Analytics plays an important role for many healthcare organizations, from reducing operational costs, optimizing IT systems and infrastructure, and helping clinicians make the best decisions for their patients.
Though, for many in the healthcare industry, the problem is that managing a successful analytics program can easily become overwhelming. For starters, analytics either requires a disproportionate amount of hours or materials, which in some instances can increase the possibility that something will be done wrong. In addition, organizations might be using the completely wrong tools, while others may have the right tools but are using them the wrong way.