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Alerts, Warnings, and AI

Learning Objectives
1. Describe clinical decision support and identify the role of warnings and recommendations in the EHR
2. Recognize how warnings are generated (human-determined parameters i.e. rule based vs learning AI systems)
3. Identify situations that may warrant overriding a warning and those that do not
4. Indicate key questions to ask yourself before ignoring or over-riding a warning
5. Define alert fatigue and how to avoid it
0.25 Credit
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Within the EHR Workflow Learning Series medical students will learn systematic and efficient ways to transform an electronic health record (EHR) into their ally. In this micro learning course about alerts, warnings, and augmented intelligence (AI) you will learn how to describe clinical decision support, identify the role of warnings and recommendations in the EHR, and recognize how warnings are generated. You will also learn how to identify situations that may warrant overriding a warning and those that do not, indicate key questions to ask yourself before ignoring or over-riding a warning, and define alert fatigue and how to avoid it.

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The AMA EHR Workflow Learning Series helps medical students leverage any Electronic Health Record to improve their efficiency and effectiveness as they gain increasing responsibility in health care settings. Learn now.

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Disclosure Statement: Unless noted, all individuals in control of content reported no relevant financial relationships.

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