Integrating Ml, Ai, And Iot In Digital Healthcare: A Pathway To India’s Economic Transformation

Abstract

This research paper delves into how Machine Learning (ML), Artificial Intelligence (AI), and the Internet of Things (IoT) are being integrated within India’s digital healthcare scene. The goal is to tackle the lack of solid data on just how well these technologies work and whether they can be effectively scaled in local healthcare environments, in most cases. To do this, the research uses both quantitative data collection assessing things like health outcomes, cost-effectiveness, and how engaged users are and qualitative insights gathered from various stakeholders across the healthcare ecosystem. It turns out that using ML and AI models can really boost diagnostic accuracy and get patients more involved. Plus, IoT devices are helping improve real-time monitoring and how resources are managed in healthcare facilities, contributing, as a result, to a more streamlined system which leads to better patient outcomes and cuts down on operational expenses. This research offers valuable empirical evidence and underscores the importance of strategically investing in healthcare technology as a pathway to sustainable economic development. It emphasizes this necessity in particular.