Leveraging artificial intelligence for strategic decision-making in healthcare organizations: a business it perspective

Аннотация

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 The American Journal of Applied Sciences 74 https://www.theamericanjournals.com/index.php/tajas The American Journal of Applied Sciences science. The study provides insight into the current analytics, and integrated storage of collected data. field of healthcare by offering a unified framework for When AI tools are integrated with such IT systems, they healthcare administration, artificial intelligence, and contribute to improvements in everyday business as business information systems. What makes this well as guide future strategies. Predictions alone are not research stand out is that it looks at AI’s uses in very useful unless a predictive algorithm is connected to medicine and in the process of making high-level a decision-support tool that allows users to act on them decisions. At the end, the paper offers practical steps in real life. that healthcare leaders should consider to shapes long- However, even with all these opportunities, most term strategies by using AI. healthcare organizations do not efficiently use AI’s potential advantages. Difficulties with technology like divided data systems, incompatibility, and not enough Keywords: Artificial Intelligence, Strategic Decision- computer resources are made worse by organizational Making, Healthcare IT, Business Analytics, Predictive problems of lack of technology experience, people’s Systems. fear of changing, uncertain leadership, and missing a long-term innovation strategy. Also, concern for ethics and regulations—mainly regarding confidential patient 1. Introduction records, making AI open and understandable, and The fast development of digital technologies has taking responsibility—adds more issues that must be brought major changes to healthcare by adding data- taken care of by following solid policies and sticking to based knowledge and AI tools to clinical and commitments. Since these challenges are so varied, it is administrative jobs. Artificial Intelligence (AI) is at the important to see implementing AI as a major change center of this change, as it has left its research phase effort that unites people, processes, and platforms. and is now a main element in today’s healthcare Employing AI to boost strategic decision-making in systems. Though everyone knows about AI in medicine healthcare companies highlights a major change in how such as X-ray testing, predictive modeling, and high- they do business. When it comes to expanding hospitals, tech surgeries, its value in guiding the direction of developing new medical services, merging, acquiring healthcare organizations is less clear. This paper other organizations, and working on population health, focuses on the matter by investigating AI’s ability to data analysis of demand, finance, and risks is necessary. help enhance organizational-level decision making by With AI, people can now support these activities by using business IT as a starting point. combining speed, accuracy, and flexibly, things that These organizations function in a setting that is getting older analytics struggles with. This data enables more complex due to greater patient needs, limited managers to plan for the future, track current trends, resources, strict rules, and changing ways of getting and get suggestions for what to do, so they can react paid by insurers. When making choices in this quickly to new problems and chances. situation, companies must use data and analysis This paper is based on the view that AI should be instead of just relying on what they have known in the regarded as a major asset that can help transform past. Older ways of making decisions, relying on the healthcare decision-making. This approach is made analysis of earlier events and human analysis, are not complete by highlighting business IT integration, which able to handle today’s fast rate of incoming stresses that for AI to work effectivel