A Survey on AI-Driven Software Testing in Healthcare: Enhancing Outcomes for Elderly Patients

Abstract

As healthcare systems evolve, older adults, particularly those on Medicare, face increasing challenges related to chronic conditions and the need for specialized care. The integration of Artificial Intelligence (AI) in healthcare software testing offers significant opportunities to improve patient outcomes, reduce costs, and enhance system reliability. This paper explores key AIpowered technologies such as self-healing test scripts, predictive analytics, and AI-driven regression testing, which enable the automatic detection and resolution of software issues, minimizing manual intervention and improving the accuracy of diagnoses and treatment plans. Furthermore, AI’s role in usability testing showcases its potential to optimize healthcare interfaces for elderly patients, enhancing accessibility and engagement with telemedicine services. Despite these advancements, the adoption of AI in healthcare faces challenges, including regulatory hurdles, data privacy concerns, and integration with existing legacy systems. However, recent findings underscore the increasing importance of AI in healthcare, resulting in improved outcomes for elderly patients. The paper concludes by examining AI’s future potential in managing chronic diseases, personalizing care, and facilitating real-time health monitoring, highlighting its essential role in the advancement of Medicare and elderly care.

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