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.
For media queries:
Amrutha Joseph - amrutha.joseph@qure.ai