Augintel Will Receive Computing Credits and Technical Expertise from AWS to Build a New Natural Language Processing (NLP) Product Supporting Child Welfare Organizations
CHICAGO, Nov. 1, 2022 /PRNewswire-PRWeb/ -- Augintel today announced that it has been selected as part of the Amazon Web Services (AWS) Health Equity Initiative, a $40 million, three-year commitment, supporting organizations that are developing solutions to advance health equity.
Through the initiative, AWS offers AWS credits and customized technical expertise to selected organizations around the world that want to use AWS services to improve health outcomes and health equity in any of the following areas:
● increasing access to health services for underserved communities
● addressing social determinants of health
● leveraging data to promote more equitable and inclusive systems of care diagnostics
● advancing equity in diagnostics and screening
The support from AWS will advance Augintel's efforts to build a cloud-based product that helps state child welfare organizations use natural language processing (NLP) to monitor the performance of their organization. As an example, state child welfare organizations collaborate with the federal Administration for Children and Families (ACF) on Child and Family Services Reviews (CFSR), which are periodic reviews of state child welfare systems against set goals. Augintel aims to help identify critical information buried in the text of reports and assessments in order to improve the CFSR process, as well as give agencies a day-to-day, real-time view of their performance relative to the CFSR criteria.
"We are so honored to have been selected as a participant in the AWS Health Equity Initiative. We look forward to working with ACF, state child welfare organizations across the country, and AWS on our plans for using NLP and cloud technology to advance health equity nationwide," said Marty Elisco, CEO of Augintel. "Augintel and AWS share a commitment to harnessing the power of technology to help address longstanding social and structural disparities and improve outcomes for underserved communities."
Another intended use of Augintel's cloud-based solution is for clinicians, who need to review an overwhelming amount of information buried within notes and health records, taking up time that could instead be spent interacting directly with those they serve. NLP can reduce this burden, saving clinicians time by automatically pulling out critical data about risk factors, strengths, and social determinants of health. This provides clinicians a more holistic view of an individual with the aim of improving the care they provide.
"AWS believes individual health outcomes should not depend on socioeconomic status, race, ethnicity, or neighborhood," said Maggie Carter, Global Lead, Social Impact at AWS. "Cloud technology can help address the inequities in global health that have been amplified by the pandemic. Through this program, we look forward to helping Augintel use AWS to advance health equity and improve health outcomes."
As further acknowledgement of its demonstrated experience in delivering quality solutions for government agencies, Augintel recently joined the AWS Public Sector Partner Program.
Augintel products are available for purchase in AWS Marketplace.
To learn more about the AWS Health Equity Initiative, visit https://aws.amazon.com/health/health-equity.
About Augintel
Augintel is a health and human services-focused software development company focused on solving longstanding problems with data — specifically, narrative unstructured data. We have pioneered the development of natural language processing (NLP) in our field to make narrative data accessible, searchable and actionable for staff across the organization – from front line clinicians to supervisors, quality managers and leaders. We understand that NLP products are field-specific and must be built from the ground up and tailored to specific practices in order to be successful.
Media Contact
Kate Elisco, Augintel, 1 312-480-6780, [email protected]
SOURCE Augintel
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