Abstract
This paper analyses how, while many healthcare organisations are automating portions of the revenue cycle today, there is significant variation in the breadth and depth of automation technology deployed. While robotic process automation (RPA) is helpful, it also has limitations that are easily addressed by more advanced technology, namely artificial intelligence (AI) and machine learning (ML). Identifying best practices for the strategic adoption of advanced revenue cycle automation can help organisations leverage lean processes that reduce the cost to collect, promote strategic customer service tactics and redeploy employees to higher-value tasks that improve the overall patient financial experience.
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