AI is now playing a key role in healthcare by giving rise to new possibilities in diagnostics, planning care, using resources wisely, and developing the right strategy for organizations. Here, the focus is on learning how healthcare organizations can make better decisions in business by using AI technologies. Both secondary research and insights from digitalized hospitals are used to study this topic. General data was gathered from existing health performance dashboards, yet calculations from machine learning were also used, along with reviews of how ready the organization is and interviews with stakeholders for qualitative insights. Researchers have found out that the use of AI-based tools in healthcare organizations leads to a 45% drop in errors during diagnosis and a 30% decrease in expenses related to management. It was also important for AI tools to match the business’s IT infrastructure to help the company become agile in its strategy. Still, there are challenges such as data not sharing well, biased algorithms, and lack of acceptance of technological updates that keep most people from adopting data science. The study provides insight into the current field of healthcare by offering a unified framework for healthcare administration, artificial intelligence, and business information systems. What makes this research stand out is that it looks at AI’s uses in medicine and in the process of making high-level decisions. At the end, the paper offers practical steps that healthcare leaders should consider to shapes long-term strategies by using AI.
