Identification of Outcome Relevant Indicators in Routine Data
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
AgeUp to 120
SponsorCharite University, Berlin, Germany
About this trial
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.
Eligibility criteria
Qualifiers
Age: 0 to 120 years
Gender: female, male, diverse
Electronically documented anesthesiological or intensive care treatment in the HIS (Hospital Information System) and PDMS (Patient Data Management System) of the Charité (Department of Anesthesiology and Intensive Care Medicine, CCM/CVK/CBF) since 2016
Disqualifiers
None
Trial design
Treatments tested in this trial
- Not listed
Trial groups
No trial groups listed
Sponsors and collaborators
Source ClinicalTrials.gov