Interaction of Patients with Large Language Models

Interaction of Patients with Large Language Models - IPaLLM

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00034906

Enrollment

300

Registered

2024-08-16

Start date

2024-04-01

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

Patients with urogenital diseases (N00-N99, C63.8 & C68.8)

Interventions

Group 1: Participants used a GPT-4-based chatbot to pose their own medical questions

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: Patients attending urological counseling at the University Medical Center Mannheim were prospectively enrolled on-site

Exclusion criteria

Exclusion criteria: Patients with cognitive impairments or psychiatric conditions

Design outcomes

Primary

Measure	Time frame
Perceived user-friendliness, utility, safety, comprehensibility of medical content, as well as empathy and confidence of urological patients in AI after direct exploratory interaction with a chatbot in a clinical setting.	—

Secondary

Measure	Time frame
Medical information-seeking preferences, demographic data	—

Countries

Germany

Contacts

Public ContactNicolas Carl

Klinik für Urologie und Urochirurgie, Universitätsmedizin Mannheim

nicolas.carl@umm.de+496213832235

Outcome results

None listed

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