Development of an iOS Application Leveraging PalmSens MethodSCRIPT for Rapid COVID-19 Detection

Abstract

In light of the ongoing challenges posed by COVID-19 and the need for rapid diagnostic tools, we migrated our electrochemical potentiostat-based diagnostic tool from a desktop application to an iOS platform that is more portable and accessible. Our primary goal was to improve portability, enhance the user experience, and expand accessibility. Figma was used to create the app's design blueprint, allowing for an intuitive and user-friendly interface. Integrated user feedback guided subsequent design refinements. The development then took place using MethodSCRIPT and Swift, explicitly tailored for MacBook OS and iPhone devices. The application's seamless integration with PalmSens-supported NACOTS devices guarantees accurate and real-time data acquisition. Essential functions include setting operator names and sample IDs, initiating scans of NACOTS devices, and reading samples using Differential Pulse Voltammetry (DPV), which provides rapid diagnostic results. Moreover, graphical representations of DPV signals and the ability to share results increase the application's utility. Early evaluations demonstrate the app's usability with minimal training, complemented by its insightful screenshots. With this iOS application, we contribute to global efforts to democratize rapid diagnostic solutions, which are essential in regions with limited diagnostic facilities. This initiative addresses the current COVID-19 scenario and lays the groundwork for addressing future health crises.