The integration of modern algorithms in healthcare has revolutionized the field, enabling smarter, more efficient, and personalized patient care. The application of artificial intelligence (AI), machine learning (ML), and data analytics has provided healthcare professionals with powerful tools to diagnose diseases, predict outcomes, and tailor treatments to individual patients. This chapter explores the key algorithms employed in smart healthcare and their various applications. The applications that are covered in this chapter are:
14.1 Patient Flow Scheduling and Capacity Planning
Patient flow scheduling and capacity planning are crucial aspects of healthcare management. These processes ensure that healthcare facilities can handle patient intake efficiently and effectively, minimizing wait times and optimizing resource utilization. Key algorithms used in this domain include (Figure 14.1):
Figure 14.1 Learning algorithms used in healthcare.
14.1.1 Queueing Theory
Queueing theory models patient arrivals, service processes, and wait times, providing a structured approach to understanding and optimizing the flow of patients through healthcare systems. By analyzing various parameters such as arrival rates, ...
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