula.