- Research Article
- 10.1093/ndt/gfaf116.1959
#94 A data driven digital health approach to improve CRRT delivery in the ICU
- Oct 21, 2025
- Nephrology Dialysis Transplantation
- Ruben Martinez Raposo + 4 more +4
Abstract Background and Aims Acute kidney injury (AKI) is a frequent complication in the intensive care unit (ICU). About 15% of critically ill patients with AKI require renal replacement therapy, commonly in the form of continuous renal replacement therapy (CRRT). This project aimed to develop a data pipeline to feed scalable smart dashboards of patient- and CRRT-relevant data to monitor key performance CRRT indicators and patient outcomes. Method We utilized EHR and CRRT device data from UAB from 1/2022 to 2/2024. Extracted CRRT device data (n = 42 devices). Loaded data from CRRT cards to a secure storage location for data processing. Created an ETL (extract, process, and load) data process in a virtual server environment using Python code to clean and normalize the data. Connected the Python data pipeline to feed the visualization layer via the Tableau cloud server and refresh automatically. Designed specific interactive dashboards with Tableau that exhibit key performance. CRRT indicators that are sustainably trackable on a weekly or monthly basis. Results We developed smart dashboards and AI-powered data analytics to support providers in exploring data for multiple use cases including quality assurance, process or clinical outcome predictions and CRRT data to augment support clinical decision-making. Conclusion The development of digital health solutions that integrate multimodal data from EHR and CRRT devices is feasible. While this is a key milestone to enable AI-powered CRRT delivery, the impact of these digital health solutions on processes and clinical outcomes needs to be tested with contemporary implementation science tools.
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