Interactive AI assistance for predictive and flexible control in discharge and transition management: Exploratory Study

Interactive AI assistance for predictive and flexible control in discharge and transition management: Exploratory Study - KIAFlex-Explore

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00031156

Enrollment

100

Registered

2023-04-05

Start date

2023-07-10

Completion date

Unknown

Last updated

2026-03-02

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

Conditions

No specific diseases will be investigated. The study focuses on the participatory and exploratory development of an AI system to improve discharge management.

Interventions

Group 1: Systematic surveys in the form of questionnaires will shed light on the extent to which hospital staff, patients and relatives accept the benefits of AI in healthcare and discharge management

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: Nurses and physicians in direct patient care Social service, care transition and discharge management staff (social workers, case managers) Patients and patients' relatives in one of the university hospitals participating in the project

Exclusion criteria

Exclusion criteria: Persons under 18, Apprentices

Design outcomes

Primary

Measure	Time frame
The study aims to explore the potential benefits, importance, expectations, and needs related to the Artificial Intelligence (AI) system developed in the overall project.	—

Secondary

Measure	Time frame
See primary outcome	—

Countries

Germany

Contacts

Public ContactNatalie V. Grant

Universitätsmedizin Mannheim, Medizinische Fakultät Mannheim der Universität Heidelberg

natalievictoria.grant@umm.de+49-(0)621 383-5982

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Mar 14, 2026