In the ever-evolving landscape of clinical oncology, the importance of data visualization support for interdisciplinary team treatment planning cannot be overstated. This article delves into a scoping review that sheds light on the current state of data visualization tools available for tumor boards and related areas.
The review process, based on the framework by Arksey and O'Malley, aimed to identify and present the key features of data visualization solutions used in molecular and organ tumor boards. It sought to provide an overview of not just the digital tools, but also the data they encompass, their visualization strategies, and their integration into hospital processes.
The results revealed a wide range of innovative visualization solutions, with a particular focus on the complexity of omics data. Tables remained the dominant visualization strategy for clinical data, while omics data drove many visualization innovations. Interestingly, a significant number of applications were available through open-source access, indicating a collaborative effort in the field.
However, the review also highlighted a lack of integration of these tools into clinical routines, with many remaining in the research phase. This raises important questions about the accessibility and clinical integration of these powerful tools.
So, why is data visualization so crucial in clinical oncology? The answer lies in the complex and expanding datasets that require flexible and interactive visualization to provide healthcare professionals with the maximum amount of information. In an era where time is of the essence, especially in oncology, effective data visualization can be the difference between life and death.
The review's findings emphasize the need for standardization and user-centered design to ensure the widespread adoption of these tools. As we move forward, improving the accessibility and clinical integration of data visualization tools will be crucial in enhancing multidisciplinary decision-making in oncology settings.
This scoping review provides a comprehensive overview of the current landscape and future directions of digital support tools in tumor board settings. It serves as a call to action for further development, integration, and standardization of these essential tools in clinical oncology.
