Our paper investigates the impact of different adoption patterns of EMR components on hospital performance. It distinguishes between co-adoption, partial-sequence adoption, and sequential adoption. We use hospital data in the U.S., spanning 2008 to 2017, and include variables such as total operating expenses, mortality rate, average length of stay, and patient experiential quality indicators as the dependent variables. We employed Bayesian linear regression and conducted additional sensitivity analyses. The findings suggest that co-adoption is more beneficial for care quality and patient experience but does not result in cost savings.