How Machine Learning Is Helping Patients Get Test Results Faster

Waiting for test results can be agonizing, and we’ve all been there. Machine learning is helping healthcare teams shorten some of that wait by spotting patterns in medical images and laboratory data, then directing attention to results that may need prompt review. The National Institutes of Health brought this topic to our attention in their article, “Machine learning analysis of CT scans.”

In radiology, a model can scan images for signs of a possible abnormality and flag a study for a clinician. That can move a concerning image higher in the reading queue. In one mammography implementation study, patients who were ultimately diagnosed with breast cancer reached biopsy diagnosis sooner in the group whose scans were prioritized with artificial intelligence (AI). The study also found that fitting the tool into everyday clinical workflows remained a challenge.

Pathology offers another opportunity. A digital slide contains far more detail than anyone can take in at a glance. Machine learning can highlight areas that warrant closer examination, helping a pathologist focus their review. Researchers are studying how these tools affect both diagnostic accuracy and the time needed to issue a report.

Machine learning can also help with decisions around repeat blood tests. One clinical pilot used a model to predict when results were likely to remain stable, giving clinicians information that could help them avoid unnecessary testing. That is a different kind of speed: reducing work that adds little value, so staff can focus on the tests patients need.

The promise is real, but speed alone is not enough. A useful system must perform reliably across patients and settings, fit the clinical workflow and leave room for professional judgment. The best outcome is not simply a quicker result. It is a timely, trustworthy result that helps someone receive the right care sooner.

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Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.