Demonstrating efficacy in clinical judgment skills using the digital clinical experience
7 November 2022
By Cheryl Wilson, DNP, APRN, ANP-BC, FNP-BC, CNE, CHSE, Francisco A. Jimenez, PhD, Nicole Potts, MSM
Elsevier’s Shadow Health Digital Clinical Experiences™ (DCE) 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.
White paper highlights
This study demonstrated that as learners are able to uncover more findings within the Recognize Cues area of the Clinical Judgment Measurement Mode (CJMM), they score higher within the Prioritize Hypotheses or ability to determine the problem.
Elsevier’s Shadow Health DCEs 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
2023 Demonstrating efficacy in clinical judgment skills using the digital clinical experience
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Shadow Health’s patented Conversation Engine guarantees students practice authentic conversations with patients with diverse representation that may not be seen in the clinical setting.