放射治疗日益复杂，带来了错误和次优护理的新可能性。因此，高绩效的计划不仅需要遵守关键的安全和质量实践，还需要持续改进。在本文中，我们回顾了这些实践，包括标准化、风险分析、同行评审和维护强大的安全文化，同时还描述了最近的创新和有前途的未来方向。我们特别强调人工智能在放射肿瘤学中日益重要的作用，它既作为提供安全、高质量护理的工具，又作为安全挑战的潜在新来源。版权所有 © 2024 Elsevier Inc. 保留所有权利。

The increasing complexity of radiation therapy treatment presents new potentials for error and suboptimal care. High-performing programs thus not only require adherence to, but also ongoing improvement of, key safety and quality practices. In this article, we review these practices including standardization, risk analysis, peer review, and maintenance of strong safety culture, while also describing recent innovations and promising future directions. We specifically highlight the growing role of artificial intelligence in radiation oncology, both as a tool to deliver safe, high-quality care and as a potential new source of safety challenges.Copyright © 2024 Elsevier Inc. All rights reserved.