Design of an Interactive Crowdsourcing Platform to Facilitate User-Centered Information Needs Evaluation

• Main Author: Dufendach, Kevin Reid
• Other Authors: Christoph U. Lehmann
• Format: Others
• Language: en
• Published: VANDERBILT 2016
• Subjects: Biomedical Informatics
• Online Access: http://etd.library.vanderbilt.edu/available/etd-07222016-124830/

Background Effective medical software is designed to fit the needs of the end users, translating their work into action. User-centered design seeks to involve users at all stages of the design process, but the process itself can be tedious, leading to variable degrees of implementation amongst vendors. This research seeks to create a new method of involving multiple end users remotely in the user-centered design process in order to establish the features and design required for clinicians need to perform effectively. Objectives The objectives of this research are to summarize currently identified necessary pediatric-specific EHR functionalities and create an online software platform to delineate further needs and functionalities, contributing to remote user-centered design of electronic medical record software. Methods We created Vanderbilt Active Interface Design (VandAID), a novel web-based software platform for crowdsourcing user interface design. The platform provides immediate real-time feedback on user interface design and layout decisions using example patient scenarios. The scenarios can pull information from a variety of sources using standards such as a Fast Health Interoperability Resource (FHIR). The design platform allows the selected options to be sent to a REDCap project for statistical analysis or viewed directly in the VandAID platform. We performed a randomized controlled trial to test the usability and utility of this software platform for the design of a neonatal handoff tool. Conclusions This research advances scientific approaches to user-centered design of health information technology by creating a means of collecting remote feedback from multiple users. Results from the randomized controlled trial in the first use case demonstrate this software platform to be a highly usable and effective means of performing cooperative user-centered design.