Can Prospective Usability Evaluation Predict Data Errors?,
2010
University of Texas Health Science Center at Houston, School of Health Information Sciences, Houston TX, USA
Can Prospective Usability Evaluation Predict Data Errors?, Constance M Johnson, Meredith Nahm, Ryan J Shaw, Ashley Dunham, Kristin Newby, Rowena Dolor, Michelle Smerek, Guilherme Del Fiol, Jiajie Zhang
Faculty, Staff and Student Publications
Increasing amounts of clinical research data are collected by manual data entry into electronic source systems and directly from research subjects. For this manual entered source data, common methods of data cleaning such as post-entry identification and resolution of discrepancies and double data entry are not feasible. However data accuracy rates achieved without these mechanisms may be higher than desired for a particular research use. We evaluated a heuristic usability method for utility as a tool to independently and prospectively identify data collection form questions associated with data errors. The method evaluated had a promising sensitivity of 64% and a …
