Clin2
NCT07130071Possibly a fitNot yet recruiting

Using algorithms to find rare diseases in UK general practice

Rare Disorders

This study looks at how well certain computer programs can spot patients who might have a rare or difficult-to-diagnose disease. It uses anonymous data from general practices in the UK to improve early recognition and care.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
500 people
Ages
Any age
Study type
Observational

Who can take part

  • Your general practice must be in the United Kingdom (England, Scotland, Wales, or Northern Ireland).
  • Your practice must be part of Optimum Patient Care services and share anonymous data with the OPCRD database.
  • At least one of your patients must have been identified as likely having a rare or hard-to-diagnose disease by a quality improvement program algorithm.
  • Your practice can't be involved in other research or care that would strongly affect how CAPTURED is carried out.

View the official record on ClinicalTrials.gov

Quick eligibility check

Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.

Similar studies

Other trials that look related to this one.

NCT07625436Not yet recruiting
Testing AI tool to help doctors diagnose rare diseases

This study tests whether an artificial intelligence tool can help doctors more accurately diagnose rare diseases. Doctors will use the AI system and answer questions about how well it works.

Beijing
NCT07650799Not yet recruiting
AI tool to help diagnose rare diseases

This study tests whether an artificial intelligence system can help doctors figure out what rare disease you have when previous doctors couldn't find an answer. You'll work with the AI tool alongside your regular doctor to try to reach a diagnosis.

Beijing
NCT06656247Not yet recruiting
Dynamic consent study for rare disease patients

This trial gathers feedback from rare disease patients or those suspected of having a rare disease. The goal is to create a more flexible consent process for future research.

NCT01793168Recruiting
Rare disease registry and history study

This study keeps a registry (a structured list) of people with rare diseases and may also track how the condition changes over time. It can help researchers better understand rare illnesses and find gaps in care, which may improve future treatments.

Sioux Falls, South Dakota
NCT02743845Recruiting
Find genetic answers for rare, possibly inherited conditions

This trial looks for gene changes that may explain rare conditions, even when the diagnosis is not fully understood. It may help families who have a rare condition or who are related to someone with one.

Boston, Massachusetts
NCT06324136Recruiting
Personalized diagnosis for rare kidney diseases

This trial uses genetic testing to find the cause of rare kidney diseases. It is for people with unexplained kidney problems, a family history of kidney disease, or certain findings on ultrasound. The goal is to provide a more personalized diagnosis and see if this approach is cost-effective.

Florence

Hear when a new Rare Disorders trial opens

We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.