Development of smart emergency care algorithms by explainable AI

Development of smart emergency care algorithms by explainable AI - ENSURE

Status

Recruiting

Phases

Unknown

Study type

Interventional

Source

DRKS

Registry ID

DRKS00031150

Enrollment

2000

Registered

2023-02-01

Start date

2023-03-01

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

Emergency Cases

Interventions

Group 1: ED patients, >18y, capable of informed consent Intervention: Usage of the ENSURE application for clinical decision support by smart emergency algorithms

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: - Emergency Case (one of the 20 most frequent emergency diagnoses) - capable of informed consent

Exclusion criteria

Exclusion criteria: - Age < 18 LJ - incapable of informed consent - vulnerable risk groups (e.g. pregnancy, psychiatric diseases, dementia)

Design outcomes

Primary

Measure	Time frame
Improvement of diagnostic accuracy and diagnostic efficiency by > 10% with using the clinical decision support system (CDSS) ENSURE	—

Secondary

Measure	Time frame
- Improvement of defined process and quality indicators in emergency care - Evaluation of usability, utiliy and acceptance of the CDSS ENSURE	—

Countries

Germany

Contacts

Public ContactSabine Blaschke

Universitätsmedizin Göttingen

sabine.blaschke@med.uni-goettingen.de+49 551 3968621

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026