AI-powered digital health operating system, QureOS, launched to strengthen resource-constrained health systems, improve health access in under-served populations & guide tech adoption
“Health systems worldwide are overburdened, under-equipped and face workforce shortages, particularly in resource-constrained settings,” states Prashant Warier, Co-founder and CEO of Qure.ai. “While AI innovation continues to accelerate, adoption remains uneven, especially within Low- and Middle-Income Countries. We renew our call to action towards driving healthcare equity with the launch of QureOS.”
The number of physicians per 1000 people in western nations such as Germany, the UK and USA range from 4-2, dropping to lower than 1 in Low- and Middle-Income Countries (LMICs), and plummeting further in many African and Asian nations. Now with the future of support programs at risk, there is a health equity emergency.
AI can be the equalizer. In tackling TB, AI has already demonstrated that disease screening can be done at a scale in remote and the most under resourced communities. It is now possible to replicate this success in multi-disease areas.
With a boom in global AI-innovation, QureOS has been designed to address the barriers of trying and adopting healthcare AI in LMICs. It brings together applications from proven vendors worldwide, across various disease areas including non-communicable diseases (NCDs), infectious diseases, maternal & child health, on a single platform. It will also include a specialist AI chatbot to aid clinical decision support for primary healthcare (PHC) workers. By improving access to AI-powered digitisation, PHCs can be strengthened, aiding better triage, efficient resource allocation and improved patient care.
Health Ministries can prioritize local needs and embrace a systematic way to test and scale quality AI solutions. Instead of scouting for solutions and setting up multiple test pilot infrastructure, QureOS will provide a single platform approach with AI-innovation Sandbox.
“Health systems across many African countries face significant strain due to a shortage of trained personnel and limited infrastructure. A locally adapted AI-first digital health platform has the potential to bridge these gaps, delivering equitable and effective care to underserved populations,” states Okoye Chidimma Lilian, Project Coordinator, INTEGRATE TB Project at Catholic Caritas Foundation of Nigeria. “A trusted partner like Qure.ai has been pivotal in our journey. Its expertise and innovative solutions have played a crucial role in advancing our goals of health equity and improved outcomes for communities in need.”
“A country-specific AI operating system that validates clinical effectiveness and tests against local datasets has the potential to advance health equity and boost health system performance at primary care levels. It will ensure healthcare innovations are tailored to local needs and fosters a sustainable, forward-looking and inclusive digital roadmap,” states Debarshi Bhattacharya, Project Director at Resolve to Save Lives.
“While LMICs recognize the potential for AI to build resilient health systems, they are often overwhelmed by choice and constrained by the financial barriers for testing,” adds Prashant Warier, Co-founder and CEO of Qure.ai. “QureOS aims to address these hurdles, and we are rapidly moving towards deployment in nations such as Africa facing severe health inequalities.”
Founded in 2016, Qure.ai is committed to making healthcare more accessible and equitable globally, with deployments in more than 90 countries.
Qure.ai is a health tech company that uses deep learning and Artificial Intelligence (AI) to make healthcare more accessible and equitable for patients worldwide. Our solutions power the efficient identification and management of Tuberculosis (TB), Lung Cancer and Stroke to support clinicians and propel developments in the pharmaceutical and medical device industries. We empower healthcare by helping to identify conditions fast, prioritize treatment planning and ultimately improve quality of patient life.
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