AI is a broad term that encompasses various technologies used in healthcare organizations. There is confusion around AI technologies like Large Language Models and generative AI, overshadowing other types of AI already in use. Machine learning is a mature technology that uses data and algorithms to make predictions. Deep learning simulates human decision-making using neural networks. Natural language processing allows computers to understand and communicate human language. Other technologies like medical robotics, Robotic Process Automation, machine vision, and robotics-assisted surgeries are also considered AI. Building an AI portfolio requires prioritizing technologies that offer the best value and ROI. High-quality Identity Data Management is crucial for successful AI implementation, and organizations should partner with experts to enhance their operations.
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Why HCOs Need a Portfolio Management Approach to AI
