Learning success through the use of Chat GPT compared to established digital applications for occupational health topics: example of occupational lung diseases

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

DRKS

Registry ID

DRKS00036492

Enrollment

Registered

2025-04-01

Start date

2024-03-01

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

occupational lung diseases

Interventions

Group 1: In this arm, the participants were to solve three occupational health cases regarding lung diseases. They were to use only a chat window connected to an API with gpt-4-0125-preview. This is

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: Study of medicine or medical profession

Exclusion criteria

Exclusion criteria: no mention of medical studies or the medical profession

Design outcomes

Primary

Measure	Time frame
Case performance, as indicated by the number of (correct) answers recorded during the case processing. There were three cases to solve, each with 6 questions. The number of answers was recorded after the case processing and online survey were completed. It was a one-time online survey with cases and questions developed for the study.	—

Secondary

Measure	Time frame
Change in case performance, as indicated by the number of (correct) answers recorded during case processing. The number of answers was collected before AND after completion of the case processing and online survey and then compared.	—

Countries

Germany

Contacts

Public ContactJulia Krabbe

Institut für Arbeits-, Sozial- und Umweltmedizin, Uniklinik RWTH Aachen

julia.krabbe@rwth-aachen.de02418088881

Outcome results

None listed

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