Traceability Is Key To Building Trust in AI Tools: Rhett Alden, PhD, Chief Technical Officer, Health Markets and Raman Kaur, APN-c, BSN-RN, VP of Elsevier Health Education

While Elsevier’s most recent Clinician of the Future Report shows increasing adoption of artificial intelligence tools among physicians and nurses, and optimism that they will improve quality of care in the future, a majority raised concerns about trust and reliability. To increase the level of trust, 60% said transparent citations of evidence-based and peer-reviewed research will be key.

How to provide that transparency is our focus today as Raise the Line host Lindsey Smith welcomes Elsevier colleagues Rhett Alden and Raman Kaur to guide us through the complexities involved, including the concept of traceability and what role it plays in how AI tools such as Elsevier’s ClinicalKey AI are built and deployed. 

“Traceability changes the confidence that a clinician has in an AI tool so that they aren’t trusting the AI, they’re trusting the underlying evidence they’re consuming from the AI-assisted platform,” says Raman, who brings years of experience as a primary care practitioner to her work. 

It's also important, Rhett adds, to provide additional information, pulled from both the clinician's query and the patient's medical record, to inform clinical thinking. “ClinicalKey AI can be more than a response engine by establishing a larger context to provide a more precise answer for that individual patient.”

In this thought-provoking discussion, these experts also provide insights on:

• Mitigating bias in AI results;
• Using AI responsibly with sustainability in mind;
• What type of clinician will benefit most from AI

Mentioned in this episode:

ClinicalKey AI

Clinician of the Future Report

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