Building a protocol expressway: the case of Mayo Clinic Cancer Center

Terre A McJoynt1, Muhanad A Hirzallah, Daniel V Satele

  • 1Cancer Center Clinical Research Office, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA. mcjoynt.terre@mayo.edu

Abstract

Insights

Streamlining clinical trial protocol development using the Define, Measure, Analyze, Improve, Control (DMAIC) framework and Lean methodologies significantly reduced turnaround times for both internal and external protocols, accelerating patient access to new treatments.

Area of Science:

  • Clinical research operations
  • Process improvement methodologies
  • Healthcare systems engineering

Background:

  • Nonstandard processes in clinical trial protocol development lead to delays, errors, and increased workload.
  • These inefficiencies result in sponsor dissatisfaction and limit patient access to novel therapies.

Purpose of the Study:

  • To improve the efficiency and reduce the turnaround time of clinical trial protocol development.
  • To address inconsistencies, redundancies, and rework in the protocol development process.

Main Methods:

  • A multidisciplinary team at Mayo Clinic was assembled to review and optimize the protocol development process.
  • The Define, Measure, Analyze, Improve, Control (DMAIC) framework was integrated with Lean waste-reduction principles.
  • Improvements focused on enhancing first-time quality and implementing a first-in/first-out workflow.

Main Results:

  • Mean turnaround time for internally authored protocols decreased from 25.00 to 10.15 weeks (P < .001).
  • Mean turnaround time for externally authored protocols decreased from 20.61 to 7.79 weeks (P < .001).
  • The implemented changes significantly improved process efficiency and reduced delays.

Conclusions:

  • The DMAIC framework, combined with Lean methodologies, provides an effective structure for implementing substantial process improvements.
  • This approach successfully reduced clinical trial protocol development timelines, benefiting all stakeholders and patients.

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