The Columbia Business School AI+Healthcare Initiative is the epicenter for translating AI innovation into measurable, equitable impact. We convene the leaders and provide the strategic frameworks—rooted in policy, delivery, and systems—to define the next era of healthcare. Our focus is clear: driving the solutions that move potential into practice.
How can we use AI to allocate resources where they’re needed, and flag problems before they’re apparent?
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In healthcare, accountability is non-negotiable, and the cost of mistakes is human life. How do we establish the policy, liability, and governance frameworks needed for safe and trustworthy human-AI collaboration?
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Carri Chan
Avo leverages AI to process patient data directly from the Electronic Health Record (EHR), maps that data against clinical best practices, and produces "copilots" that automate clinician workflows. Avo also transforms evidence into actionable tools in the clinical workflow, so you can standardize care and reduce burnout.
Pearl Health AI enables early interventions and improved patient outcomes. With proprietary data science and advanced modeling, we assess provider readiness and performance potential to match each participant to the right payment model. The result: optimize savings and reduce risk across your network.
The Dual Mandate: AI as a Solution–and a Challenge
Business collective action (BCA) has long been a topic of interest to management scholars. However, our theoretical understanding of this important phenomenon has been hindered by its fragmented development in the literature. To address this shortcoming, we conduct a comprehensive review of BCA across a wide range of disciplines in management including corporate political activity, private regulation, strategic management, and organizational institutionalism.
The rise of low-cost artificial intelligence (AI) technologies offers significant potential for businesses globally, yet AI adoption remains uneven. What shapes this unequal adoption? While prior work attributes adoption patterns to demand-side factors including physical costs and complementary assets, we theorize that AI entrepreneurs' strategic choice to target specific markets creates both search and perceived-fit frictions for firms outside of those markets.
In this paper, we develop an account of the failure of private market-governance institutions to maintain market order by highlighting how control of their distributional function by powerful elites limits their regulatory capacity. We examine the New York Clearing House Association (NYCHA), a private market-governance institution among commercial banks in Manhattan that operated from 1853 to 1913.
The mission of Columbia Business School’s AI+Healthcare Initiative is to define the future of healthcare innovation, policy and delivery. Successfully leading the next period of healthcare transformation requires a clear vision of what’s possible–anchored by expertise in data, delivery and systems. We are on the forefront of that revolution, convening the experts and the thinkers who will transform the way we give and receive care, to drive collaboration and solutions.