HARNESSING ARTIFICIAL INTELLIGENCE FOR STRATEGIC KNOWLEDGE MANAGEMENT IN MODERN HEALTHCARE SYSTEMS: ENHANCING PATIENT CARE AND OPERATIONAL EFFICIENCY
DOI:
https://doi.org/10.52152/801886Keywords:
Artificial Intelligence (AI), Knowledge Management (KM), Healthcare Systems, Patient Care, Operational Efficiency, Clinical Decision Support, Data Analytics, Predictive Analytics, Machine Learning, Knowledge Sharing, Healthcare Innovation, Personalized Medicine, Telemedicine, Data Privacy, Healthcare Integration, Decision Support Systems, Healthcare Operations, Digital Health Tools, Healthcare Professionals, Data Security, Knowledge Silos.Abstract
This study looks into how Artificial Intelligence (AI) can change Knowledge Management (KM) systems in healthcare settings. As healthcare systems get more complicated and it's harder to keep track of all the data, we need new ideas to make patient care better and operations run more smoothly. AI has become a game-changing tool for dealing with these problems. It automates repetitive processes, makes real-time decision support better, and lets you analyze data in more complex ways. The study looks at how adding AI to hospital departments makes it easier to share information, helps with clinical decision-making, and makes operations run more smoothly. The main results show that AI-powered tools make diagnoses more accurate, lower the number of people who have to go back to the hospital, and make it easier to create individualized treatment plans, all of which lead to better health outcomes. Even with these improvements, there are still problems including worries about data privacy, reluctance to accept them, and problems with integrating them with older systems. The study also shows how AI could help healthcare workers work together and break down information silos. AI has the potential to improve customized treatment, telemedicine, and data security by working with new technologies like blockchain. This research underscores the importance of strategic planning for AI deployment in healthcare to fully harness its potential while mitigating associated challenges. The outcomes of this study have big effects on both the healthcare industry and society as a whole. Hospitals can run more smoothly, make fewer mistakes, and give better care to patients by adding AI to their healthcare KM systems. Not only do higher diagnostic accuracy and individualized treatment lead to better health outcomes, but they also make the patient experience better overall. Using AI in healthcare in the right way can save money, make healthcare more equal, and make it easier for more people to get high-quality care, especially in areas that don't have enough of it. This study gives researchers a clear path for future AI uses in healthcare and points out important issues that need to be addressed, like ethical considerations, integration problems, and educating the workforce. As AI continues to develop, it becomes clearer that it might change healthcare systems all around the world. This makes it a key player in defining the future of medical care.
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