Eko, a Berkeley-based digital health company applying artificial intelligence and machine learning in the fight against heart disease unveiled an investigational Aortic Stenosis (AS) detection algorithm at the American Society of Echocardiography (ASE) 2019 Scientific Sessions aimed to assist healthcare providers in the early detection of clinically significant AS. The algorithm represents a major step forward toward Eko’s mission to empower healthcare providers with tools to more accurately
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Healthcare Algorithms | News, Analysis, Insights - HIT Consultant
Prognos, Datavant Partner to Use Health Data Ecosystem to Enhance AI Analytics for Customers
Prognos, an AI-powered analytics for early tracking and prediction of disease, today announced that it will partner with Datavant, the company helping healthcare organizations safely connect their data. Prognos will be able to harness Datavant's comprehensive ecosystem in delivering analytics solutions, expanding the data that customers can readily access to better inform clinical decisions, identify risk, enhance care quality, and improve patient outcomes.In order to determine and predict
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Remote Enablement Adoption: The Key to Reshaping Patient Monitoring
The healthcare industry is facing significant pressures around costs and outcomes as it shifts to a value-based care model. To alleviate these concerns, hospitals are looking to technology to help. Over the years, technology has significantly evolved with more connectivity, advanced algorithms and introduction of machine learning and AI. These advancements have greatly improved efficiencies and outcomes in the healthcare industry, yet, along with these benefits, technology also brings a concern
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Can Artifical Intelligence Solve The Chronic Kidney Disease Epidemic?
Chronic kidney disease (CKD) is a growing epidemic worldwide. Currently, there are 850 million individuals suffering from CKD globally, with 40 million in the United States alone. Of these individuals, 96 percent are not aware of having CKD, as kidney disease often exhibits no symptoms until it has progressed to a late stage.
As this epidemic continues to grow, healthcare providers and organizations are working to determine how artificial intelligence (AI) can be used to analyze electronic
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Care Management Platform VirtualHealth Closes Series B Round to Fuel Growth
VirtualHealth, a NYC-based care management platform, today announced it has closed a Series B financing round bringing the total amount raised by the company to more than $25 million. Led by Edison Partners and existing investors, the latest funding provides strategic capital to fuel the company’s rapid growth and product innovations.One Platform for the Entire Care TeamFounded in 2012, the VirtualHealth HELIOS solution is the first comprehensive care management platform purpose-built to provide
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Mount Sinai Launches Center for Artificial Intelligence and Human Health
The Icahn School of Medicine at Mount Sinai today announced the launch of a new center dedicated to advancing the delivery of health care through research, development, and implementation of innovative artificial intelligence tools and technologies. The Hamilton and Amabel James Center for Artificial Intelligence and Human Health in Manhattan to combine artificial intelligence with data science and genomics in a standalone site. The building will enable researchers to enhance their
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Tempus, Leidos Biomedical Research Inc. Launch Effort to Enhance The Cancer Genome Atlas
Tempus, a technology company advancing precision medicine through the collection and analysis of molecular and clinical data at scale announced today that it was selected by Leidos Biomedical Research Inc. (Leidos Biomed) to abstract and structure follow-up clinical data for The Cancer Genome Atlas (TCGA) Project for submission to the National Cancer Institute’s Genomic Data Commons (GDC).The Cancer Genome Atlas (TCGA) Project BackgroundThere are 230 distinct investigators that contributed
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3 Things Patients Want From Their Healthcare Financial Experience
In most healthcare organizations, basic automation is used to complete individual revenue cycle tasks. Seldom, however, is technology used to optimize entire revenue cycle management (RCM) processes and improve the patient financial experience.
The situation is dramatically different outside of healthcare in industries that have long competed for direct consumer dollars.
To book an airline flight, for example, consumers simply open up an app or a website. At their convenience — any time of day
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Innovaccer, Launches InAPI to Aggregate Healthcare Data for Providers, Payers, and Vendors
Healthcare organizations are riding the wave of digital disruption with increased adoption of applications to power patient centric-care, communications, and collaboration with peer organizations in the network. With this objective, they are seeking to integrate crucial information across the care continuum and establish interoperability among complex and disparate data systems- including legacy systems.Existing Interoperability ChallengesThere are over 200 EHRs in the US healthcare space,
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EarlySign Unveils Commercial Availability of AI Diabetes Risk Predictors Algorithm
Medial EarlySign – an Israeli health AI company
has just announced the commercial availability of its first suite of machine
learning-based predictive diabetes risk solutions. Expanding the company’s
portfolio of clinical risk predictors, these new diabetes-focused AlgoMarkers
are designed to help healthcare systems identify and engage patients at high
risk for diabetes and downstream
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