J
Jenna L. Marquard
Researcher at University of Massachusetts Amherst
Publications - 67
Citations - 695
Jenna L. Marquard is an academic researcher from University of Massachusetts Amherst. The author has contributed to research in topics: Health care & Usability. The author has an hindex of 13, co-authored 61 publications receiving 563 citations. Previous affiliations of Jenna L. Marquard include University of California, Los Angeles & University of Wisconsin-Madison.
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Journal ArticleDOI
What do physicians read (and ignore) in electronic progress notes
Patrick Brown,Jenna L. Marquard,Brian Amster,Matthew R. E. Romoser,Jennifer Friderici,Sarah L. Goff,Donald L. Fisher +6 more
TL;DR: Physicians in this study directed very little attention to medication lists, vital signs or laboratory results compared with the impression and plan section of electronic notes.
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Nurses' behaviors and visual scanning patterns may reduce patient identification errors.
Jenna L. Marquard,Philip L. Henneman,Ze He,Junghee Jo,Donald L. Fisher,Elizabeth A. Henneman +5 more
TL;DR: Differences in nurses' behaviors and visual scanning patterns during the medication administration process influence their capacities to identify patient ID errors, including predictable eye fixation sequences across artifacts, whereas non-error-identifying nurses tended to have seemingly random eye fixation sequence.
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Bar-code verification: Reducing but not eliminating medication errors
Philip L. Henneman,Jenna L. Marquard,Donald L. Fisher,Justin Bleil,Brendan Walsh,Justin P. Henneman,Fidela S.J. Blank,Ann Marie Higgins,Brian H. Nathanson,Elizabeth A. Henneman +9 more
TL;DR: Using observation, eye tracking, and clinical simulation with embedded errors, data supported that bar-code verification may reduce but not eliminate patient identification and medication errors during clinical simulation of medication administration.
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Eye tracking as a debriefing mechanism in the simulated setting improves patient safety practices.
Elizabeth A. Henneman,Helene Cunningham,Donald L. Fisher,Karen Plotkin,Brian H. Nathanson,Joan Roche,Jenna L. Marquard,Cheryl A. Reilly,Philip L. Henneman +8 more
TL;DR: Eye tracking offers a unique opportunity to provide students with objective data about their behaviors during simulation experiences, particularly related to safety practices that involve the comparison of patient stated data to an artifact such as an ID band.
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Commercial off-the-shelf consumer health informatics interventions: recommendations for their design, evaluation and redesign
TL;DR: CHI designers can employ the use case-based evaluation approach to assess the fit of a CHI intervention with patients' health work, in the context of their daily activities and environment, which would be difficult or impossible to evaluate by laboratory-based studies.