Internet Scale Research Studies using SDL-RX

TL;DR

This paper introduces SDL-RX, a versatile software library for ResearchKit that facilitates personalized, rich visual surveys on iOS and Android, addressing usability and data quality issues in large-scale medical research.

Contribution

SDL-RX provides a novel, cross-platform solution for creating study-specific, personalized visual surveys, enhancing data collection in large-scale medical research.

Findings

Enables rich visual survey creation on mobile platforms

Supports personalization for study-specific needs

Improves usability and data richness in research surveys

Abstract

Medical research is one area where collecting data is usually hard and expensive. With the launch of ResearchKit, Apple and Sage Bionetworks made large-scale personal data collection increasingly popular via simple text-based survey apps running on mobile phones. But such surveys can be a barrier in terms of usability and richness of the data being collected. In this paper, we present SDL-R X , a powerful software library designed for ResearchKit that enables study-specific, personalized, and rich visual surveys, for both iOS and Android platforms.