DEVELOPMENT OF THE ONCOCARE ASSIST APPLICATION FOR CANCER PATIENT MANAGEMENT SUPPORT
Main Article Content
Abstract
Objectives: The study aims to develop the OncoCare Assist application on the AppSheet platform and to evaluate its feasibility, acceptability, and effectiveness in oncology practice.
Subjects and methods: A two-phase study: application development using an action research approach, followed by a cross-sectional evaluation involving 12 physicians who trialed the application.
Results: OncoCare Assist comprises 32 tables, 2962 columns, 96 interfaces, and 108 actions, supporting patient data storage, clinical workflow management, and real-time research. The mean System Usability Scale score was 83.1 ± 6.5 (“Excellent”), and task completion time decreased by 90.5% compared with manual methods.
Conclusion: OncoCare Assist is a feasible, user-friendly solution that standardizes data, reduces administrative burden, and supports clinical oncology research.
Article Details
Keywords
OncoCare Assist, AppSheet, cancer patient management, clinical research.
References
[2] Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L et al. Global cancer observatory: Cancer today. International Agency for Research on Cancer, 2024. Accessed May 3, 2026. https://gco.iarc.who.int/today
[3] Boehm K.M, Khosravi P, Vanguri R, Gao J, Shah S.P. Harnessing multimodal data integration to advance precision oncology. Nat Rev Cancer, 2022, 22 (2): 114-126. doi: 10.1038/s41568-021-00408-3
[4] Wang L, Fu S, Wen A et al. Assessment of electronic health record for cancer research and patient care through a scoping review of cancer natural language processing. JCO Clin Cancer Inform, 2022, 6: e2200006. doi: 10.1200/CCI.22.00006
[5] Goel K, Laseinde E.E, Gensheimer M.F. Survival data quality in retrospective oncology publications. Clin Oncol (R Coll Radiol), 2025, 43: 103865. doi: 10.1016/j.clon.2025.103865
[6] Google. Build apps with no code - Google AppSheet. Accessed May 3, 2026. https://about.appsheet.com/home/
[7] Bangor A, Kortum P.T, Miller J.T. Determining what individual SUS scores mean: adding an adjective rating scale. J Usability Stud, 2009, 4 (3): 114-123. https://dl.acm.org/doi/10.5555/2835587.2835589