Demonstrating Efficacy in Clinical Judgment Skills Using the Digital Clinical Experiences™

Elsevier’s Shadow Health Digital Clinical Experiences™ provide realistic interactions with virtual patients using a patented conversation engine.

Clinical judgment behaviors such as recognizing cues, analyzing cues, prioritizing hypotheses, generating solutions, taking actions, and evaluating outcomes are integrated within each of the DCE patient interactions, giving learners the opportunity to practice and develop these critical skills in a standardized environment. This helps learners build confidence in their clinical judgment skills and become more effective at delivering high-quality care to a diverse population of patients.

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White paper highlights

• This study demonstrated that as learners are able to uncover more findings within the Recognize Cues area of the CJMM, they score higher within the Prioritize Hypotheses or ability to determine the problem.
• Elsevier’s Shadow Health Digital Clinical Experiences provide realistic interactions with virtual patients using a patented conversation engine.
• Clinical judgment behaviors such as Recognize Cues, Analyze Cues, Prioritize Hypothesis, Generate Solutions, Take Actions, and Evaluate Outcomes are integrated within each of the DCE patient interactions, giving learners the opportunity to practice and develop these critical skills in a standardized environment