Using AI to Improve COPD Care Guidelines
Official title: Using Large Language Models Such As GPT-4 to Assess Guideline Adherence in Patients with Chronic Obstructive Pulmonary Disease
Run by Charite University, Berlin, Germany · NCT06410547 · Data updated 2026-05-14
This study is no longer in our active list. It may have stopped recruiting or finished. The details below are as of 2026-05-14 and are kept for reference. Check ClinicalTrials.gov for its current status, or see similar studies below.
This study is testing if using AI can help doctors follow better guidelines for treating COPD to improve care and reduce hospital visits for patients.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 70 (estimated) |
| Sponsor | Charite University, Berlin, Germany Academic / other |
| Locations | 1 site (Berlin) |
| Trial ID | NCT06410547 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are individuals diagnosed with COPD who have recently been discharged from hospitalization and are able to provide consent.
✕Probably not a fit
Patients who lack the capacity to provide consent or those who do not have a diagnosis of COPD will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study aims to utilize large language models, such as GPT-4, to evaluate and enhance adherence to clinical guidelines in the management of Chronic Obstructive Pulmonary Disease (COPD). By analyzing patient data and treatment plans, the study seeks to identify gaps in guideline adherence that may lead to exacerbations and hospitalizations. The approach involves a prospective, randomized trial design to assess the effectiveness of AI in improving patient outcomes and ensuring evidence-based care is implemented in clinical practice.
Why it matters
Potential benefit: If successful, this study could lead to improved management of COPD, reducing exacerbations and hospitalizations for patients.
How similar studies have gone: While the use of AI in healthcare is a growing field, this specific application of large language models for guideline adherence in COPD is relatively novel and has not been extensively tested in prior studies.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Diagnosis of COPD * Consent * Discharge after hospitalization Exclusion Criteria: * Lack of Consent
Where it's running
-
Charité University
Berlin, Germany Recruiting
Study contacts
- Principal investigator: Matthias Gröschel, MD PhD — Charité
- Study coordinator: Matthias Gröschel, MD PhD
- Email: matthias.groeschel@charite.de
- Phone: +4915906714937
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
AERO-007: a inhaled LABA+LAMA combination for COPD through a nebulizer
This study tests whether a nebulized LABA+LAMA combination can improve lung function in adults with COPD.
-
Cognitive load and inhaler technique in COPD
This study tests whether adding a short memory task while using an inhaler makes COPD patients more likely to misuse their inhaler.
-
Balance training after pulmonary rehab for COPD to help steadiness and reduce falls
A COPD-focused balance training program called Sport4Steadiness is being tested to see if people with COPD will accept it and if the study processes work well.
-
Continuous vs High-Intensity Interval Exercise in COPD
This study tests whether continuous versus high-intensity interval exercise affects cerebral oxygenation in people with COPD.
-
Biomarker clues for COPD, IPF, and lung cancer
This study tests whether inflammation, immune, genetic, and epigenetic markers at enrollment can explain how COPD, IPF, or lung cancer present and behave, in order to see if these markers can predict outcomes over a year.
-
HRS-9821 Inhalation Suspension for COPD: Safety and Dose Finding in Adults
This study tests whether HRS-9821 inhalation can be safely taken and help people with moderate to severe COPD, and aims to find a reasonable dose.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.