ClearScale Blog

Medical coding plays a key role in the healthcare industry. It enables both providers and payors to describe diagnoses and treatments and 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. In the first blog of this two-part series, we discuss that prototype. The second blog will discuss some of

Machine learning-enabled medical image analysis. Prosthetics customized for individual patient comfort and performance courtesy of 3-D 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