Date of Conferral

2022

Degree

Doctor of Healthcare Administration (D.H.A.)

School

Health Services

Advisor

Sheryl Richard

Abstract

Despite evidence that the automation of administrative processes may lead to both cost reductions and performance benefits, there was little to no empirical evidence that holistically examined the impact of technology within the healthcare revenue cycle. The purpose of the current quantitative study was to examine the relationship between automated technology expenditure and revenue cycle performance. Correlational analyses were used to determine the relationship between automated technology expenditure and labor, revenue, and denials, respectively, within the revenue cycle of a single, multi entity health system in California. Regression analysis was used to determine the relationship between variables over a 4-year timeframe. The results from correlational analyses revealed a weak, negative relationship between automated technology expenditure and labor that was not statistically significant; however, strong, positive, statistically significant relationships were found between automated technology expenditure and revenue as well as automated technology expenditure and denials. The impact of automation within healthcare administration should be addressed and subsequently adopted on a larger scale than what the nation has in place today. When new technology is introduced, employees tend to view the change with skepticism and have heightened anxiety around job security. As such, findings from the current study may support positive social change through informed decision making when investing in automated technology. Finally, results may aid support open dialogue around the impact of automated technology within the workforce and with respect to financial metrics, aid in the communication of shared goals at all levels, and subsequently support social change at the organizational level.

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