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Portuguese Journal of Nephrology & Hypertension
Print version ISSN 0872-0169
Abstract
LIMA, Bruno Alves; HENRIQUES, Teresa Sarmento; REIS, Filipe Pinto and ALVES, Helena Dias. Transplant Open Registry Initiative. Port J Nephrol Hypert [online]. 2022, vol.36, n.4, pp.201-206. Epub Dec 30, 2022. ISSN 0872-0169. https://doi.org/10.32932/pjnh.2022.10.204.
Health data science aims to extract knowledge from data allowing better decision-making, using multidisciplinary approaches from fields such as computation, statistics, epidemiology, and several medical knowledge domains. We live in the ‘big data’ era, with a growing availability of health data, in volume, variety, and velocity, also for tasks such as kidney transplantation. Hereby, secondary use of this health data must be encouraged to improve patient care planning, disease research, and policymaking around transplantation.
This article presents the Transplant Open Registry (TxOR) website where some health data science applications on kidney transplantation are available. With it, we try to answer, some of the remaining questions on kidney transplantation in Portugal, with a new approach.
Keywords : Information Systems; Kidney Transplantation; Machine Learning; Process Assessment, Health Care; Tissue and Organ Procurement.