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Epic EHR integration is essential for MedTech companies to boost system compatibility and improve healthcare processes. In a complex medical network, seamless data exchange with Epic is no longer optional, it's a necessity. MedTech companies integrating with Epic can enhance equipment synchronization, optimize data usage, and drive adoption. Let's further discuss how Epic has transformed the outlook of healthcare industry and why MedTech leaders can't ignore the value Epic ecosystem offers.

Epic EHR integration is essential for MedTech companies to boost system compatibility and improve healthcare processes. In a complex medical network, seamless data exchange with Epic is no longer optional, it's a necessity. MedTech companies integrating with Epic can enhance equipment synchronization, optimize data usage, and drive adoption. Let's further discuss how Epic has transformed the outlook of healthcare industry and why MedTech leaders can't ignore the value Epic ecosystem offers.

The aim of the Directory of Open Access Journals is to increase the visibility and ease of use of open access scientific and scholarly journals thereby promoting their increased usage and impact. The Directory aims to be comprehensive and cover all open access scientific and scholarly journals that use a quality control system to guarantee the content. In short a one stop shop for users to Open Access Journals. We define open access journals as journals that use a funding model that does not charge readers or their institutions for access. From the BOAI definition of "open access" we take the right of users to "read, download, copy, distribute, print, search, or link to the full texts of these articles" as mandatory for a journal to be included in the directory.

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The growing demand for digital technology and shifting customer demands have resulted in the increased adoption of artificial intelligence (AI) solutions to manage financial assets and enhance the customer experience. AI solutions are predominantly dependent on machine data that are generated from multiple sources, including data collected from customers and processes. The financial institutions, especially investment banks, have started using AI based analytics solutions to analyze data and identify the correlation & patterns to improve the asset management capability. These technologies are among the prominent solutions to deal with ever-changing financial regulatory & compliance environment to face the associated market risk and understand both income tax & corporate tax laws in an efficient way. AI in financial asset management is also witnessing a strong presence in analyzing consumer behavior patterns to bring new offerings and is finding new distribution channels for the financial institutions that can create a competitive advantage with the use of these technologies. As data-driven financial decision becomes a more prominent factor for increasing profitability, the market is expected to witness increased usage of AI solutions across banks, financial institutions, and insurance firms. Investment banks have been the primary users of the AI technology to improve risk assessment of the customer to optimize portfolios. Furthermore, IoT, cloud technology, edge computing, security-related technology (blockchain), etc. are supporting the market growth. This trend is expected to continue during the forecast period 2019-2025, fueling the market growth at a CAGR of 33.84% to reach revenue of $11.39 billion by 2025.

"The Open Science (or Open Scholarship) movement has been gaining momentum, especially since the European Commission has committed itself to ensuring open access to all funded research in April 2016. Expensive paywalls used by publishers, restrictive usage policies by scientific literature sources, a lack of consistency in the formatting and data locked away by proprietary software have all had detrimental effects on the dissemination of scientific knowledge."