This research focuses on evaluating and enhancing data readiness for the development of an Artificial Intelligence (AI)-based Clinical Decision Support System (CDSS) in the context of skin cancer treatment. The study, conducted at the Skin Tumor Center of the University Hospital M\"unster, delves into the essential role of data quality, availability, and extractability in implementing effective AI applications in oncology. By employing a multifaceted methodology, including literature review, data readiness assessment, and expert workshops, the study addresses the challenges of integrating AI into clinical decision-making. The research identifies crucial data points for skin cancer treatment decisions, evaluates their presence and quality in various information systems, and highlights the difficulties in extracting information from unstructured data. The findings underline the significance of high-quality, accessible data for the success of AI-driven CDSS in medical settings, particularly in the complex field of oncology.

翻译：本研究重点评估和提升数据准备情况，以开发用于皮肤癌治疗的人工智能（AI）临床决策支持系统（CDSS）。这项在明斯特大学医院皮肤肿瘤中心进行的研究，深入探讨了数据质量、可用性和可提取性在肿瘤学中实施有效AI应用的关键作用。通过采用包括文献综述、数据准备度评估和专家研讨会在内的多层面方法，本研究解决了将AI整合到临床决策中的挑战。研究识别了皮肤癌治疗决策的关键数据点，评估了这些数据点在不同信息系统中的存在情况和质量，并强调了从非结构化数据中提取信息的困难。研究结果强调了高质量、可访问的数据对于AI驱动的CDSS在医疗环境中（尤其是在复杂的肿瘤学领域）取得成功的重要性。