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Classified in: Science and technology
Subjects: Contract/Agreement, Product/Service

Hyperscience and The International Rescue Committee Launch Project to Modernize Data Collection and Analysis in Humanitarian Settings


Today, the IRC and Hyperscience, the Human Centered Automation company, announced a new partnership that will, for the first time, apply machine-learning to the IRC's data collection in health clinics treating malnourished children. Currently, data at health facilities is collected by hand and then transcribed into databases. This collaboration marks a potential breakthrough in how data is captured and used in some of the most challenging humanitarian settings.

"We're thrilled to launch this initiative with Hyperscience," said Jeannie Annan, Chief Research and Innovation Officer at the IRC. "Their technology and application in humanitarian contexts?where there are limited data systems?could be a game changer for data analysis and measuring outcomes. Not only does this enable us to increase the speed and accuracy of our data collection, but it helps us create more capacity to improve programs and test new solutions."

Globally, 50 million children are acutely malnourished at any given time, with only 20% receiving treatment, due in large part to a complex and costly system that severely limits scaled access to care. The IRC has developed and tested a simpler, more cost-effective approach to treat malnutrition, designed to scale so that significantly more children can receive a treatment that has been proven to be extremely effective. The IRC teams are currently running several pilots demonstrating how the approach works in practice, and in each pilot the accurate, near real-time data allows the IRC to continually refine how it can treat patients and scale its methods.

Using Hyperscience's human-centered automation technology, handwritten data captured by IRC teams can be photographed and instantly digitized to automate information extraction. By accelerating the speed at which critical information on patient outcomes can be recorded and analyzed, the IRC will have the ability to improve programming, including the collection of broader patient demographics and prescriptions from doctors, previously left unrecorded due to time constraints. This creates a more complete data set of patient outcomes to help better inform necessary solutions to combat malnutrition.

"We are honored that our technology will support the IRC with faster access to higher quality data," said Charlie Newark-French, Interim CEO at Hyperscience. "Additionally, by augmenting such a vital and burdensome part of the process, we're also helping valuable frontline resources focus on what matters most?helping others. This is a tremendous opportunity to put our mission in action and further improve our technology for other important applications like this in the future."

Find out more by visiting https://hyperscience.com. Follow Hyperscience on LinkedIn and Twitter.

About the IRC
The International Rescue Committee responds to the world's worst humanitarian crises, helping to restore health, safety, education, economic well being, and power to people devastated by conflict and disaster. Founded in 1933 at the call of Albert Einstein, the IRC is at work in over 40 countries and over 20 U.S. cities helping people to survive, reclaim control of their future, and strengthen their communities. Learn more at www.rescue.org and follow the IRC on Twitter & Facebook.

About Hyperscience
Hyperscience is transforming the future of work to elevate human potential. Our human-centered approach to automation enables a new era of human and machine collaboration that delivers dramatically improved organizational agility, without the legacy cost and burden of change management. By combining data, people, and processes, the Hyperscience Platform turns complex processes into simple, configurable workflows. Our industry-leading machine learning technology continuously learns and evolves, to involve humans only when needed.


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News published on 24 may 2022 at 09:15 and distributed by: