New Tech for Your Health Center’s Revenue Cycle: Robotic Processes, Machine Learning, AI, and More

Data in health care is exploding. A recent report published by Seagate projects that health care data will experience a compound annual growth rate of 36 percent by 2025 and that the health care data sphere is expected to grow 13 percent faster than other industries. The report goes on to state that “hypercritical data” is expected to more than double every other year. The phrases big data, machine learning, and artificial intelligence (AI) are everywhere and there’s a tangible gap between those who understand what they actually mean and how to benefit from them, and those who don’t. The largest health data companies in the world are building tools for clinical operations performance improvement, clinical decision support, consumer/patient engagement, and more. But who has their eye on revenue cycle data that can be used to improve efficiencies, cut costs, and increase collections? Attend this session to learn which data sources are “hypercritical” to your billing and revenue cycle team, and how to apply these technologies to maximize efficiency and cash collections.