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When issues increase, FMEA guides corrective actions. Results: The system improves responsive reporting and targeted RM, halving average steps between incident cause and detection since 2019; critical gaps persist. Conclusion: Real-time analytics strengthen QA barriers and legal compliance, requiring increased RM resources to sustain gains.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/healthcare/","Healthcare",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/enhancing-clinical-safety-in-radiation-oncology-a-data-driven-approach-to-risk-management/437543/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/enhancing-clinical-safety-in-radiation-oncology-a-data-driven-approach-to-risk-management/437543.png","ImageObject",300,407,{"name":42,"@type":43},"Elsa","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-11-06","2026-09-29",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",9,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"What is the purpose of the data-driven risk management strategy in radiation oncology?","Question",{"text":63,"@type":64},"To demonstrate how a data-driven RM approach can use a web-based incident reporting system to enhance clinical risk prioritization, improve patient safety, and support treatment efficiency.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"How does the incident reporting system work and how are incidents reviewed?",{"text":68,"@type":64},"Any staff member can report incidents in real time, including anonymous submissions and detailed incident data. The collected data are discussed in monthly meetings of a dedicated multidisciplinary RM team to decide interventions.",{"name":70,"@type":61,"acceptedAnswer":71},"What did the five-year analysis show about safety barriers and detection timing?",{"text":72,"@type":64},"Analysis assessed how incidents were captured by safety barriers and where errors originated versus where they were detected. After implementing data-driven RM in 2019, the average number of process steps between incident cause and detection could be halved, though critical gaps remained.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},437543,1791081375,{"code":4,"msg":82,"data":83},"success",[84,88,92,96,101,106,110,115,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":93,"show_sort_weight":94,"slug":95},"Exam",70,"exam",{"id":97,"doc_module":4,"doc_module_name":25,"category_name":98,"show_sort_weight":99,"slug":100},5,"Comic",60,"comic",{"id":102,"doc_module":4,"doc_module_name":25,"category_name":103,"show_sort_weight":104,"slug":105},6,"Technology",50,"technology",{"id":107,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":108,"slug":109},7,40,"healthcare",{"id":111,"doc_module":4,"doc_module_name":25,"category_name":112,"show_sort_weight":113,"slug":114},8,"Research & Report",30,"research-report",{"id":55,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":97,"slug":129},19,"General","general",{"code":4,"msg":82,"data":131},{"doc_id":79,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":107,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":111,"language":139,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":12,"update_tm":143,"read_time":117,"preview_page_count":4},137455077381,"https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d","| Original Paper\u003Cbr>Enhancing clinical safety in radiation oncology: A data-driven approach to risk management\u003Cbr>Lukas Sölkner, Dietmar Georg, Uwe Wolff, Andreas Renner, Joachim Widder, Gerd Heilemann 1,⁎ Department of Radiation Oncology, Medical University of Vienna/University Hospital Vienna, Vienna, Austria |  |  |\n| --- | --- | --- |\n| A R T I C L E I N F O |  | A B S T R A C T |\n| Keywords:\u003Cbr>Risk management Data driven Radiotherapy FMEA |  | Purpose: To demonstrate a data-driven risk management (RM) strategy in radiation oncology using an in-house developed web-based incident reporting system. The system leverages real-time analytics to enhance clinical risk prioritization and management, improving patient safety and treatment efficiency.\u003Cbr>Methods: We developed and implemented a web-based incident reporting system that allows any staff member to report incidents in real time, supporting anonymous submissions and capturing detailed incident data. The collected data are followed up in monthly meetings of a dedicated multidisciplinary RM team that decides on respective interventions. Over five years, incident data were analyzed to assess the effectiveness of safety barriers—pre-planning, physics, and pre-treatment checks—in capturing incidents before they impact patient care and safety. The analysis focused on incident frequencies and the workflow steps where errors originated versus where they were detected, highlighting deficiencies and guiding improvements. When specific issues increased, a Failure Mode and Effects Analysis (FMEA) was initiated to identify and prioritize failure modesand implement corrective actions, such as new safety barriers or refining existing safety measures.\u003Cbr>Results: The web-based incident reporting system enhances responsive incident reporting and tailors RM strategies effectively. Data analysis reveals incident frequencies and detection points, identifying errors that bypass safety barriers and enabling targeted countermeasures. Despite safety barriers intercepting many incidents, critical gaps were identified. Since implementing data-driven RM in 2019, the average number of process steps between incident cause and detection could be halved. Resource analysis indicates increased allocation is needed; development required approximately 150 h, and RM averages 20% of a full-time equivalent position. Conclusion: Implementing the web-based incident reporting system has advanced RM in radiation oncology, ensuring legal compliance and enhancing safety through real-time analytics. The system effectively identifies and mitigates risks, strengthening QA barriers as evidenced by decreased time between error origin and detection. Adequate resource allocation is essential to sustain these improvements. Increasing full-time equivalent allocations for RM activities is recommended. |\n\nIntroduction  \nRisk management (RM) in radiation oncology has always been an integral and essential element in an overall quality management system to ensure patient safety. During the last decades, the complexity of imaging and dose delivery technology, the treatment techniques, including fractionation, and the associated workflows have increased enormously. Moreover, today’s image-guided treatment concepts with reduced margins and increasingly applied hypofractionated treatments necessitate an interdisciplinary RM group and a robust incident report-  \ning system to detect and mitigate risks promptly. In light of the transition of clinical practice in radiation oncology towards highly streamlined workflows with AI tools automizing entire processes like auto-segmentation [1,2] or treatment planning [3,4], RM needs to comply with these developments [5] .  \nSeveral traditional procedures like patient-specific quality assurance (PSQA) involving dosimetric verification by either measurements or calculations and patient chart checks are generally accepted and widely implemented methodologies to minimize the risk of treatment errors [6–8] . ","cbCaigF0jVMoF0pG","https://ap.wps.com/l/cbCaigF0jVMoF0pG","pdf",1326751,"English","# Introduction\n## Purpose and rationale for data-driven RM\n## Traditional safety procedures and limitations\n## Incident reporting and learning systems\n## Regulatory context and department process automation\n# Methods and system design\n## Web-based incident reporting workflow\n## Multidisciplinary RM meetings and follow-up\n## Five-year barrier effectiveness analysis\n## FMEA initiation and corrective actions\n# Results\n## Incident frequencies and detection points\n## Gaps despite safety barriers\n## Time reduction between cause and detection\n## Resource and effort estimates\n# Conclusion","[{\"question\":\"What is the purpose of the data-driven risk management strategy in radiation oncology?\",\"answer\":\"To demonstrate how a data-driven RM approach can use a web-based incident reporting system to enhance clinical risk prioritization, improve patient safety, and support treatment efficiency.\"},{\"question\":\"How does the incident reporting system work and how are incidents reviewed?\",\"answer\":\"Any staff member can report incidents in real time, including anonymous submissions and detailed incident data. The collected data are discussed in monthly meetings of a dedicated multidisciplinary RM team to decide interventions.\"},{\"question\":\"What did the five-year analysis show about safety barriers and detection timing?\",\"answer\":\"Analysis assessed how incidents were captured by safety barriers and where errors originated versus where they were detected. After implementing data-driven RM in 2019, the average number of process steps between incident cause and detection could be halved, though critical gaps remained.\"}]","Enhancing clinical safety in radiation oncology - A data-driven approach to risk management | PDF",1790682305]