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A Learning and Interoperable, Smart Clinical Decision Support System for the pediatric intensive care unit (ELISE) – preparation work for the work package 4: A retrospective evaluation of the predictive model in comparison to the real time assessment of clinicians

A Learning and Interoperable, Smart Clinical Decision Support System for the pediatric intensive care unit (ELISE) – preparation work for the work package 4: A retrospective evaluation of the predictive model in comparison to the real time assessment of clinicians - ELISE

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00029071
Enrollment
544
Registered
2022-05-23
Start date
2022-07-25
Completion date
Unknown
Last updated
2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

the perception of various organ dysfunctions or failures N17.9 K72.0 J96.0 R57.9 D77 R65 A41

Interventions

Group 1: Patients with a hospitalization (= 12 hours) to the ward of the Pediatric Cardiology and Pediatric Intensive Care Unit of the Hannover Medical School, Germany, will be retrospectively assesse

Sponsors

Klinik für Pädiatrische Kardiologie und Pädiatrische Intensivmedizin, Medizinische Hochschule Hannover
Lead Sponsor

Eligibility

Sex/Gender
All
Age
0 Days to 17 Years

Inclusion criteria

Inclusion criteria: Included will be all patients who were admitted to the ward of the Pediatric Cardiology and Pediatric Intensive Care Unit of the Hannover Medical School, Germany, under the condition that the admission lasted for at least 12 hours and that a written informed consent for the study participation for the patients was issued by their legal guardians or their legal representatives.

Exclusion criteria

Exclusion criteria: Excluded will be all patients who were admitted to the ward of the Pediatric Cardiology and Pediatric Intensive Care Unit of the Hannover Medical School, Germany, of less than 12 hours and/or for whom no written informed consent was issued by their legal guardians or their legal representatives.

Design outcomes

Primary

MeasureTime frame
Estimation of sensitivity and specificity of the predictive model to correctly classify the presence of SIRS, sepsis, or other organ dysfunction/failure.

Secondary

MeasureTime frame
Superiority of the diagnostic accuracy of the predictive model in comparison to the real-time evaluation of clinicians.

Countries

Germany

Contacts

Public ContactThomas Jack

Klinik für Pädiatrische Kardiologie und Pädiatrische Intensivmedizin, Medizinische Hochschule Hannover

Jack.Thomas@mh-hannover.de+495115329041

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 11, 2026