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Joyce C Niland1, Tracey Stiller, James Cravens

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Area of Science:

  • Operations research applications in biological material distribution.
  • Human pancreas procurement and islet isolation logistics.

Background:

  • Pancreatic islets are vital for research and type 1 diabetes cell replacement therapy.
  • The Islet Cell Resource Center Consortium (ICRCC) coordinates global islet distribution.
  • Efficient and reliable islet distribution systems are crucial for scientific advancement and patient care.

Purpose of the Study:

  • To assess the effectiveness of the Matching Algorithm for Islet Distribution (MAID).
  • To compare the automated MAID system with the previous manual islet distribution process.
  • To evaluate the impact of MAID on the consistency and accuracy of islet allocation.

Main Methods:

  • Comparative analysis of islet distribution data pre- and post-MAID implementation.
  • Utilized the investigator's received-to-requested islet ratio as a key performance indicator.
  • Evaluated changes in islet supply, demand, and distribution consistency.

Main Results:

  • Despite increased islet supply, the median received-to-requested ratio remained ~60% due to rising demand.
  • MAID significantly reduced variation in the received-to-requested ratio.
  • The algorithm substantially decreased instances of over-distribution (up to 4x requested amount).

Conclusions:

  • Automated web-based cell distribution systems, like MAID, enhance efficiency and consistency.
  • MAID optimizes human pancreatic islet delivery by improving the matching process.
  • This study provides the first evidence for the effectiveness of automated islet distribution systems.