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Utilizing Lean Six Sigma Methodology to Improve the Authored Works Command Approval Process at Naval Medical Center
Michelle M Valdez1, Maureen Liwanag2, Charles Mount3
1Graduate Medical Education Department, Naval Medical Center San Diego, 34800 Bob Wilson Dr., San Diego, CA.
Introduction:
Inefficiencies in the command approval process for publications and/or presentations negatively impact DoD Graduate Medical Education (GME) residency programs' ability to meet ACGME scholarly activity requirements. A preliminary review of the authored works approval process at Naval Medical Center San Diego (NMCSD) disclosed significant inefficiency, variation in process, and a low level of customer satisfaction. In order to facilitate and encourage scholarly activity at NMCSD, and meet ACGME requirements, the Executive Steering Council (ESC) chartered an interprofessional team to lead a Lean Six Sigma (LSS) Rapid Improvement Event (RIE) project.
Materials And Methods:
Two major outcome metrics were identified: (1) the number of authored works submissions containing all required signatures and (2) customer satisfaction with the authored works process. Primary metric baseline data were gathered utilizing a Clinical Investigations database tracking publications and presentations. Secondary metric baseline data were collected via a customer satisfaction survey to GME faculty and residents. The project team analyzed pre-survey data and utilized LSS tools and methodology including a "gemba" (environment) walk, cause and effect diagram, critical to quality tree, voice of the customer, "muda" (waste) chart, and a pre- and post-event value stream map. The team selected an electronic submission system as the intervention most likely to positively impact the RIE project outcome measures.
Results:
The number of authored works compliant with all required signatures improved from 52% to 100%. Customer satisfaction rated as "completely or mostly satisfied" improved from 24% to 97%. For both outcomes, signature compliance and customer satisfaction, statistical significance was achieved with a p < 0.0001.
Conclusion:
This RIE project utilized LSS methodology and tools to improve signature compliance and increase customer satisfaction with the authored works approval process, leading to 100% signature compliance, a comprehensive longitudinal repository of all authored work requests, and a 97% "completely or mostly satisfied" customer rating of the process.
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