Hybrides KI-System zur Delirprädiktion für die Entlastung der Pflegepraxis

Overview
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In dem Projekt wird ein hybrides KI-basiertes klinisches Entscheidungsunterstützungssystem (clinical decision support system, CDSS) zum Erkennen eines Delir-Risikos entwickelt. So soll eine praktische Entscheidungshilfe für Pflegefachpersonen entstehen, die die Durchführung zeitiger und individueller Präventions- sowie Behandlungsmaßnahmen im Pflegealltag unterstützt. Die zugrundeliegende Datenbasis setzt sich zusammen aus Daten des Klinikinformationssystems (KIS), die zusammengeführt werden und es dem CDSS ermöglichen, per Mustererkennung entsprechende Handlungsempfehlungen zu geben.

Programme: N/A

SEEK ID: https://ldh.zks-freiburg.imise.uni-leipzig.de/projects/7

Public web page: Not specified

NFDI4Health PALs: No PALs for this Project

Project created: 15th Aug 2025

Extended Metadata (Nfdi4Health MDS 3.3)

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Id of the project(*) : nfdi4health-30172

Resource classification(*)

Type of the resource : Study

Title(s)/name(s) of the Project

Title/name : Hybrides KI-System zur Delirprädiktion für die Entlastung der Pflegepraxis
Language of the title/name : German

Acronym(s) of the Project

Acronym : KIDELIR Predict
Language of the acronym : English

Description(s) of the Project

Description : In dem Projekt wird ein hybrides KI-basiertes klinisches Entscheidungsunterstützungssystem (clinical decision support system, CDSS) zum Erkennen eines Delir-Risikos entwickelt. So soll eine praktische Entscheidungshilfe für Pflegefachpersonen entstehen, die die Durchführung zeitiger und individueller Präventions- sowie Behandlungsmaßnahmen im Pflegealltag unterstützt. Die zugrundeliegende Datenbasis setzt sich zusammen aus Daten des Klinikinformationssystems (KIS), die zusammengeführt werden und es dem CDSS ermöglichen, per Mustererkennung entsprechende Handlungsempfehlungen zu geben.
Language of the description : German

Keyword(s) describing the Project

Keyword(*) : Delir

Keyword(*) : CDSS

Language(s) of the project : German

Contributor(s) of the Project

Is it a personal or organisational contribution?(*) : Organisational
Details about the contributing organisation(s)/institution(s)/group(s)
Contributor type(*) : Creator/Author
Funding identifier(s) : Not specified
Name of the organisation/institution/group(*) : Universitätsklinikum Freiburg
Details about the contributing person(s)
Contributor type(*) : Not specified
Given name(*) : Not specified
Family name(s)(*) : Not specified
Digital identifier(s)
Identifier(*) : Not specified
Scheme(*) : Not specified
Email address : info@uniklinik-freiburg.de
Phone number : +49 761 270-0
Organisation(s) associated with the contributor
Name(*) : Not specified
Address : Not specified
Web page : Not specified
Digital identifier(s)
Identifier(*) : Not specified
Scheme(*) : Not specified

Alternative identifiers

Type of the registry(*) : DRKS
Identifier(*) : DRKS00033285

Characteristics of the Project

Is it an interventional or non-interventional Project? : Non-interventional
Specification of the type of the Project
Interventional Project type : []
Non-interventional Project type : []
Primary health condition(s) or disease(s) considered in the Project
Primary health condition or disease name(*) : Delir
Terminology/classification(*) : SNOMED CT
Code of the health condition or disease : 2776000
Groups of diseases or conditions(*)
Which groups of diseases or conditions were the data collected on? : []
On which diseases or conditions were the data collected? : []
Collects mortality data? : Not specified
Administrative information about the Project
Status of the ethics committee approval : Not specified
Overall Project status : Not specified
Participants enrolled by invitation? : Not specified
Start date : Not specified
End date : Not specified
Mono- or multicentric? : Monocentric
Number of centers : Not specified
One or more data providers? : Not specified
Number of data providers : Not specified
Primary subject(*) : Person
Eligibility criteria for Project participants
Eligibility criteria: Minimum age
Minimum eligible age(*) : Not specified
Unit of age(*) : Not specified
Eligibility criteria: Maximum age
Maximum eligible age(*) : Not specified
Unit of age(*) : Not specified
Eligible gender : []
Inclusion criteria : Not specified
Exclusion criteria : Not specified
Population of the Project(*)
Coverage : Not specified
Country(ies) : []
Region(s) and/or city(ies) : Not specified
Interventions of the Project
Name of the intervention(*) : Not specified
Type of the intervention : Not specified
Additional information about the intervention : Not specified
Name(s) of the arm(s) associated with the given intervention : Not specified
Exposures of the Project
Name of the exposure : Not specified
Type of the exposure : Not specified
Additional information about the exposure : Not specified
Name(s) of the group(s) associated with the given exposure : Not specified
Outcome measures in the Project
Name of the outcome measure(*) : Not specified
Description of the outcome measure : Not specified
Type of the outcome measure : Not specified
Time point(s) of assessment : Not specified
Additional information about the Project : Not specified
Additional assessments/measurements in the Project : []
Data sharing strategy of the Project(*)
Is it planned to share the data?(*) : Not specified
Supporting documents available in addition to the data : []
When and for how long will the data be available? : Not specified
Criteria for data access : Not specified
Additional information about data sharing : Not specified
DataSHIELD/Opal infrastructure available? : Not specified
Link to data request application : Not specified
Web page with additional information about data sharing : Not specified
Record linkage possible? : false
Non-interventional aspects of the Project
Temporal design : []
Target follow-up duration of the Project
Target follow-up duration(*) : Not specified
Unit of time(*) : Not specified
Number of follow-ups conducted : Not specified
Biosamples retained in a biorepository : []
Specific types of retained biosamples : Not specified
Interventional aspects of the Project
Numerical phase : Not specified
Masking of intervention(s) assignment
Masking implemented? : Not specified
Who is masked? : []
Additional information about masking : Not specified
Type of allocation of participants to an arm : Not specified
Off-label use of a drug product : Not specified

Hybrides KI-System zur Delirprädiktion für die Entlastung der Pflegepraxis

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