According to the American Medical Association, about 50 percent of practicing doctors are experiencing burnout and EHRs are a significant driver of this problem. For every hour physicians spend on direct patient care, the report indicates that they spend two hours on EHR data entry and other administrative tasks. All of this adds up to more time spent with computers than with patients.
Organizational, regulatory, and technological factors are eroding many physicians’ passion for the profession,
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Artificial Intelligence in Healthcare | News, Analysis, Insights - HIT Consultant
Siemens Healthineers, UM System, MU Health Care Forms $133M Alliance for Precision Health
University Hospital with the Staff for Life Helicopter at dusk.[/caption]Siemens Healthineers and the University of Missouri System (UM System), including all four universities, and University of Missouri Health Care (MU Health Care), has established the Alliance for Precision Health that will leverage their joint expertise to transform healthcare delivery, promote education in the fields of technology and engineering, and develop groundbreaking research initiatives.As part of the alliance,
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Geisinger Selects EarlySign to Apply AI Algorithms to Identify Patients At Risk of Lower GI Disorders
Geisinger Health System announced it is partnering with machine learning solution provider EarlySign to develop AI-based solutions to identify individuals at risk of a range of chronic and high-burden diseases. The multi-year agreement will begin by deploying EarlySign’s LGI Flag through Geisinger’s Steele Institute for Health Innovation – to identify patients at risk of lower gastrointestinal conditions – including colorectal cancer and precancerous adenomas. This partnership follows the
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Waystar Acquires AI Firm Digitize.AI to Tackle Prior Authorizations
Bain-Capital-backed revenue cycle management company Waystar is acquiring Digitize.AI, an artificial intelligence firm, to enable faster and smarter prior authorizations in healthcare – one of the largest pain points for both providers and consumers.Financial Impact of Prior AuthorizationsPrior authorizations, the process by which insurance companies and payers determine if they will cover a prescribed procedure or medication, are meant to help patients avoid surprise bills and unexpected
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Medsphere Integrates CloudMedx AI Engine With CareVue EHR Platform
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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6 Considerations For Creating A Robust Healthcare Data Analytics Program
Healthcare organizations are increasingly turning to data analytics to solve their toughest business challenges. As information becomes less siloed, and technology systems do a better job of both generating and sharing data, organizations are seeing the need to more precisely identify patterns to predict patient needs, anticipate resources and improve processes. There is now as much emphasis on making the data work as there was on collecting data, so it can affect change.
Unfortunately,
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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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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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Pilot Study: Lark Health’s AI-Driven Diabetes Management Program Decreased A1c by 1.1 Points
Lark Health, a chronic disease prevention and management platform has released initial results from a pilot study of its Diabetes Management Program (Lark DMP). After an average of four months, the Lark DMP users reported a significant reduction in A1c levels of 1.1 points, from 8.5 to 7.4 percent.Lark Diabetes Management Program OverviewThe Lark DMP, which uses conversational artificial intelligence (AI), rather than live telephonic nurses, was developed with the collaboration of industry and
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