POST MARKET CLINICAL EVALUATION OF MEDICAL DEVICES INTEGRATING HEALTH ECONOMICS AND ARTIFICIAL INTELLIGENCE FOR IMPROVED OUTCOME.

Abstract

The post-market clinical evaluation of medical devices plays a crucial role in ensuring long-term safety, performance, and regulatory compliance. With the evolving landscape of healthcare, manufacturers and regulatory bodies are increasingly focusing on real-world evidence, post-market surveillance, and health economics to assess the value and impact of medical technologies. This paper explores the significance of post-market clinical evaluation, the role of health economics in determining cost-effectiveness and reimbursement strategies, and the transformative potential of artificial intelligence (AI) in streamlining data analysis and decision-making. Health economic assessments provide insights into the financial and societal impact of medical devices, influencing regulatory approvals and market adoption. Simultaneously, AI-driven analytics enhance post-market surveillance by detecting adverse events, predicting device performance, and optimizing clinical outcomes. By integrating these elements, stakeholders can improve patient safety, ensure cost efficiency, and foster innovation in medical device development. This study highlights the synergies between post-market clinical evaluation, economic assessments, and AI applications, offering a comprehensive framework for manufacturers and regulators to enhance the lifecycle management of medical devices in an increasingly data-driven healthcare environment.

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