Abstract

The present study takes legibility research and extends it to the medical setting. Internal Medicine Physicians from UCF developed six passages of medical text detailing a History of Present Illness (HPI) Report from an emergency department as well as comprehension questions for the purpose of our study. In our study, we first presented non-medical passages and comprehension questions in six common fonts to identify participants’ individual fastest and slowest fonts. We then gave participants medical passages in both their best and worst fonts while measuring reading speed and comprehension. This study was delivered to a population of Amazon Mechanical Turk crowd workers to help us better understand how legibility improvements can be made within specific fields. We hope that with this study we can begin the process of restructuring Electronic Health Records to be more usable and efficient for physicians.

Thesis Completion

2021

Semester

Spring

Thesis Chair

Sawyer, Ben D.

Degree

Bachelor of Science (B.S.)

College

College of Engineering and Computer Science

Department

Industrial Engineering and Management Systems

Language

English

Access Status

Open Access

Release Date

5-1-2021

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