Building Trust in Clinical AI--What Hospital Leaders Need to Know About Evidence‑Based Decision Support

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Building Trust in Clinical AI–What Hospital Leaders Need to Know About Evidence‑Based Decision Support

In this episode, Dr. Claudine Lott, Physician Executive for Commercial Transformation and Implementation at Elsevier, discusses building trust and clinical AI, what hospital leaders need to know about evidence-based decision support.

Highlights of this episode include:

What ClinicalKey AI is

How AI enhanced clinical decision support tools can help organizations improve both clinical efficiency and financial performance

How AI-powered tools can support clinicians in real time to reduce errors, avoid denials, and strengthen the overall revenue cycle

ROI opportunities for health systems adopting AI-powered clinical intelligence

How AI-powered tools remain evidence-based, transparent, and aligned with clinical best practices

The most common misconceptions hospital leaders have about implementing AI and clinical workflows

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Kelly Wisness: Hi, this is Kelly Wisness. Welcome back to the award-winning Hospital Finance Podcast. We’re pleased to welcome Dr. Claudine Lott. She is a board-certified family medicine physician who is passionate about developing and implementing tech-based clinical solutions that improve both patient outcomes and provider experience. As physician executive for commercial transformation and implementation at Elsevier, she supports the development and deployment of their reference products for healthcare providers, including ClinicalKey AI. Dr. Lott received her medical degree from the University of Massachusetts Medical School and completed her residency at White Memorial Medical Center. She served as a primary care physician at the federally qualified Santa Cruz Community Health Center, where she was promoted to site medical director. She then joined Healthcare Startup Crossover Health, where she contributed to the development and expansion of their virtual care model, as well as the creation and deployment of their Patient Engagement Technology Platform. Since joining Elsevier in July 2023, Dr. Lott works cross-functionally to support key initiatives, including customer implementations, product development, and change management.