Abstract

In the US healthcare industry, the use of Artificial Intelligence (AI) in Project Portfolio Management (PPM) has become a vital factor in efficiency, strategic decision-making, and value optimization. By highlighting the important role of AI technologies -machine learning, natural language processing, genetic algorithms, and beyond - in expediting healthcare PPM, this research offers a fresh viewpoint. We offer an extensive analysis outlining AI's capacity to manage the healthcare system's increasing complexity and budgetary limitations, arguing in favor of an AI-enhanced approach to project selection, management, and outcome alignment with organizational goals. Our study highlights the role of AI in facilitating data-driven decision-making, operational effectiveness, and risk management. These factors allow for better patient care and increase organizational performance. However, it also recognizes the difficulties that AI integration presents, such as worries about algorithmic transparency, data privacy, and ethical ramifications. As a future step, the report suggests creating advanced AI tools with ethical foundations that are specifically designed to meet the needs of the healthcare industry. This study lays forth a future in which PPM and AI are combined to create a more strategic, effective, and patient-focused field for healthcare project management.

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