Our Portfolio - Digital Health
Digital technologies have become the drivers of increased productivity, economic growth, and innovation across sectors. The digitization of several sectors of the economy has led to a reduction in transaction costs, improved access to services across population segments and enabled the wider participation of these sectors and segments in economic activity. However, healthcare as a sector, has lagged when it comes to adoption of digital technologies. Challenges like limited resources and unequal coverage hinder disease management. With a projected global shortage of 10 million healthcare workers by 2030, digital innovations offer a solution to strengthen primary care delivery and data-driven decision support. India, with its diverse healthcare landscape, can benefit by leveraging digital tools for inclusive universal healthcare. WHO estimates a billion people could gain better healthcare access and protection through digital technologies. However, hurdles persist. Many digital health solutions don’t align with the needs of healthcare systems, leading to them not being adopted. Limited data access and funding hamper validation studies and evidence generation. Long validation timelines deter investors. Yet, the potential of digital tools in infectious and other diseases, especially at primary care, is significant. However, to harness this untapped potential of digital innovations, several challenges must be addressed. IHF’s work in digital health is focussing on design thinking and evidence generation including provider-defined use cases, solutions design, validation & evidence generation, community involvement & inclusion, investment cases, models for adoption and financing.

Khushi Baby
Climate Health Vulnerability Index (CHVI): an AI-based real-time decision support tool to help assess climate-related health risks and enable proactive public health interventions to reduce community health risks.

Medprime Technologies
Artificial Intelligence-based detection, parasitic load calculation, and species differentiation for faster and more accurate diagnosis of malaria.

Qure.ai: qXR
An AI-based, automated chest X-ray screening tool to detect TB (and other lung disorders) within minutes.

SenseDose Technologies: TMEAD

Salcit Technologies: Swaasa
detect active TB cases in minutes from cough sounds
