RecruitingNCT04670744

Identification of Outcome Relevant Indicators in Routine Data

Retrospective Analysis for the Identification of Outcome Relevant Indicators ("Patterns") in Routine Data and Investigation of the Influence on Patient-centered Outcome for a Data-driven Improvement of Quality-based Treatment of Perioperative and Intensive Care Patients

Sponsor

Charite University, Berlin, Germany

Enrollment

1,000,000 participants

Start Date

Dec 3, 2020

Study Type

OBSERVATIONAL

Conditions

Anesthesiological Risk Reduction Intensive Care Risk Reduction

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

Max Age: 120 Years

Inclusion Criteria3

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 Criteria1

none

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Locations(1)

Department of Anesthesiology and Intensive Care Medicine (CCM/CVK), Charité - Universitaetsmedizin Berlin

Berlin, State of Berlin, Germany

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NCT04670744