Hospitals and health systems throughout the country are constantly looking for ways to streamline finances and fine tune operating margins. Many are now looking outside the box for solutions to help increase their operating revenue and combat the continued pressure to stretch budgets to include data security, attracting top talent and facility upgrades. Artificial Intelligence (AI), as an example, is showing promising results in healthcare to more effectively address revenue cycle inefficiencies. AI has penetrated nearly every touchpoint in medicine, from the way emergency medical technicians (EMTs) are dispatched to assisting physicians during surgery. AI is enabling smart devices to detect cancer or a stroke, and consumers can even get help to quit smoking or address opioid addictions with the help of AI. So, it was only a matter of time to apply AI to tackle health revenue cycle inefficiencies.