The Covid-19 pandemic has upended several datafication approaches to healthcare, whether it is digital dashboards at the state-level to track and trace Covid-19 hotspots or a myriad of contact tracing apps that allow citizens to determine their exposure levels to the virus in a geographic span.
There have been manifold applications over the last few months, whether it is telemedicine practice by doctors, or the Delhi government’s real-time information tracking application on hospital beds. In the context of the pandemic, AI based techniques are being used on a myriad on datasets right from cough patterns to lung X-rays to aid in early detection.
While India is still in its nascent stages in the evolution of its health data ecosystem and does battle larger capacity constraints in healthcare, it is important to diagnose some of the early challenges in the health data systems design. This article outlines them here from a regulatory standpoint along with looking at a few fixes that can herald a sound federated health data protection architecture.
Read the entire article below written by SUBHODEEP JASH and SAHIL DEO, Visiting Faculty, Daksha Fellowship
x
