Category: Healthcare IT

Top 10 Artificial Intelligence Companies in Healthcare Market

Healthcare Artificial intelligence can be defined as the science and engineering adopted to design intelligent machines, especially intelligent computer programs that are utilized by the healthcare industry in applications such as patient data and risk analytics, medical imaging and diagnosis, drug discovery, precision medicine, hospital workflow management, and patient management. Here are the Top 10 […]

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Top 10 Companies In Medical Image Management Market

In modern medical practices and healthcare systems, digital imaging technologies have become an essential and powerful tool for diagnosis, treatment, and surgery. In addition, healthcare organizations are also increasingly investing in advanced medical imaging technologies that produce increasingly large and complex data files. This results in greater need to implement image management tools that can […]

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Top 10 companies in VNA & PACS market

Healthcare organizations are increasingly investing in advanced medical imaging technologies that produce increasingly large and complex data files. This results in greater need to implement infrastructure tools that can support the storage and provide appropriate access of necessary medical images and patient records. Picture archiving and communication systems (PACS) and vendor neutral archives (VNAs) are […]

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Top 10 companies in Healthcare Analytics Market

Healthcare analytics is the extensive use of data, statistical and quantitative analysis, and emerging analytical models such as comparative, cognitive, and predictive modeling that help reveal and understand historical data patterns, predict future events and prescribe the best course of action. The amount of data in healthcare is increasing at an astonishing rate. To improve […]

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Top 10 Companies in Laboratory Informatics Market

Laboratory informatics solutions help to reduce manual efforts, labor cost, cost of error, and throughput time; offer paperless information management and effective data analytics; improve data traceability, accessibility, security and sharing; streamline processes; enhance quality management; abide by the regulatory requirements; and provide better control of all business processes and decision support. Thus, automation of […]

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