Development and Initial Evaluation of a Visualization Tool for Multidisciplinary Treatment Discussion of Patients with Pancreatic Cancer.

585 Background: Pancreatic cancer is the third leading cause of cancer death in the United States; it is a complex disease requiring coordinated patient care. Multidisciplinary tumor boards (MTB) are today's gold standard in pancreatic cancer but are frequently criticized for being time-intensive and inefficient. To address this issue, Cancer Collective and Hive Networks have developed a novel patient-information visualization tool designed to improve the communication and efficiency of multidisciplinary tumor board meetings. This pilot study investigated the patient-information visualization tool's usability, efficiency, and feasibility in pancreatic cancer tumor board meetings. Methods: A prospective multi-center pilot study was conducted at Northwell Health (a comprehensive community cancer program [NCCCP] in the Northeastern United States) and the University of California San Diego (an NCI-designated comprehensive cancer center in [NCCC] in the Southwestern United States. The feasibility of the tool was assessed by measuring the percentage of MTB cases discussed that used the patient-information visualization tool. The usability and efficiency of the tool were assessed via Likert scale questions. Acceptable usability and effectiveness were defined as a 70% score or higher. Additionally, MTB participants were queried for input on design improvements for future iterations and expected future directions of tool use. Results: The patient-information visualization tool was rolled out on 07/22/2022 at the NCCP and NCCC. From 07/22/2022-05/31/2023, 170 (92%) MTB cases were reviewed at the NCCP. From 07/22/2022-05/31/2023, 74 cases (100%) of MTB cases were reviewed using the patient-information visualization tool at the NCCP. The NCCP (n=9) mean scores for usability and efficiency were 4.31 (86%) and 4.17 (83%) respectively. The NCCC (n=6) mean scores for usability and efficiency were 4.04 (81%) and 3.96 (79%) respectively. Qualitative feedback, reported on survey open-ended questions, included suggested enhancements to improve the tool’s usability, such as leveraging data automation to reduce data entry burden, improving the user interface for ease of data visualization, and adding additional data elements (e.g., specific procedure and appointment details) to improve decision-making utility. Conclusions: Implementing the novel digital dashboard to visualize pancreatic cancer patient data was highly feasible, usable, and efficient. Future directions of tool use include refining based on qualitative feedback from end users and planning for data automation and interoperability with the EMR.