Project Overview

Caregiving can be deeply disorienting as it involves an array of complex decisions and actions informed by limited knowledge. Moving beyond clinical practice and research, how do we help caregivers navigate the complexity of care while deriving real-world evidence about what works and what derails the care journey? Huddol is the first cross-disease, cross-platform, bilingual social health network that aims to help caregivers navigate the care journey by drawing on the real-world experience and insights of caregivers and health-care experts. The experience on Huddol starts with helping caregivers define their situation and needs. Based on those active data inputs, Huddol builds a custom network of care around the caregiver, linking them to those best equipped to help. Our project involves accelerating the technical capability of Huddol through the integration of artificial intelligence into the platform. AI will enhance the way we connect caregivers to each other, to health-care providers and to supports, while deriving deep, real-world data, and evidence about how we optimize the care experience. The inclusion of machine based learning into Huddol means that we can analyze and distill not only structured, but unstructured data. Effectively, we will be able to make sense out of a flow of caregiving experiences that, for the normal human brain, would be impossible to distill, interpret and compare. Our project will not only have significant social impact and improve the ways caregivers manage their health and the health of the person in their care, but it will also drive new areas of research, product and service development never before considered or imagined.