The Economics of AI-Driven Healthcare: Efficiency, Cost Reduction, and Access Models
Palabras clave:
AI-driven healthcare, cost reduction, healthcare efficiency, telemedicine, predictive analytics, resource allocation, healthcare economics, personalized medicine, automation in healthcare, healthcare accessResumen
The integration of artificial intelligence (AI) in healthcare promises significant economic benefits, transforming traditional healthcare delivery by enhancing efficiency, reducing costs, and improving access to services. AI-driven solutions, such as machine learning algorithms for diagnostics, robotic surgery, and predictive analytics, are optimizing clinical workflows, minimizing human error, and enabling personalized treatment plans. These technologies are not only improving the quality of care but are also expected to reduce the financial burden on healthcare systems globally.