Asian Journal of Economics, Business and Accounting

Digital dashboards, visual analytics and artificial intelligence are increasingly examined as approaches to supporting decision-making in oncology. However, research on these technologies is dispersed across clinical, informatics and management literatures, making it difficult to characterise its development and thematic priorities. This study maps publication patterns, research collaboration and intellectual themes in dashboard-enabled oncology decision support. Bibliographic records were retrieved from Scopus through a search combining dashboard, visualisation, decision-support and oncology terms. After restricting the records by publication period, document type and language, 171 English-language journal articles published between 2015 and 2026 were included. Biblioshiny and Bibliometrix were used to examine descriptive bibliometric indicators, authorship patterns, citation relationships and keyword networks. The dataset comprised 127 publication sources and 1,415 authors, with an annual publication growth rate of 22.71%, an average of 9.28 co-authors per document and international co-authorship in 26.32% of publications. The United States and China had the highest recorded country-affiliation frequencies. Thematic analyses identified data visualisation, explainable artificial intelligence, machine learning, clinical decision-making and patient-related outcomes as prominent areas of research. Breast and prostate cancer were particularly visible clinical applications. These findings characterise an expanding and collaborative research field but do not establish the clinical effectiveness of dashboard technologies. The analysis provides a basis for identifying research concentrations and considering future work on usability, workflow integration and patient-centred evaluation.