Published • loading... • Updated
I teach doctors how to interpret test results – and the labels ‘normal’ and ‘abnormal’ often hide what matters most
Researchers found interval likelihood ratios helped more than 600 clinicians make better decisions by showing how strongly a lab value points toward or away from a diagnosis.
- Doctors often rely on binary "normal" or "abnormal" labels to interpret test results, a practice that obscures nuanced information and can lead clinicians to overlook critical diagnostic details.
- One patient received a "normal" BNP level of 14, causing doctors to treat him for heart failure, though this label masked his actual life-threatening condition of fluid buildup around the heart.
- Researchers tested "interval likelihood ratios," a metric showing how specific values change diagnosis probability, finding clinicians using these made correct calls 93 out of 100 times in a study of more than 600 clinicians.
- Improving how test results are displayed could help clinicians avoid errors for roughly 1 in 10 patients, moving beyond simple cutoffs to enable safer, more informed care decisions.
- Since President Barack Obama signed the Century Cures Act in 2016, patients have gained greater access to health information, and experts suggest displaying more nuanced test data could empower individuals to better understand their own reports.
Insights by Ground AI
23 Articles
23 Articles
I teach doctors how to interpret test results—and the labels 'normal' and 'abnormal' often hide what matters most
V felt tightness across his chest. His deepest breaths felt shallow. He sought help at an emergency department, where a resident physician found several worrying signs, including swelling of his hands and legs as well as heart enlargement on a chest X-ray.
·Douglas, United Kingdom
Read Full Article
The Conversation+20 Reposted by 20 other sources
I teach doctors how to interpret test results – and the labels ‘normal’ and ‘abnormal’ often hide what matters most
Labeling medical test results as ‘normal’ or ‘abnormal’ helps clinicians make quick judgments when diagnosing patients. But this binary approach to interpreting tests can lead to fatal errors.
·Boston, United States
Read Full Article
I teach doctors how to interpret test results – and the labels ‘normal’ and ‘abnormal’ often hide what matters most
by Amiran Baduashvili, University of Colorado Anschutz, [This article first appeared in The Conversation, republished with permission] Mr. V felt tightness across his chest. His deepest breaths felt shallow. He...
Coverage Details
Total News Sources23
Leaning Left2Leaning Right3Center16Last UpdatedBias Distribution76% Center
Bias Distribution
- 76% of the sources are Center
76% Center
C 76%
14%
Factuality
To view factuality data please Upgrade to Premium
