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PSM in Biomedical and Health Informatics Internship Presentation by Thomas Newlin
June 8, 2018 @ 7:30 am - 8:30 am
Project #1: Assessing the Satisfaction of Citizens Using Teleconsent in Clinical Research
Project #2: Analysis of EHR-Related Information Overload on ICU Clinicians: A Simulation Study
Friday, June 8th, 11:30am-12:30pm EST
Manning Hall, room 14
Students in the Professional Science Master’s in Biomedical and Health Informatics Program complete an internship that synthesizes knowledge gleaned from the program curriculum. The purpose of the internship is to expand classroom learning to include “hands-on” experience in health IT, in the context of a particular industry sector.
Thomas Newlin, a PSM in Biomedical and Health Informatics student, will be presenting the two projects that he worked on during his internship.
Project #1: Assessing the Satisfaction of Citizens Using Teleconsent in Clinical Research
Abstract: Researchers tested the functionality and evaluated the feasibility of a telemedicine software, Doxy.me, to complete informed teleconsent sessions remotely with prospective research participants. Twenty healthy volunteers completed a teleconsent session, and web survey assessing overall experience and satisfaction with the Doxy.me software. There was a statistically significant correlation found between age and mean response for the overall reaction category (r = 0.398, p = 0.091) and the systems capabilities category (r = 0.380, p = 0.099). Results suggested that younger users are more satisfied than older users with using teleconsent as a modality for informed consenting. This information will be used to improve the software design and functionality of the Doxy.me software to make the teleconsent experience as simple and intuitive as possible.
Project #2: Analysis of EHR-Related Information Overload on ICU Clinicians: A Simulation Study
Abstract: To better understand EHR-related information overload in the ICU setting, we conducted a usability study of a commercial vendor-based EHR (Epic Systems) in a simulated environment. We analyzed key metrics to evaluate workload, usability, and scenario-based performance.