Using AWS ML and AI for Smarter Medical Coding
Medical coding plays a key role in the healthcare industry. It enables both providers and payors to describe diagnoses and treatments, and to determine the associated costs and reimbursements. It’s also complicated, time-consuming, and prone to errors. A recent collaboration between ClearScale, AWS, and Creative Practice Solutions, a medical consulting firm, has yielded an application prototype to help overcome those issues. Powered by AWS artificial intelligence (AI) and machine learning (ML) services, the app translates recorded medical appointment notes
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Machine learning-enabled medical image analysis. Prosthetics customized for individual patient comfort and performance courtesy of 3D printing. Context-aware, real-time communication platforms. Virtual Reality (VR) tools that enable medical students to experience and learn from life-and-death scenarios in low-stakes environments. They’re among the numerous examples of technology pushing healthcare to new levels of efficiency and sophistication. In many cases, the technologies driving these innovations are cloud-based. That’s good and, in the minds of some healthcare organizations, not so good
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