Open AccessThe financial impact of an Enhanced Recovery Protocol in colo-rectal surgical care
Author(s) -
Nathan Johnson,
Sandy Fogel
Publication year - 2015
Publication title -
journal of hospital administration
Language(s) - English
Resource type - Journals
eISSN - 1927-7008
pISSN - 1927-6990
DOI - 10.5430/jha.v5n2p23
Subject(s) - medicine , protocol (science) , profitability index , operations management , emergency medicine , surgery , finance , business , alternative medicine , pathology , economics
Objective: Enhanced Recovery Protocols (ERPs) have been shown in many different settings to lead to quicker recovery for most patients, with a significantly reduced average length of post-operative stay (LOS). A less studied impact of ERPs has been their effect on hospital profitability. While these protocols are resource-intensive and expensive to implement, we argue that they can lead to significantly improved margins. This can be attributed to fewer complications and, more significantly, reductions in LOS resulting in increased patient capacity.Methods: Our ERP was implemented in June of 2014. The protocol was initially used only for colo-rectal cases, both elective and emergent. It contained over 20 pre-, intra-, and post-operative elements of surgical care. One year of data from the ERP cases was compared to contemporaneous controls that did not go through the ERP. Financial data was obtained from the hospital cost accountant. Average LOS was obtained from the EHR.Results: Patients who underwent colo-rectal procedures and participated in the ERP had an average LOS of 5.60 days, while controls stayed for an average of 8.51 days. Financial analysis determined that a full year of compliance with Enhanced Recovery After Surgery (ERAS) protocols added over 2 million dollars to the margin for a return on investment (ROI) of over 10 to 1, mainly by increasing hospital capacity and allowing more admissions.Conclusions: The results demonstrate that ERPs significantly reduce LOS, increasing hospital patient capacity. The higher patient load more than recoups ERP costs. Further collection and analysis of data aims to determine the effect on complications, which also have cost saving potential.