Generating insights in uncharted territories: Real-time learning from data in critically ill patients-an implementer report

Davy Van De Sande, Michel E. Van Genderen*, Joost Huiskens, Robert E.R. Veen, Yvonne Meijerink, Diederik Gommers, Jasper Van Bommel

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)
41 Downloads (Pure)

Abstract

Introduction In the current situation, clinical patient data are often siloed in multiple hospital information systems. Especially in the intensive care unit (ICU), large volumes of clinical data are routinely collected through continuous patient monitoring. Although these data often contain useful information for clinical decision making, they are not frequently used to improve quality of care. During, but also after, pressing times, data-driven methods can be used to mine treatment patterns from clinical data to determine the best treatment options from a hospitals own clinical data. Methods In this implementer report, we describe how we implemented a data infrastructure that enabled us to learn in real time from consecutive COVID-19 ICU admissions. In addition, we explain our step-by-step multidisciplinary approach to establish such a data infrastructure. Conclusion By sharing our steps and approach, we aim to inspire others, in and outside ICU walls, to make more efficient use of data at hand, now and in the future.

Original languageEnglish
Article numbere100447
JournalBMJ Health and Care Informatics
Volume28
Issue number1
DOIs
Publication statusPublished - 17 Sept 2021

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