A DATA DRIVEN DIGITAL HEALTH APPROACH TO IMPROVE CRRT DELIVERY IN THE ICU

 

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A DATA DRIVEN DIGITAL HEALTH APPROACH TO IMPROVE CRRT DELIVERY IN THE ICU

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Ruben
Raposo
Ruben Raposo ruben@dialytix.com Dialytix Technologies Inc. Executive Birmingham United States *
Ashita Tolwani atolwani@uabmc.edu UAB School of Medicine Nephrology Birmingham United States -
Javier Neyra jneyra@uabmc.edu UAB School of Medicine Nephrology Birmingham United States -
Jin Chen jinchen@uab.edu UAB School of Medicine Nephrology Birmingham United States -
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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

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 

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.

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. 

Kewords