ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING: A PARADIGM SHIFT INLABORATORY TURNAROUND TIME MANAGEMENT

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Authors: Rahul E, Shruti H. P
Cited by: 0

Abstract

The chapter discusses the revolutionary impact of Artificial Intelligence (AI) and Machine Learning (ML) on Turnaround Time (TAT) optimization in diagnostic labs. Increasing diagnostic needs and the requirement for accuracy are being met with proactive, computerized solutions by AI/ML technologies that improve workflow efficiency, minimize errors, and enhance patient results. Real-world experiences and future visions illustrate how intelligent automation is transforming labs from reactive environments to intelligent, self-managed ecosystems.

Fields of Study & Subjects

Clinical Laboratory Practices and Quality Control Artificial Intelligence in Healthcare and Education Healthcare Operations and Scheduling Optimization

Publication details

Journal / source
Royal Book Publishing
Pages
1–29
Publication date
1 February 2026
Document type
Book chapter