With hospitals struggling to retain staff and value-based care shrinking healthcare revenues, health systems must look to technology resources to become more efficient, without losing sight of patient care or staff support.
While conversational AI is presently top of mind for every healthcare CIO, many are focused on short-term initiatives that will quickly improve operations, generate immediate ROI, and have a direct impact on the bottom line. But figuring out where to begin – identifying reliable solution partners who have extensive references, those with the proven ability to provide immediate improvements to operational efficiency, as well as deliver transformative digital health solutions as the health system infrastructure becomes ready for the change – is a challenge. How long will it take for the health system to start seeing ROI on the expenditure? How can decision-makers feel confident that workforce challenges like personnel shortages and staff burnout will improve, and that patient satisfaction will go up, not down? This is why healthcare executives are losing sleep!
Taking a pragmatic, phased approach to implementing conversational AI is affordable and can make things better for most health systems in as little as 30 days. Answering the phone and navigating a caller to the right resource is a complex process in a large health system. This complexity may explain why so few organizations do it well. An outdated, clumsy process for answering and navigating calls equals revenue leakage and wasted labor! Underperformance has huge cost implications because this process happens millions of times each year across the network of care. To create friction-free self-service for a diverse calling community requires the right technology and a robust routing engine that enables seamless communication across a large enterprise with entrenched silos.
