Main Session
Sep
28
PQA 03 - Digital Health Innovation and Informatics, Patient Safety & Quality, and Radiation and Cancer Biology
2624 - Evaluating the Clinical Utility of an Integrated Analytics Platform for Radiation Oncology Chart Review
Presenter(s)
Stetler Tanner, BS - University of Texas Southwestern Medical Center at Dallas, Dallas, TX
S. E. Tanner1, M. Dohopolski2, X. Zhang1, A. R. Godley2, R. Ali1, Y. K. Park2, and K. D. Westover2; 1University of Texas Southwestern Medical Center, Dallas, TX, 2Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
Purpose/Objective(s):
Weekly chart review in radiation oncology requires aggregation of treatment, planning, safety, and clinical data from multiple systems. Manual preparation is time-intensive and prone to omissions. We implemented an integrated analytics platform consolidating treatment-management data, automated safety context, artificial intelligence (AI)-generated clinical summaries, and radiotherapy plan documentation into a single interface. We evaluated its clinical utility and throughput during multidisciplinary chart rounds.Materials/Methods:
A scheduled-refresh dashboard was deployed to unify demographics, treatment site, prescription parameters, and treatment-start data; incorporate constraint-based safety information derived from dose-volume records; generate concise language-model clinical summaries from electronic chart data; and embed plan documents including dose-volume histograms and dose maps. The platform was used during weekly chart-round meetings attended by physicians, physicists, dosimetrists, therapists, and trainees, providing synchronized patient lists, linked plan documents, and integrated discussion context. Representative weekly logs informed quantitative workflow analysis.Results:
Across 17 meetings from 10/29/2025 to 02/18/2026, the platform supported review of 1,422 case-reviews representing 1,059 unique patients. Weekly volume ranged from 60 to 110 cases per meeting, with a median of 83 and a mean of 85 cases per session. These logs demonstrate sustained high-throughput utilization over the entire deployment interval, with complete capture of case lists each week and consistent integration of treatment-management data and plan documentation.Conclusion:
Implementation of a multi-source analytics platform enabled efficient, high-volume weekly chart rounds, supporting consistent case capture and streamlined review across 17 chart-round meetings. The system’s integration of treatment information, plan documentation, and AI-assisted clinical context facilitated comprehensive single-screen evaluation. These findings support the feasibility and clinical utility of the platform in routine radiation oncology practice, with ongoing work focused on prospective assessment of quality-impact metrics such as safety-flag intervention rates and review-time reduction.