By 2017, CHIP 1.0 was officially launched, driving improvements in immunization rates and reducing malnutrition. During the COVID-19 pandemic, CHIP supported vaccination tracking and digital health census efforts in Rajasthan. Today, the platform has onboarded over 75,000 Community Health Workers (CHWs), reaching 45 million beneficiaries across 40,000 villages, scaled fully within Rajasthan’s public health system. CHIP 2.0 is now being developed as an open-source Digital Public Good (DPG), with advanced features like multi-state portal compatibility and enhanced data security. The organization’s B2G model focuses on co-developing solutions with governments and transitioning implementation responsibilities to them, ensuring sustainability. Khushi Baby has already secured partnerships in states like Karnataka and Maharashtra to scale CHIP 2.0 further, aiming for national adoption and creating a scalable, impactful, and sustainable public health solution.
Building on successes and lessons from CHIP, CHVI will go a step further and assess climate-sensitive health vulnerability indices, which will help forecast risks such as air pollution spikes, heat-related illnesses, or vector-borne disease outbreaks and enable proactive responses. CHVI holds the potential to function as an early warning system for health officials to deploy targeted interventions and reallocate resources swiftly and appropriately to areas where climate-sensitive health risks are the highest.
With the ability to integrate data with state-level health monitoring systems, CHVI promises to enhance state-level early warning capacity and risk management.
The initiative builds on IHF’s pioneering work in enabling the application of science and technology-based tools to address public health challenges and the commitment to support action towards the adaptation pof health systems to the impact of climate change on human health. IHF’s support to Khushi Baby will catalyze the development of CHVI in Rajasthan involving data engineering, policy inputs and stress testing, followed by a validation phase with pilot testing, training, and feedback loops. A final refinement phase will allow for model adjustments, training, state-wide dissemination in Rajasthan and positioning the open-access digital public good for multi-state adoption.