ICU Cockpit: a platform for collecting multimodal waveform data, AI-based computational disease modeling and real-time decision support in the intensive care unit
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Authors
Boss, Jens Michael
Narula, Gagan
Straessle, Christian
Willms, Jan
Suter, Susanne
Buehler, Christof
Muroi, Carl
Mack, David Jule
Seric, Marko
Baumann, Daniel
Author (Corporation)
Publication date
13.05.2022
Typ of student thesis
Course of study
Type
01A - Journal article
Editors
Editor (Corporation)
Supervisor
Parent work
Journal of the American Medical Informatics Association
Special issue
DOI of the original publication
Link
Series
Series number
Volume
29
Issue / Number
7
Pages / Duration
1286-1291
Patent number
Publisher / Publishing institution
Oxford University Press
Place of publication / Event location
Oxford
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
ICU Cockpit: a secure, fast, and scalable platform for collecting multimodal waveform data, online and historical data visualization, and online validation of algorithms in the intensive care unit. We present a network of software services that continuously stream waveforms from ICU beds to databases and a web-based user interface. Machine learning algorithms process the data streams and send outputs to the user interface. The architecture and capabilities of the platform are described. Since 2016, the platform has processed over 89 billion data points (N = 979 patients) from 200 signals (0.5–500 Hz) and laboratory analyses (once a day). We present an infrastructure-based framework for deploying and validating algorithms for critical care. The ICU Cockpit is a Big Data platform for critical care medicine, especially for multimodal waveform data. Uniquely, it allows algorithms to seamlessly integrate into the live data stream to produce clinical decision support and predictions in clinical practice.
Keywords
clinical research data platform, high resolution waveforms, data dashboards, livestream UI, machine learning integration
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ISBN
ISSN
1067-5027
1527-974X
1527-974X
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Closed
License
Citation
Boss, J. M., Narula, G., Straessle, C., Willms, J., Suter, S., Buehler, C., Muroi, C., Mack, D. J., Seric, M., Baumann, D., Keller, E., Azzati, J., Brodbeck, D., & Lüthy, R. (2022). ICU Cockpit: a platform for collecting multimodal waveform data, AI-based computational disease modeling and real-time decision support in the intensive care unit. Journal of the American Medical Informatics Association, 29(7), 1286–1291. https://doi.org/10.1093/jamia/ocac064