This research is supported by a grant with San Jose State University and UserWise Consulting from the U.S. Food and Drug Agency (BAA Grant EETWP26).
Human Factors Researcher & Lab Manager in a team of 4 from August 2018 to present
Validate a robust method of measuring how quickly people forget medical device training (training decay) across multiple periods (i.e. 1 hour, 1 day, 1 week)
Research questions: How can training decay curves be quantified? Are there differences in decay between task types (i.e. cognitive vs. physical tasks)?
Conducted literature review of published training decay studies to determine sample size and task categorization
Contributed to experimental design, developed research protocols, and managed the Institutional Review Board (IRB) processes
Managed participant recruitment and audio & video recording for usability tests of 13 participants for the pilot study
Preparing for a larger main study in 2020 with 125 participants
Observed no ceiling or floor effect, suggesting the difficulty of the device is appropriate
Identified possible differences in performance based on time-point and task type
Presented results at the 2019 and 2020 International Symposium of Human Factors in Healthcare in Chicago
Presentation and proceeding shown below
2020 HFES Healthcare Conference Presentation Slides, May 2020
Proceeding to be published for the 2020 HFES Annual Conference, October 2020
"With this grant, Kelli will play a key role to ultimately improve user error identification in medical devices while avoiding an undue toll on manufacturers and delays in getting life-improving innovative products to patients."
-Dr. Dan Nathan-Roberts, Co-principal Investigator