{"title":"Python在提高放疗科工作效率和促进开源软件利用中的作用","authors":"R.S. Chauhan , A. Munshi , A. Pradhan","doi":"10.1016/j.clon.2025.103897","DOIUrl":null,"url":null,"abstract":"<div><h3>Aim</h3><div>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.</div></div><div><h3>Materials and Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusion</h3><div>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.</div></div>","PeriodicalId":10403,"journal":{"name":"Clinical oncology","volume":"45 ","pages":"Article 103897"},"PeriodicalIF":3.0000,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Role of Python in Enhancing Radiotherapy Department Workflow Efficiency and Promoting Open-source Software Utilisation\",\"authors\":\"R.S. Chauhan , A. Munshi , A. Pradhan\",\"doi\":\"10.1016/j.clon.2025.103897\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Aim</h3><div>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.</div></div><div><h3>Materials and Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusion</h3><div>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.</div></div>\",\"PeriodicalId\":10403,\"journal\":{\"name\":\"Clinical oncology\",\"volume\":\"45 \",\"pages\":\"Article 103897\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0936655525001529\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical oncology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0936655525001529","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
The Role of Python in Enhancing Radiotherapy Department Workflow Efficiency and Promoting Open-source Software Utilisation
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.
期刊介绍:
Clinical Oncology is an International cancer journal covering all aspects of the clinical management of cancer patients, reflecting a multidisciplinary approach to therapy. Papers, editorials and reviews are published on all types of malignant disease embracing, pathology, diagnosis and treatment, including radiotherapy, chemotherapy, surgery, combined modality treatment and palliative care. Research and review papers covering epidemiology, radiobiology, radiation physics, tumour biology, and immunology are also published, together with letters to the editor, case reports and book reviews.