Impact of Artificial Intelligence on Quality Management and Decision Support in Healthcare

Annotated Bibliography: Impact of Artificial Intelligence on Quality Management and Decision Support within the Healthcare Industry
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Sardar, P., Abbott, J. D., Kundu, A., Aronow, H. D., Granada, J. F., & Giri, J. (2019). Impact of artificial intelligence on interventional cardiology: from decision-making aid to advanced interventional procedure assistance. Cardiovascular Interventions, 12(14), 1293-1303.
The article's authors are well-known researchers in the field of interventional cardiology. The paper examines how Artificial Intelligence (AI) is becoming more prevalent in interventional cardiology and what it means for the future of the specialty. According to the study, AI can assist cardiologists with enhanced interventional procedures and decision-making support. "Optimize patient outcomes and reduce procedural costs" are two goals that are allegedly achieved with AI. As the authors state, "AI has the capability to revolutionize the way patients are managed with respect to decision-making and interventional procedures."
The potential of AI in expediting improvements in interventional cardiology, enabling better-informed decision-making and patient care, as well as a more cost-effective approach to patient management, are among the primary topics covered in the paper. The authors also explore potential obstacles to implementing AI in interventional cardiology, such as privacy and data security worries, moral dilemmas, and legal complications. They conclude that AI can significantly enhance interventional cardiologists' decision-making and procedure-performing abilities. They also point out that AI implementation must adhere to moral principles and appropriately account for privacy and data security issues.
Nasseef, O. A., Baabdullah, A. M., Alalwan, A. A., Lal, B., & Dwivedi, Y. K. (2022). Artificial intelligence-based public healthcare systems: G2G knowledge-based exchange to enhance the decision-making process. Government Information Quarterly, 39(4), 101618.
The above article's authors are distinguished academic institutions alumni. The essay looks at the possible advantages of artificial intelligence-based public healthcare systems that could improve knowledge sharing between governments and speed up decision-making. The authors contend that "AI-enabled healthcare systems offer a potential to improve access, quality, and efficiency of healthcare services." The article focuses on several aspects of creating AI-based healthcare systems, including the requirement for user-friendly interfaces, enhanced data accessibility, and the capacity to produce precise and fast insights from data.
The authors also cover the possible drawbacks of AI-enabled healthcare systems, including data security and privacy concerns and the requirement for suitable regulatory measures to ensure its proper and efficient application. The article further lists several conditions that AI-based healthcare systems should meet to guarantee efficiency, security, and user-friendliness. The authors arrive at their conclusion by saying that AI-based healthcare solutions have the potential to change the industry and enhance patient outcomes. When properly implemented, ...