Qure.ai has introduced its latest AI-powered co-pilot tool, AIRA, to support frontline healthcare workers in Low- and Middle-Income Countries (LMICs). The launch took place during the 78th World Health Assembly in Geneva.
AIRA is designed to optimise the use of limited healthcare resources in LMICs. It supports AI-enabled digitisation of symptom tracking and patient history collection, aids clinical protocol adherence and decision-making, and offers aggregated insights for population health.
According to Qure.ai, LMICs account for 17 million preventable deaths, with an anticipated shortage of 11 million healthcare workers by 2030. Additionally, more than 40 per cent of community health workers’ time is spent on manual data collection. AIRA seeks to reduce this administrative workload, allowing healthcare workers to spend more time with patients while enabling the automatic digitisation of patient data.
Speaking at a World Health Assembly side event on AI, Prashant Warier, CEO and Founder of Qure.ai, said: “With AI, we can make a seismic shift towards health equity in LMICs. AIRA in the hands of every healthcare worker will free up their time for more patient interactions via automated data collection and better clinical protocol adherence. With AI, we can multiply every dollar spent and realise significantly more impact and returns in LMIC health systems. We have demonstrated this in our last 10 years in TB and are motivated to do the same now for primary healthcare.”
Dr. Michel Sidibé, Special Envoy at the African Union, added: “Health ministries in developing nations need to deliver healthcare to their populations at a fraction of the budget compared to developed countries. We have to be creative to make this happen. Digital health and AI are most certainly catalysts to improve efficiency, access, and quality of care.”
AIRA is based on Large Language Models (LLMs) that have been trained to understand the specific challenges and needs of health systems in LMICs. The tool has been designed to support frontline healthcare workers by improving adherence to clinical protocols and enabling better patient engagement through reduced paperwork and faster data processing.
Qure.ai’s launch of AIRA marks an effort to improve efficiency and outcomes in primary healthcare delivery in underserved regions.
