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Healthcare data streams continue to increase exponentially thanks to the influx of information from sensors and medical equipment. This has made clinical data processing increasingly complex. Electronic health records, medical imaging systems and clinical research databases generate a vast amount of data, presenting a formidable challenge for healthcare professionals who need efficient data management, accuracy and security.
Today, data analytics and self-learning artificial intelligence (AI) models have revolutionized how we manage, analyze and use data across industries. The healthcare sector is one where real-time data management and analytics are making major strides.
To tackle the mounting challenges of medical data management, the industry is turning to a patient-centric, data-driven approach, where...
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