Medsphere Systems Corporation, the leading provider of affordable and interoperable healthcare information technology (IT) solutions and services, announced the integration of Artificial Intelligence (AI) capabilities to the company’s comprehensive CareVue electronic health record (EHR) platform. CareVue’s complete clinical and financial suite of applications now include an AI engine developed by CloudMedx that gives clinicians and administrators the power to pull meaningful and actionable
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Machine Learning in Healthcare | ML News, Analysis, Insights - HIT Consultant
Cigna Leads $23M Series D in Specialized AI Company, GNS Healthcare
Today, Cigna Ventures (CV), the corporate venture fund of global health service company Cigna, announced that it’s leading a $23M Series D round of funding in GNS Healthcare (GNS), a highly specialized AI company that turns millions of data streams into personalized insights that precisely match the appropriate clinical care/treatment intervention to the right patient at the right time.Cigna joins other leading carriers and health plans and GNS investors, including Cambia Health Solutions, Echo
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Innovaccer Launches Data Solution to Enable ACOs’ Seamless Transition to Value-Based Care
A survey suggests that 71% of accountable care organizations would rather quit the Medicare Shared Savings Program than assume down risks. Although ACOs are leading the transition from volume-based care to value-based care, a lot of them face the lack of confidence in meeting the quality and cost benchmarks. When ACOs don’t have adequate knowledge and control over the network, earning shared savings can be quite challenging. Data from disparate sources such as EHRs, payer claims, PMS and HIEs
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Can AI Transform Patient Care from Reactive Craft to Strategic Art?
Personalized Analytics is becoming essential in healthcare, stemming from the movement from fee-for-service to a value-based market. The need to preempt and prevent disease on a more personal level, rather than merely reacting to symptoms, has created a significant opportunity for machine learning-based applications. This “analytics of one” approach (using advanced mathematical models and artificial intelligence techniques) is already impacting several key areas:
1. Medical imaging is utilizing
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AI in Healthcare: Enhancing Risk Models to Predict the Future Cost of Care
Traditionally, providers and health systems have relied on claims-based risk models, such as the CMS-HCC, ACG, and DxCG, which were built to forecast the risk of populations, but not at an individual level. While these models give a fairly good estimation of the risk of the population, they exhibit unsatisfactory estimation if used to predict the risk at an individual level.Innovaccer Inc., a healthcare data activation company, has taken a major step towards revolutionizing the way we identify
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Belong.Life Raises $14M to Expand AI-Powered Social Network for Cancer Patients
Belong.Life, creators of the "Belong - Beating Cancer Together" mobile app, the world's largest social network and navigator app for cancer patients, caregivers and healthcare professionals announced it has raised $14M in Series B funding led by IQVI. The Series B round also included participation from The Group Ventures and other existing investors.Founded in 2015 by noted entrepreneurs Eliran Malki, Irad Deutsch and Ohad Rubin after each lost relatives to cancer, Belong - Beating Cancer
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AMA Grants New CPT Code for KidneyIntelX to Support Medicare & Reimbursement
The American Medical Association (AMA) has granted a CPT® Proprietary Laboratory Analyses (PLA) Code for Renayltix AI’s lead product, KidneyIntelX. The new code, 0105U, has been approved and published by the AMA CPT Editorial Panel, and is scheduled to become effective on October 1, 2019.Medicare Price for New CPT CodeA payment rate for the new code will be established for Medicare patients through the 2019 Clinical Lab Fee Schedule (CLFS) Annual Public Meeting process. Renayltix AI will shortly
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Eko Unveils Investigational Aortic Stenosis (AS) Detection Algorithm
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’s Uncertain Future: 3 Data-Driven Approaches for Payers
Nine out of 10 healthcare leaders expect disruptive pressures to increase tremendously in the year ahead, according to a recent survey. However, fewer than half believe their organizations are prepared to withstand these forces.
In an era of transformation—in which traditional business models are continually being revamped in response to pressures such as consumerism, policy changes, and the market entrance of non-traditional healthcare players such as Amazon and Apple—payers face daunting
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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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