Dr. Kalie Dove-Maguire is an emergency physician, health-tech leader, and the President and Chief Product Officer at Evidently — a physician-founded company building clinical decision support tools designed to earn trust, not replace judgment. After years on the frontlines, Kalie saw firsthand how critical information gets lost in the noise, how clinicians compensate for broken workflows, and how better tools could prevent avoidable harm. That realization ultimately pushed her from the ER to the product world, where she now designs AI systems that surface the right data, cite their sources, and respect the mental work only clinicians can do.

In this episode of How I Doctor host Dr. Graham Walker sits down with Kalie to talk about about why AI must be transparent, why judgment can’t be automated, and what it really takes to create decision support clinicians actually want in their workflow. From the emotional weight of missed findings in residency to shipping software with guardrails, Kalie explains how Evidently approaches trust, verification, and workflow design in a way that empowers physicians.

This isn’t just a conversation about AI. It’s a look at how doctors can shape the tools that guide their practice, protect clinical judgment, and help build the next generation of decision support that clinicians rely on.

What You’ll Learn

• Why clinical decision support fails when it ignores physician judgment — and how Evidently builds tools that do the opposite.
• How Kalie’s ER experience shaped her approach to product design, safety, and transparency.
• The difference between predictive models, LLMs, and workflow-level AI — and why lumping them together creates misconceptions.
• How Evidently “shows its work” by surfacing evidence, matching data to action, and earning clinician trust over time.
• Practical lessons for physicians considering a transition into tech, entrepreneurship, or product roles.
• Why the future of AI in medicine is augmentation, not automation — and why the “AI resident” metaphor matters.

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