Identification of Outcome Relevant Indicators in Routine Data

NCT04670744 | Recruiting

• 1 other identifier: QUALIPATT
• Study Type: observational
• Target: 1,000,000
• Locations: 1 country
• Sites: 1

Brief 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.

Conditions

Anesthesiological Risk Reduction; Intensive Care Risk Reduction

Outcome Measures

Primary Outcomes (2)

• Mortality I

  Mortality is measured by inhouse mortality.

  01.01.2016-30.04.2026

• Mortality II

  Mortality is measured by long-term mortality (1 year)

  01.01.2016-30.04.2026

Secondary Outcomes (4)

• Morbidity

  01.01.2016-30.04.2026

• Accounting data

  01.01.2016-30.04.2026

• Functional status

  01.01.2016-30.04.2026

• Post Intensive Care Syndrome (PICS)

  01.01.2016-30.04.2026

Eligibility Criteria

• Age: Up to 120 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

At the department for anesthesiology with a focus on operative intensive care medicine, approximately 60,000 anaesthesias are performed annually. The data sets of documentation systems used in this context date back approximately to the year 2016 and are to be considered for the development of data science-based models depending on selected QI or SOPs.

You may qualify if:

• 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

You may not qualify if:

• none

Sponsors & Collaborators

• Charite University, Berlin, Germany: lead

Study Sites (1)

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

Berlin, State of Berlin, 10117, Germany

RECRUITING

Study Officials

• Claudia Spies, MD Prof.

  Charite University, Berlin, Germany

  STUDY DIRECTOR

Central Study Contacts

Claudia Spies, MD, Prof.

CONTACT

+49 30 450 55 11 02; claudia.spies@charite.de

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Head of the Department of Anesthesiology and Operative Intensive Care Medicine (CCM/CVK)

Study Record Dates

• First Submitted: December 10, 2020
• First Posted: December 17, 2020
• Study Start: December 3, 2020
• Primary Completion (Estimated): December 31, 2030
• Study Completion (Estimated): December 31, 2030
• Last Updated: June 5, 2026

Record last verified: 2026-06

Data Sharing

• IPD Sharing: Will not share

Locations

DE (1)