Introduction
Global disparities in childhood cancer outcomes remain stark, with survival exceeding 80% in many high-income countries but remaining below 30% in several low- and middle-income countries (LMICs). While hospital-based cancer registries (HBCRs) are essential for understanding these gaps, registry data often remain static and underutilized, limiting timely interpretation and action. The St. Jude Global Childhood Cancer Analytics Resource and Epidemiological Surveillance System (SJCARES) Registry is a global, hospital-based pediatric cancer registry network designed to address this gap by systematically capturing standardized data on childhood cancer diagnosis, treatment, and outcomes across diverse health-system settings. However, like many large-scale registries, the value of SJCARES data for local decision-making has historically been constrained by delayed feedback and limited interactivity. There is a critical need for dynamic digital tools that translate registry data into accessible insights to support health-system strengthening, quality improvement, and equity-oriented cancer control.
 
Objectives
To develop and evaluate an interactive, user-centered, cloud-based dashboard that transforms global pediatric HBCR data into timely visualizations to support site-level quality improvement, programmatic decision-making, and evidence-informed research across diverse health-system settings.

Methods
We developed an interactive dashboard using de-identified data from the SJCARES HBCR, which currently includes 28,863 patient records from 60 participating sites. The registry captures standardized data across demographics, diagnosis/staging, treatment, and survival/follow-up.  User-centered design (UCD) methodology guided iterative development. User training and support were embedded through orientation sessions, a user manual, and iterative engagement with site-level clinicians and registry users. Stakeholders from participating sites joined facilitated sessions that included structured, task-based exercises simulating real-world use cases. Following these exercises, usability was assessed using a heuristic-inspired survey based on Nielsen’s 10 usability principles, with both quantitative ratings and qualitative feedback informing refinement.

Results
The dashboard enabled participating sites to dynamically explore hospital-based pediatric cancer registry data through filtering, user-defined grouping, and generation of multiple analytic outputs, including descriptive reports, run charts, frequency charts, scatter plots, and Kaplan–Meier survival analyses, supporting near real-time data use for site-level quality improvement and programmatic decision-making. Early UCD testing included 15 site-level users representing geographically diverse clinical settings. Usability ratings based on Nielsen’s 10 heuristic principles were consistently high across domains (overall mean score 4.43 on a 5-point Likert scale), with strongest ratings for visibility of system status, match between system and real world, and aesthetic and minimalist design (all > 4.7). Relatively lower scores were observed for help and documentation (3.93) and support for error recovery (4.00), identifying targeted opportunities to strengthen user guidance. Feedback directly informed improvements in labeling, navigation, and visualization to enhance interpretability and adoption.

Conclusions
An interactive, HBCR-linked dashboard will serve as a critical bridge between cancer surveillance and public health action. Next steps will focus on evaluating real-world implementation of the platform. Future work will examine strategies to promote uptake and sustained use for quality improvement and health-system strengthening in LMICs and other diverse global settings.