Using data analytics to identify revenue at risk
Thayer, C.; Bruno, J.; Remorenko, M.B.
Healthcare Financial Management Journal of the Healthcare Financial Management Association 67(9): 72-78; 80
2013
ISSN/ISBN: 0735-0732 PMID: 24050056 Document Number: 671265
Key factors for successfully using data analytics to improve revenue cycle performance include the following: Senior leaders who engage physicians and work with business unit owners to gain ground-level insights. Communication and learning. Embedded analytics. Transparency related to what the data show, how the data will be used, and what items have been brought to light via data analysis. Real-time monitoring of data. Incorporation of staff feedback in continually improving analytical modeling capabilities.