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 donā€™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. IHFā€™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 Al-based real- time decision support tool to help assess climate-related health risks and enable proactive public health interventions o reduce community health risks.

Medprime Technologies

An AI-based detection, parasitic load calculation and species differentiation for faster and accurate diagnosisĀ ofĀ malaria.

NVBDCP

Digitizing National Malaria Statistics

Qure.ai: qXR

Using artiļ¬cial intelligence to improve diagnosis of TB & COVID-19, and other lung ailments.

SenseDose Technologies: TMEAD

Product design, Internet of Things and cellular technology coming together to improve adherence to TB medication regimes, and enabling remote patient monitoring.

Salcit Technologies: Swaasa

Non-invasive patient-friendly AI-led platform that can detect active TB cases in minutes on mobile phones by reading cough signatures.

TrakItNow: Moskeet

A breakthrough tool using artiļ¬cial intelligence and IoT for mosquito surveillance to improve vector control.