Finding routine data patterns that predict important anesthesia and ICU outcomes
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
This project will try to find patterns in Charité's electronic hospital records that predict outcomes for people who received anesthesia or intensive care since 2016.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 1000000 (estimated) |
| Ages | N/A to 120 Years |
| Sex | All |
| Sponsor | Charite University, Berlin, Germany Academic / other |
| Locations | 1 site (Berlin, State of Berlin) |
| Trial ID | NCT04670744 on ClinicalTrials.gov |
What this trial studies
Researchers will use routinely collected electronic health record and patient data management system information from Charité to identify combinations of vital signs, lab values, diagnoses, and process measures that relate to patient-centered outcomes. They will combine these routine data with existing quality indicators (QIs) and standard operating procedures (SOPs) to map measurable care processes linked to outcomes. The work is retrospective and data-science driven, using pattern-recognition methods rather than changing patient care directly. The goal is to derive recommendations and quality-based treatment structures to reduce anesthesiology and intensive care risks.
Who should consider this trial
Good fit: Patients of any age and gender who had electronically documented anesthesiology or intensive care treatment in Charité's HIS/PDMS since 2016 are eligible.
Not a fit: People treated outside Charité or whose care was not captured in Charité's electronic systems are not included and will not directly benefit from this dataset analysis.
Why it matters
Potential benefit: If successful, the findings could inform data-driven SOPs and quality indicators that reduce complications and improve anesthesia and ICU care aligned with patient preferences.
How similar studies have performed: Similar EHR-based and pattern-recognition projects have shown promise in identifying risk patterns and improving quality metrics, though clinical translation and impact have varied by setting.
Eligibility criteria
Show full inclusion / exclusion criteria
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
Where this trial is running
Berlin, State of Berlin
- Department of Anesthesiology and Intensive Care Medicine (CCM/CVK), Charité - Universitaetsmedizin Berlin — Berlin, State of Berlin, Germany (Recruiting)
Study contacts
- Study coordinator: Claudia Spies, MD, Prof.
- Email: claudia.spies@charite.de
- Phone: +49 30 450 55 11 02
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.