AI and Oncology Nursing: Detecting Misdiagnosis With Molecular Profiling

In a recent interview with Oncology Nursing News, George W. Sledge, Jr., MD, Executive Vice President and Chief Medical Officer of Caris Life Sciences, and Vitor Pastorini, MD, a board-certified oncologist at Florida Oncology and Hematology, discussed the transformative impact of artificial intelligence (AI) in correcting cancer misdiagnoses.

For oncology nurses, the discussion highlighted a critical truth: Clinical intuition and frontline observation are often the first defenses against diagnostic errors.

The nurse as an "early warning system"

Sledge emphasized that while physicians often receive the credit for diagnostic breakthroughs, the nursing staff provides the essential groundwork. “My experience is routinely that my nurses and nurse practitioners are my early warning system,” Sledge noted. “They are regularly picking up things that I either miss or haven't thought about.”

This "early warning" was pivotal in the case of Erica, a young patient initially diagnosed with stage IV triple-negative breast cancer. Pastorini recalled that the clinical presentation did not align with the diagnosis; the patient had widespread lymph node involvement but no breast mass or visceral metastasis. As Erica’s condition rapidly deteriorated — losing 50 pounds in mere weeks — the emotional weight was felt heavily by the nursing team.

“I remember my nurse practitioner every time Erica was coming to the clinic, she would feel so heartbroken,” Pastorini shared.

Leveraging AI for diagnostic clarity

To resolve the clinical discrepancy, Pastorini utilized Caris’ AI-powered tissue-of-origin model. This technology compares a patient’s DNA and RNA data against a massive internal data set of over 200,000 samples to identify where a tumor originated.

In Erica’s case, the AI flagged the real diagnosis: Hodgkin lymphoma, a highly treatable malignancy with a five-year survival rate of approximately 89%. This correction moved her from a life sentence to a curable path.

The vital role of nursing logistics

Beyond patient advocacy, oncology nurses and nurse practitioners manage the complex logistics that make precision medicine possible. Sledge pointed out that nursing staff are frequently the ones who know "how to do it, when to do it, [and] what tissues to send" to the pathology department to ensure successful molecular profiling.

Because nurses spend the most time with patients in the chemotherapy suite, they develop a unique rapport that allows them to monitor treatment response and psychological well-being more closely than physicians in a brief office visit.

“The nurses are always great help because they are the ones who are with the patient the most,” Pastorini noted, adding that the entire clinic was moved by Erica’s second chance at life.

Clinical implications

For oncology nurses, this case underscores the importance of the "clinical detective" role. When a patient’s symptoms or disease progression do not match their documented diagnosis, the nurse’s voice is essential in prompting a deeper look through tools like AI-assisted molecular profiling.

As Sledge concluded, the weight of these life-saving diagnostic shifts often rests on the shoulders of the clinical team working alongside the physician.