Actively Recruiting
Identification of Outcome Relevant Indicators in Routine Data
Led by Charite University, Berlin, Germany · Updated on 2026-01-21
1000000
Participants Needed
1
Research Sites
317 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Identification of Outcome Relevant Indicators in Routine Data
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age between 0 and 120 years
- Any gender: female, male, or diverse
- Electronically documented anesthesiological or intensive care treatment at Charité hospital since 2016
You will not qualify if you...
History of severe allergic reactions to study medication Currently pregnant or breastfeeding Recent participation in another clinical trial within the last 30 days Presence of uncontrolled medical conditions that could affect safety
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Department of Anesthesiology and Intensive Care Medicine (CCM/CVK), Charité - Universitaetsmedizin Berlin
Berlin, State of Berlin, Germany, 10117
Actively Recruiting
Research Team
C
Claudia Spies, MD, Prof.
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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