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Author: Robert Truog

AI as a Physician Workforce Multiplier

AI as a Physician Workforce Multiplier

AI-powered tools such as ambient scribes promise to multiply clinician capacity and reduce burnout, but measurable gains depend
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When Healthcare AI Needs Correction

When Healthcare AI Needs Correction

AI in clinical care faces a corrective moment: persuasive outputs and fast deployments have exposed dangerous failure modes
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Building AI Competence in Medicine

Building AI Competence in Medicine

Academic medical centers are moving beyond ad hoc pilots to build formal AI education and assurance infrastructure. This
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Physicians as Context Engineers in AI

Physicians as Context Engineers in AI

Leading medical organizations are reframing clinicians as 'context engineers' who guide AI tools to safer, more relevant care.
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Measuring AI's Payoff in Healthcare

Measuring AI’s Payoff in Healthcare

Healthcare leaders face pressure to deploy AI quickly while also needing measurable returns. This post examines the adoption
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Bridging the Clinical AI Gap

Bridging the Clinical AI Gap

Healthcare AI falters at the bedside when models lack clinical context and device-integrated algorithms ignore system-level safety. This
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Rethinking AI ROI in Healthcare

Rethinking AI ROI in Healthcare

Healthcare AI projects often miss projected ROI because organizations underestimate integration, governance, and workforce costs. This post unpacks
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When Hiring AI Harms Candidates

When Hiring AI Harms Candidates

AI recruitment tools are reshaping physician hiring—improving relevance while introducing opaque filtering, legal risk, and market distortions. Healthcare
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AI Regulatory Tug-of-War

AI Regulatory Tug-of-War

Federal AI directives and an accelerating patchwork of state laws are creating a fragmented compliance environment for healthcare
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Evidence-Based AI in Radiology

Evidence-Based AI in Radiology

Recent randomized trials and implementation studies show AI in radiology is delivering measurable clinical and workflow benefits—better cancer
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