Finding Health Care Usability and Safety Issues in Consumer Product Reviews

摘要

Multiple techniques exist for eliciting usability and safety information related to product design. These methods work well for some types of use scenarios but have limitations. This work proposes a supplemental method of obtaining information relevant to usability and safety by systematically evaluating consumer reviews of medical devices using Natural Language Processing (NLP) techniques. Results include valuable information about categories of use, user priorities, and sources of user confusion. This project described a new method for gathering information from end users of medical devices. The information extracted may be useful to clinicians, manufacturers, and patient educators.