Metadata from database covering longitudinal data from patients with subarachnoid hemorrhage
Description
Data from patient history, lab values (low-resolution data) and from multiple biosensors (high-resolution data) were prospectively collected from patients with aneurysmal subarachnoid hemorrhage (aSAH) who were admitted to the neurosurgical intensive care unit at the University Hospital of Zurich since October 2016. The cohort covers data from about 300 patients. The data collection was carried out via a CNS data collector (Moberg ICU Solutions, Ambler, PA) and the processing and storage of the high-resolution data was realized on the dedicated information technology infrastructure "ICU Cockpit" [doi.org/10.1093/jamia/ocac064].
With the present project, highly sensitive patient data in need of protection is collected. Data cannot be made publicly available. However, for specific research questions, data may be made available upon request with the appropriate ethics committee approval and after completion of a DTA.
Files
Summary.pdf
Files
(98.0 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:76cbd842bb63fd1bf480c7036dcd9719
|
98.0 kB | Preview Download |
Additional details
Funding
Software
- Development Status
- Active
References
- Boss JM, Narula G, Straessle C, Willms J, Brodbeck D, Luethy R, Suter S, Buehler C, Mack D, Seric M, Baumann D, Keller E (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. J Am Med Inform Assoc.29(7):1286-1291 https://doi.org/10.1093/jamia/ocac064
- Bienefeld N, Keller E, Grote G (2024) Human-AI Teaming in the ICU: A Comparative Analysis of Data Scientists' and Clinicians' Assessments on AI Augmentation and Automation at Work. Journal of Medical Internet Research, accepted