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Research unit network (RUN) as a learning research system.

Alejandro P Comellas1,2, Jackline M Wangui-Verry1, Kimberly J Sprenger1

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|May 1, 2023
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Summary
This summary is machine-generated.

The Research Unit Network (RUN) facilitates collaboration among clinical research units (CRUs) to share best practices and develop performance benchmarks. Monthly meetings are highly valued for discussing CRU operations, budgeting, and staffing.

Keywords:
CTSAtsaRUNclinical research unitslearning research systemresearch unit network

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Area of Science:

  • Clinical Research Operations
  • Translational Science
  • Healthcare Management

Background:

  • Clinical research units (CRUs) are central to translational science but lack standardized operational best practices and performance benchmarks.
  • Effective CRU operations are crucial for advancing medical research and patient care.

Purpose of the Study:

  • To establish the Research Unit Network (RUN) for fostering communication and collaboration among CRUs.
  • To identify and share best practices in CRU operations.
  • To develop national benchmarks for evaluating CRU performance.

Main Methods:

  • An online survey was distributed to members of the Research Unit Network (RUN).
  • Thirty-one survey responses were analyzed to assess the network's functionality and impact.
  • Key discussion topics and perceived value of network activities were evaluated.

Main Results:

  • RUN monthly meetings were highly valued (87.1%) by members.
  • CRU budgeting (67.7%) and staffing (61.3%) were the most discussed topics.
  • Other relevant topics included EPIC - Research, operational policies, pandemic response, clinical trial management systems, and protocol deviations.

Conclusions:

  • The RUN network effectively facilitates the sharing of operational best practices among CRUs.
  • Continued collaboration through RUN is expected to lead to the development of standardized performance benchmarks for CRUs nationwide.
  • Enhancing CRU operations through shared knowledge can improve the efficiency and impact of clinical research.