Improving How We Measure Diagnostic Quality
Measuring and Understanding Diagnostic Quality from Large-Scale Data
['FUNDING_R01'] · UNIVERSITY OF CALIFORNIA BERKELEY · NIH-11120840
This project aims to find better ways to measure how accurately doctors diagnose conditions like pneumonia using information from many patient visits.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF CALIFORNIA BERKELEY (nih funded) |
| Locations | 1 site (BERKELEY, UNITED STATES) |
| Trial ID | NIH-11120840 on ClinicalTrials.gov |
What this research studies
Diagnostic errors have been a challenge in healthcare, making it hard to know how well diagnoses are made compared to how treatments are measured. This project is developing new tools to measure the quality of diagnostic decisions made by healthcare providers using large amounts of patient data. Specifically, it will look at chest X-rays from millions of emergency department visits to understand how accurately pneumonia is diagnosed. The goal is to identify patterns in diagnostic errors and develop ways to prevent them, ultimately leading to more accurate and timely diagnoses for patients.
Who could benefit from this research
Good fit: This project does not directly recruit patients, but future patients who receive diagnoses, especially for conditions like pneumonia, could benefit from improved diagnostic accuracy.
Not a fit: Patients not seeking medical diagnoses or those whose conditions are already well-diagnosed may not directly benefit from this specific project.
Why it matters
Potential benefit: If successful, this work could lead to more accurate and timely diagnoses for patients, reducing the chance of misdiagnosis.
How similar studies have performed: While the challenge of diagnostic errors is recognized, this project aims to develop novel, data-driven methods to systematically measure diagnostic quality at scale, which is a relatively new approach.
Where this research is happening
BERKELEY, UNITED STATES
- UNIVERSITY OF CALIFORNIA BERKELEY — BERKELEY, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: CHAN, DAVID CHIMIN — UNIVERSITY OF CALIFORNIA BERKELEY
- Study coordinator: CHAN, DAVID CHIMIN
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.