MasterControl in the News

Healthcare facilities and providers are the beneficiaries of impressive advances in therapeutic technologies that push the boundaries of what’s possible in patient care. Wearable devices have evolved from tracking personal fitness statistics to functioning as a direct conduit from patients to providers for diagnostic, monitoring, and treatment analysis. Artificial intelligence (AI) is currently a major driver of imaging, diagnosis, and treatment of oncology-, cardiac-, and diabetes-related conditions, among many others. Given the nature of these evolving treatment technologies, the need for more data, computing power, and bandwidth is growing exponentially. That said, the ecosystem for developing breakthrough healthcare products calls for advanced manufacturing technologies and strategies. Picture a manufacturing operation with end-to-end digitization and a manufacturing execution system (MES) on every product line and in every site. Then add the full integration of all your other management systems, such as enterprise resource planning (ERP), quality management system (QMS), laboratory information management system (LIMS), etc., providing complete visibility up and down the supply chain. Using advanced data analytics within MES software equips you with the necessary information to identify actual cycle times and exactly how long it takes to execute a device history record (DHR), making the production schedule complete and more accurate. With the easy retrieval of data from a single source, you can also more easily determine how to change processes to continually improve production and optimize lead times.

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