Scaling an Enhanced Recovery Program to an Institution-Wide Initiative: It Takes a Village

Brittany Kruse, Iris Recinos, Jarrod Eska, Ruth Amaku, Thomas Aloia, Margaret Luciano, Vijaya Gottumukkala

Research output: Contribution to journalReview articlepeer-review

1 Scopus citations


Background and Objective: With the inclusion of Enhanced Recovery Programs (ERPs) into routine clinical practice, scaling programs across an institution is important to drive sustainable change in a patient-centric care delivery paradigm. A review of ERP implementation within a large institution was performed to understand key components that hinder or facilitate success of scaling an ERP. Methods: From January 2018 to March 2018, a needs assessment was completed to review implementation of enhanced recovery across the institution. Implementation progress was categorized into one of 5 phases including Define, Implement, Measure, Analyze, and Optimize. Results: Only 25% of service line ERPs reached the optimization phase within 5 years. One hundred percent of respondents reported more strengths (n = 41) and opportunities (n = 41) than weaknesses or threats (n = 25 and 14, respectively). Commonly identified strengths included established enhanced recovery pathways, functional team databases, and effective provider education. Weaknesses identified were inconsistencies in data quality/collection and a lack of key personnel participation including buy-in and time availability. Respondents perceived the need for data standardization to be an opportunity, while personnel factors were viewed as key threats. Conclusion: Identification of strengths, weaknesses, opportunities, and threats could prove beneficial in helping scale an ERP across an institution. Successful optimization and expansion of ERPs require robust data management for continuous quality improvement efforts among clinicians, administrators, executives, and patients.

Original languageEnglish (US)
Pages (from-to)200-206
Number of pages7
JournalQuality management in health care
Issue number3
StatePublished - Jul 2021

All Science Journal Classification (ASJC) codes

  • Leadership and Management
  • Health(social science)
  • Health Policy
  • Care Planning


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