Identification of Outcome Relevant Indicators in Routine Data

NCT04670744 · tracked via the Priya Life Science Germany tracker

Sponsor

Charite University, Berlin, Germany

Phase

Observational

Started

2020-12-03

Last updated

2026-06-05

Condition(s) studied

Anesthesiological Risk ReductionIntensive Care Risk Reduction

Study summary

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

Sex

ALL

Min age

—

Max age

120 Years

Healthy volunteers

Inclusion Criteria: * 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 Exclusion Criteria: -none

Primary outcome measure(s)

Mortality I — 01.01.2016-30.04.2026
Mortality is measured by inhouse mortality.
Mortality II — 01.01.2016-30.04.2026
Mortality is measured by long-term mortality (1 year)

Trial sites (1)

Facility	City	Region	Status
Department of Anesthesiology and Intensive Care Medicine (CCM/CVK), Charité - Universitaetsmedizin Berlin	Berlin	State of Berlin	Recruiting

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Official registry record

This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.

View NCT04670744 on ClinicalTrials.gov ↗ ← All trials in Germany