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Background <p>We developed, introduced, and evaluated Molecular ONcology Optimized CLinical Evaluation (MONOCLE), a secure, open-source web application at the University Medical Center Hamburg-Eppendorf (UKE), to optimize the analysis and discussion of complex cancer cases in molecular tumor boards (MTB).</p> Objective <p>MONOCLE standardizes and harmonizes documentation, while its integrated Knowledge Connector accelerates literature research for personalized treatment.</p> Patients and Methods <p>The system was designed by merging the requirements of the German Network for Personalized Medicine (DNPM), the medical staff involved in the MTB process, and the team developing MONOCLE. The usability was evaluated using the System Usability Scale (SUS) and user tasks. Overall process optimization was measured by the number of automated tasks that can be performed.</p> Results <p>MONOCLE, introduced into clinical practice in June 2024, significantly reduces time for documentation, as three manual steps now run automatically, and transfer of the data to the DNPM is possible. Its usability and SUS showed positive results, ranging between 92.5 and 97.5.</p> Conclusions <p>As the first open-source and extendable solution for standardized MTB documentation, MONOCLE enables wider adoption by other medical centers.</p>

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Streamlining and Accelerating the Molecular Tumor Board Process at the University Medical Center Hamburg-Eppendorf

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月17日

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  • Layla Tabea Riemann,
  • Maximilian Ataian,
  • Felicia P. S. Hähner,
  • Benjamin Roth,
  • Alexander Knurr,
  • Anne Kamitz,
  • Maximilian Christopeit,
  • Carsten Bokemeyer,
  • Frank Ückert

摘要

Background

We developed, introduced, and evaluated Molecular ONcology Optimized CLinical Evaluation (MONOCLE), a secure, open-source web application at the University Medical Center Hamburg-Eppendorf (UKE), to optimize the analysis and discussion of complex cancer cases in molecular tumor boards (MTB).

Objective

MONOCLE standardizes and harmonizes documentation, while its integrated Knowledge Connector accelerates literature research for personalized treatment.

Patients and Methods

The system was designed by merging the requirements of the German Network for Personalized Medicine (DNPM), the medical staff involved in the MTB process, and the team developing MONOCLE. The usability was evaluated using the System Usability Scale (SUS) and user tasks. Overall process optimization was measured by the number of automated tasks that can be performed.

Results

MONOCLE, introduced into clinical practice in June 2024, significantly reduces time for documentation, as three manual steps now run automatically, and transfer of the data to the DNPM is possible. Its usability and SUS showed positive results, ranging between 92.5 and 97.5.

Conclusions

As the first open-source and extendable solution for standardized MTB documentation, MONOCLE enables wider adoption by other medical centers.