Publications by authors named "A Spickard"
Background: Medical students may observe and subsequently perpetuate redundancy in clinical documentation, but the degree of redundancy in student notes and whether there is an association with scholastic performance are unknown.
Objectives: This study sought to quantify redundancy, defined generally as the proportion of similar text between two strings, in medical student notes and evaluate the relationship between note redundancy and objective indicators of student performance.
Methods: Notes generated by medical students rotating through their medicine clerkship during a single academic year at our institution were analyzed.
This Conversations Starter article presents a selected research abstract from the 2017 Association of American Medical Colleges Northeastern Region Group on Educational Affairs annual spring meeting. The abstract is paired with the integrative commentary of three experts who shared their thoughts stimulated by the study. Commentators brainstormed "what's next" with learning analytics in medical education, including advancements in interaction metrics and the use of interactivity analysis to deepen understanding of perceptual, cognitive, and social learning and transfer processes.
View Article and Find Full Text PDFBackground: As technology in medical education expands from teaching tool to crucial component of curricular programming, new demands arise to innovate and optimize educational technology. While the expectations of today's digital native students are significant, their experience and unique insights breed new opportunities to involve them as stakeholders in tackling educational technology challenges.
Objective: The objective of this paper is to present our experience with a novel medical student-led and faculty-supported technology committee that was developed at Vanderbilt University School of Medicine to harness students' valuable input in a comprehensive fashion.
Problem: Many medical schools are modifying curricula to reflect the rapidly evolving health care environment, but schools struggle to provide the educational informatics technology (IT) support to make the necessary changes. Often a medical school's IT support for the education mission derives from isolated work units employing separate technologies that are not interoperable.
Intervention: We launched a redesigned, tightly integrated, and novel IT infrastructure to support a completely revamped curriculum at the Vanderbilt School of Medicine.
Objective: Assessment of medical trainee learning through pre-defined competencies is now commonplace in schools of medicine. We describe a novel electronic advisor system using natural language processing (NLP) to identify two geriatric medicine competencies from medical student clinical notes in the electronic medical record: advance directives (AD) and altered mental status (AMS).
Materials And Methods: Clinical notes from third year medical students were processed using a general-purpose NLP system to identify biomedical concepts and their section context.