Condition: Anesthesiological Risk Reduction · Intensive Care Risk Reduction · Sponsor: Charite University, Berlin, Germany
The availability of electronic documentation systems in patient care means that large amounts of clinical routine data are available from which conclusions can be drawn for improving patient care. Compared to conventional research approaches, a data science-oriented approach offers the possibility of identifying patterns in routine data ("pattern recognition") that are relevant for patient-centered outcomes. Numerous projects and sub-projects can be evaluated from this data set.
This description comes directly from the study's public registry record.
Claudia Spies, MD, Prof. · +49 30 450 55 11 02 · claudia.spies@charite.de
Always discuss trial participation with your own doctor first.
| Department of Anesthesiology and Intensive Care Medicine (CCM/CVK), Charité - Universitaetsmedizin Berlin | Berlin, State of Berlin, Germany | Recruiting |
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Source record: clinicaltrials.gov/study/NCT04670744