학술논문

Setting the revenue cycle up for success in automation and AI.
Document Type
Article
Source
McKinsey Insights. 7/25/2023, pN.PAG-N.PAG. 1p.
Subject
*Artificial intelligence
*Automation
*Health insurance companies
*Technological innovations
Translators
Voice recognition software
Language
Abstract
Learning from successes While it may take some time before robust gen AI solutions become commercially available in healthcare - and even longer for enterprise scalable products to be usable in revenue cycle management - health systems can begin to prepare now since these technologies will be imperative to performance in the future. Support of the new technology with ecosystem elements A technology solution is unlikely to yield the desired outcomes if it is dropped into entrenched tech environments, processes, and ways of working without accounting for the broader technology ecosystem. Now, with the emergence of gen AI technologies, health systems are at risk of missing an early window to set the stage to realize value from it in administrative processes unless they reconsider their approach. One critical move is to structure and streamline the system's technology ecosystem, from vendors all the way down to health system data. [Extracted from the article]

Online Access