Does Your Healthcare Organization Have the Chops for Machine Learning?

Machine learning and cloud computing are two of the fastest growing technologies in healthcare. Increased focus on accountable care and a growing trove of generated health data have forced many organizations to rethink their health IT infrastructure and embrace new innovations as part of their overall clinical and financial strategy. Harnessing the power of cloud and machine learning has become a distinct, competitive advantage for data-driven healthcare organizations looking to glean richer insights in a timely and more cost-efficient manner. Employing machine-learning algorithms allows organizations to piece together fragmented, often disconnected sources to gain predictive, actionable data insights across the enterprise. While advances in cognitive computing are helping organizations map care pathways and processes, reduce costs in care and garner patterns in patient data to treat and diagnose with greater accuracy, the task of implementing machine-learning projects comes with its challenges.