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Войти в исследования Clinical oncology (Royal College of Radiologists (Great Britain)) · 2025
The Role of Python in Enhancing Radiotherapy Department Workflow Efficiency and Promoting Open-source Software Utilisation.
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Chauhan R S, Munshi A, Pradhan A
Аннотация
AIM: This review aims to explore the role of Python in enhancing the efficiency and effectiveness of radiotherapy department workflows and to examine its contribution to the adoption of open-source software (OSS) in healthcare.
MATERIALS AND METHODS: A comprehensive analysis of current research and applications of Python-based tools in radiotherapy was conducted, focussing on automation, data accuracy, and treatment planning optimisation. The review also considered the challenges associated with integrating Python in clinical settings and the solutions proposed to address these issues.
RESULTS: Python was found to significantly improve workflow efficiency in radiotherapy by automating complex processes, reducing errors, and facilitating personalised treatment planning. Additionally, Python's alignment with OSS initiatives has supported the development of adaptable and cost-effective healthcare solutions, despite challenges in data standardisation and interoperability.
CONCLUSION: Python has a transformative impact on radiotherapy practices, driving advancements in workflow efficiency and supporting the adoption of OSS. Addressing existing challenges will be crucial to fully realising the benefits of Python in delivering high-quality, patient-centred care in radiotherapy departments.
MATERIALS AND METHODS: A comprehensive analysis of current research and applications of Python-based tools in radiotherapy was conducted, focussing on automation, data accuracy, and treatment planning optimisation. The review also considered the challenges associated with integrating Python in clinical settings and the solutions proposed to address these issues.
RESULTS: Python was found to significantly improve workflow efficiency in radiotherapy by automating complex processes, reducing errors, and facilitating personalised treatment planning. Additionally, Python's alignment with OSS initiatives has supported the development of adaptable and cost-effective healthcare solutions, despite challenges in data standardisation and interoperability.
CONCLUSION: Python has a transformative impact on radiotherapy practices, driving advancements in workflow efficiency and supporting the adoption of OSS. Addressing existing challenges will be crucial to fully realising the benefits of Python in delivering high-quality, patient-centred care in radiotherapy departments.