Transforming Healthcare through Building AI Capabilities & Partnerships
Topics: AI & Machine Learning Healthcare Health Tech
By Amna Sohail, T’24 CDS Fellow
This paper explores strategies for implementing artificial intelligence (AI) in healthcare to address some of the industry’s toughest challenges, such as physician shortages, rising costs, and inefficiencies. It emphasizes the importance of understanding AI transformations compared to traditional digital transformations and identifies critical factors for success, including strategic alignment, internal buy-in, feasibility, and AI governance.
The research highlights how healthcare leaders can balance efficiency gains with innovation to maximize AI’s potential across payer, provider, and pharmaceutical sectors. It also examines the build-partner-buy framework, offering insights into when to develop AI solutions in-house, collaborate with external partners, or purchase ready-made solutions. Real-world examples from leading healthcare organizations illustrate how these strategies can create value by augmenting capabilities and addressing pressing healthcare needs.
This paper serves as a guide for healthcare executives navigating the complex landscape of AI adoption, with actionable frameworks for achieving both short-term efficiency and long-term innovation.
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