Applying a Participatory Design Approach to Define Objectives and Properties of a “Data Profiling” Tool for Electronic Health Data

We applied a participatory design approach to define the objectives, characteristics, and features of a “data profiling” tool for primary care Electronic Health Data (EHD). Through three participatory design workshops, we collected input from potential tool users who had experience working with EHD. We present 15 recommended features and characteristics for the data profiling tool. From these recommendations we derived three overarching objectives and five properties for the tool. A data profiling tool, in Biomedical Informatics, is a visual, clear, usable, interactive, and smart tool that is designed to inform clinical and biomedical researchers of data utility and let them explore the data, while conveniently orienting the users to the tool’s functionalities. We suggest that developing scalable data profiling tools will provide new capacities to disseminate knowledge about clinical data that will foster translational research and accelerate new discoveries.