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Global healthcare data storage market was valued at US$ 3.9 billion in 2023 and is projected to surpass the market valuation of US$ 13.49 billion by 2032 at a CAGR of 14.5% during the forecast period 2024-2032. Rapid Digitization of Healthcare Data: The rapid digitization of healthcare data, fueled by the adoption of electronic health records (EHRs), telemedicine, wearable devices, and remote patient monitoring systems, is driving the demand for healthcare data storage solutions. Healthcare organizations are investing in robust data storage infrastructure to manage, analyze, and share vast amounts of patient data securely and efficiently. Increasing Volume of Medical Imaging Data: The increasing volume of medical imaging data generated from modalities such as magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound is driving the need for high-capacity and high-performance data storage solutions. Healthcare providers require scalable and reliable storage systems to store and retrieve large medical image files for diagnostic purposes and treatment planning. Growing Adoption of Cloud-based Storage Solutions: The growing adoption of cloud-based storage solutions in the healthcare sector is contributing to market growth. Cloud storage offers advantages such as scalability, accessibility, and cost-effectiveness, allowing healthcare organizations to store, backup, and archive healthcare data securely while reducing capital expenditure on hardware infrastructure.

Clinical trials are complex processes that require extensive data collection, analysis, and reporting. In the past, this process was often done with paper-based records. However, with the advent of technology, many organizations have moved to Electronic Data Capture (EDC) systems to improve their clinical trial efficiency and outcomes. Are you thinking about making the switch

It is about accuracy of data for each performance category that matters the most in MIPS. As a MIPS Qualified Registry for the fourth time in a row is a living proof of our past performances and current status. In this article, we got a chance to reflect on a few MIPS data essentials; and thought they would be useful for clinicians before the submission window closes for good.