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Updated: Feb 6, 2026

Procurement for a Vascularized and Reinnervated Abdominal Wall Allotransplantation
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The Value Proposition for Complex Abdominal Wall Reconstruction: How to Make It Work.

Bruce Ramshaw1, Brandie Forman1, Elizabeth Barker1

  • 1From the Department of Surgery, University of Tennessee Medical Center, Graduate School of Medicine; and Department of Mechanical, Aerospace and Biomedical Engineering, Tickle College of Engineering, University of Tennessee.

Plastic and Reconstructive Surgery
|August 24, 2018
PubMed
Summary

Improving value in healthcare, especially for complex abdominal wall reconstruction, requires systems and data science. Applying these tools can enhance patient care outcomes and reduce costs throughout the entire care cycle.

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Area of Science:

  • Health Services Research
  • Data Science in Medicine
  • Surgical Outcomes

Background:

  • Healthcare faces challenges in measuring and improving value across patient care.
  • Abdominal wall reconstruction is a complex procedure with high costs and variable outcomes, presenting an opportunity for value improvement.

Purpose of the Study:

  • To apply systems and data science principles to enhance value in abdominal wall reconstruction.
  • To identify key areas for improvement in the patient care cycle for this procedure.

Main Methods:

  • Utilized systems and data science tools, including clinical quality improvement and factor analysis, over a decade.
  • Focused on measuring and improving the value of care throughout the entire patient journey.

Main Results:

  • Implemented strategies such as cost-effective mesh, multimodal pain management, enhanced recovery protocols, and surgical technique improvements.
  • Reduced wound complications and eliminated the need for abdominal wall drains.
  • Identified prehabilitation programs, including cognitive therapy, as a method to further improve outcomes.

Conclusions:

  • Improving value for abdominal wall reconstruction patients is crucial for the broader healthcare system.
  • Effective application of systems and data science is essential for achieving this goal.