A Comprehensive Study of Artificial Intelligence’s Contribution to Streamlining Healthcare Workflows and Enhancing Decision-Making Practices
Keywords:
Artificial Intelligence, Healthcare Workflows, Clinical Decision-Making, Diagnostic Support, Predictive Analytics, Personalized Care, Data Privacy, Algorithmic Bias, Ethical ConsiderationsAbstract
This paper explores the transformative role of artificial intelligence (AI) in healthcare, focusing on its contributions to streamlining workflows and enhancing decision-making practices. By automating routine administrative and clinical tasks, AI has significantly improved efficiency and reduced operational costs within healthcare systems. Furthermore, AI has demonstrated its value in diagnostic support, improving accuracy and facilitating early detection of diseases. The use of predictive analytics in personalized care has allowed for tailored treatment plans, resulting in improved patient outcomes. While AI's current impact is considerable, the paper also discusses its future potential, along with the challenges related to data privacy, algorithmic bias, and ethical considerations that must be addressed for responsible AI implementation in healthcare.
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