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Cost model for biobanks.

M Beatriz Gonzalez-Sanchez1, Ernesto Lopez-Valeiras, Manuel M Morente

  • 11 Faculty of Business Administration and Tourism; University of Vigo, Campus of Ourense , Spain .

Biopreservation and Biobanking
|May 20, 2014
PubMed
Summary

This study introduces a cost accounting model for biobanks, essential for assessing the economic viability of biomedical research infrastructures. The model helps analyze costs and value stored biological samples.

Area of Science:

  • Biomedical Research Infrastructure Management
  • Health Economics
  • Biobanking Operations

Background:

  • Increasing budget constraints necessitate economic viability analysis for publicly funded biomedical research infrastructures.
  • Lack of specific cost accounting models for biobanks in scientific literature.
  • Biobanks store diverse human biological samples, complicating cost analysis due to varied processing needs.

Purpose of the Study:

  • To present a foundational cost analysis model applicable to any biobank.
  • To address the need for a standardized cost accounting framework in biobanking.
  • To provide tools for economic evaluation of biobank operations and sample collections.

Main Methods:

  • Identified common basic steps across diverse biobank production processes.

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  • Developed a cost model based on six stages and four cost objects derived from the Spanish National Biobank Network.
  • Provided templates and examples for cost identification and classification within biobanks.

    • Main Results:

    • The proposed model enables detailed cost analysis for each stage of biobank sample production.
    • Facilitates accurate cost object identification and classification.
    • Offers a methodology for assigning economic value to stored biological samples.

    Conclusions:

    • The cost analysis model provides crucial economic insights for biobank management.
    • Enables evaluation of production process efficiency and financial viability of sample collections.
    • Supports informed decision-making in resource allocation for biomedical research infrastructures.