Optimizing Polypharmacy: Comparing the Performance of Various AI Models Against Physicians in Geriatrics

Optimizing Polypharmacy: Comparing the Performance of Various AI Models Against Physicians in Geriatrics - KIPIM

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00040501

Enrollment

Registered

2026-06-15

Start date

2026-06-08

Completion date

Unknown

Last updated

2026-08-03

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

Conditions

Polypharmacy

Interventions

Group 1: Optimization of polypharmacy by different AI Models. Group 2: Optimization of polypharmacy by inexperienced resident physicians in geriatrics (less than 3 years of professional experience) Gr

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: Geriatricians

Exclusion criteria

Exclusion criteria: None

Design outcomes

Primary

Measure	Time frame
The quality of polymedication optimization	—

Secondary

Measure	Time frame
Processing Time	—

Countries

Germany

Contacts

Public ContactJohannes Trabert

AGAPLESION MARKUS KRANKENHAUS

johannes.trabert@agaplesion.de+49 69 9533 5311

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Aug 10, 2026