ESTRO 2025 - Abstract Book

S2272

Interdisciplinary – Health economics & health services research

ESTRO 2025

Results: The semi-structured interviews revealed 8 key domains that should be included in the framework; intended use, data management, training data, safety, ethics, vendor support, regulatory compliance, cost-effectiveness, cost benefit assessment, compatibility with existing systems and evidence base. The final framework consisted of 97 criteria. These criteria were compiled in an electronic framework as suggested by the participants to facilitate collaboration between the different entities and assignment of responsibilities (Fig.2). Out of the 97 criteria evaluated, 96 were included in the final framework. The participants stated that the electronic framework was easy to use and could streamline the complex procurement process.

Fig.2: One of the evaluation steps in the electronic framework.

Conclusion: Overall, participants expressed confidence in the framework's ability to facilitate a safe, chronological, and comprehensive procurement process for AI solutions in healthcare. However, pilot testing is needed to assess the usability of the proposed framework in a real-life setting.

Keywords: Artificial Intelligence, Procurement, Guidelines

References: [1] Kalsi S, French H, Chhaya S, Madani H, Mir R, Anosova A, et al. The Evolving Role of Artificial Intelligence in Radiotherapy Treatment Planning—A Literature Review. Clin Oncol 2024;36:596–605. https://doi.org/10.1016/J.CLON.2024.06.005. [2] Boulkedid R, Abdoul H, Loustau M, Sibony O, Alberti C. Using and Reporting the Delphi Method for Selecting Healthcare Quality Indicators: A Systematic Review. PLoS One 2011;6:e20476. https://doi.org/10.1371/JOURNAL.PONE.0020476.

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