Healthcare Technology Testing: An AI-Driven Approach

Author(s)	Preeti Tupsakhare, Tanay Kulkarni
Country	United States
Abstract	Artificial Intelligence (AI) is transforming the healthcare space, particularly in point-of-care testing and clinical laboratory processes. This research investigates how AI can optimize testing workflows, increase efficiency, and improve diagnostic accuracy, while navigating the stringent regulatory environment and critical demands of medical diagnostics. Key objectives include evaluating AI's current role in healthcare testing, analyzing its potential to enhance efficiency and precision, assessing challenges and limitations, and proposing integration strategies that adhere to regulatory requirements. This study employs a comprehensive review of literature, case studies, and emerging AI-driven technologies in healthcare to develop a holistic perspective on AI’s impact and implementation in healthcare testing.
Keywords	AI, Artificial Intelligence. Healthcare, quality assurance, testing, QA, Automation
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 16, Issue 1, January-June 2025
Published On	2025-01-04
Cite This	Healthcare Technology Testing: An AI-Driven Approach - Preeti Tupsakhare, Tanay Kulkarni - IJAIDR Volume 16, Issue 1, January-June 2025. DOI 10.5281/zenodo.14598858
DOI	https://doi.org/10.5281/zenodo.14598858
Short DOI	https://doi.org/g8xpkk

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