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Artificial Intelligence for MEDical TALK

Artificial Intelligence for MEDical TALK - AI-MEDTALK

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
DRKS
Registry ID
DRKS00036814
Enrollment
300
Registered
2025-05-05
Start date
2025-05-26
Completion date
Unknown
Last updated
2025-10-06

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

Conditions

The study includes patients with a wide range of neurosurgical conditions. These include, but are not limited to, degenerative spinal diseases (e.g., disc herniations, spinal stenosis), intracranial space-occupying lesions (e.g., gliomas, meningiomas), cerebrovascular disorders (e.g., aneurysms, hemorrhages, ischemic strokes), epilepsy, hydrocephalus, and congenital malformations. The inclusion is independent of the specific diagnosis, as the focus of the study lies on medical document comprehen

Interventions

Group 1: Intervention group – Discharge consultation supported by AI-generated layperson-friendly discharge letter Participants in this group receive, prior to the discharge consultation, both the or

Sponsors

Uniklinikum Carl Gustav Carus Dresden
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: - Inpatient treatment at the Department of Neurosurgery with scheduled discharge - Planned physician-led discharge consultation including handover of the discharge letter - Sufficient German language proficiency to complete the survey - Cognitive ability to self-assess understanding - Written informed consent provided

Exclusion criteria

Exclusion criteria: - Severe language barriers preventing comprehension of the discharge letter or questionnaires - Cognitive impairments precluding informed consent or valid self-assessment - Acute neurological or psychiatric conditions impairing communication - Participation in another interventional study related to healthcare communication or discharge process

Design outcomes

Primary

MeasureTime frame
Patient satisfaction with physician communication during the discharge consultation Patient satisfaction is assessed immediately after the discharge consultation using the Health Care Communication Questionnaire (HCCQ) and the Patient-Physician Interaction Questionnaire (FAPI). The study compares the intervention and control groups regarding perceived communication quality and clarity of information.

Secondary

MeasureTime frame
Self-perceived understanding, consultation duration, physician satisfaction Secondary outcomes include: - Patients’ self-assessed understanding of the discharge letter using a 1–5 numeric scale - Duration of the discharge consultation, recorded by time documentation (start–end) - Physician satisfaction with the consultation, assessed via the HCCQ (physician version) and Difficult Doctor-Patient Relationship Questionnaire (DDPRQ)

Countries

Germany

Contacts

Public ContactSven Richter

Uniklinikum Carl Gustav Carus Dresden

Sven.Richter@ukdd.de+493514582883

Outcome results

None listed

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