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    The WFN service page.

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    Medical Students\u27 Perception of Automated Note Feedback After Simulated Encounters.

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    BACKGROUND: Grading medical student patient notes (PNs) is resource-intensive. Natural language processing (NLP) offers a promising solution to automatically grade PNs. We deployed an automated grading system that uses NLP and explored the perceived value of PN feedback. APPROACH: The automated system graded written notes after two standardized patient encounters by third-year medical students. The system generated an individualized report on \u27items found\u27 and \u27items not found\u27 in the history, physical examination, and diagnosis sections, which was shared with students for feedback via a web-based interface. By rotation, block students received either the automated case feedback first or the faculty-written model note feedback first (the pre-intervention baseline). EVALUATION: After reviewing feedback, students completed surveys for both automated feedback and model note feedback and participated in follow-up focus groups. In total, 44 students received feedback, 37 completed surveys, and 28 participated in focus groups. Qualitative themes that emerged suggested the automated feedback was visually appealing and allowed for easy comparison of items found vs. missing, which would help improve students\u27 documentation skills. Model note appeared trustworthy. IMPLICATIONS: We found automated systems can be a potential tool for formative feedback on note writing activity although in terms of quality it does not surpass the pre-existing feedback methods, such as model note feedback used in our study. Order effects may have influenced these perceptions and the small sample size limits generalizability. Tested software had occasional errors in recognizing a phrase or showing a false positive

    DermDx: Firm Lesion on Scalp

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    Advances in applications of prenatal genetic testing

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    Interesting Multidisciplinary OB Cases

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    The Science of Safety: Evidence-Based Approaches to Gun Violence Prevention

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    Heart of the Matter: Echocardiogram Leading to the Discovery of Metastatic Pelvic Chondrosarcoma.

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    • Metastatic chondrosarcoma is an extremely rare cause of secondary cardiac tumors. • Multimodal imaging can make a tentative diagnosis, but biopsy is needed to confirm. • TTE should assess morphology, mobility, attachment, or extension of any mass. • Imaging-based tissue features cannot reliably differentiate tumor from thrombus. • Administration of a UEA may help differentiate tumor from thrombus

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