Strategic adoption trends for automation across the revenue cycle

Amy Raymond
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Amy Raymond: AKASA, USA

Management in Healthcare: A Peer-Reviewed Journal, 2023, vol. 7, issue 2, 112-120

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.

Keywords: revenue cycle management; RCM; revenue cycle automation; artificial intelligence; machine learning; robotic process automation; patient financial experience (search for similar items in EconPapers)
JEL-codes: I1 I10 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:aza:mih000:y:2023:v:7:i:2:p:112-120

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