Optimizing Hospital Workflows Through Artificial Intelligence

Abstract

The integration of latest technologies like Artificial Intelligence (AI) plays a vital role in improving the Healthcare systems right from real time monitoring, health record maintenance and efficient disease diagnosis and appropriate treatment. AI systems incorporate machine learning (ML) models, Deep learning models (DL) models, IOT devices and sensor data to provide real time monitoring of patient health. AI models assess lung imaging and real-time oxygen saturation data to predict respiratory deterioration. The power of AI in predictive analytics helps in identifying disease at the early stage to plan for faster treatment and recovery. Automated documentation and AI-powered EHR enhances clinical workflows reducing errors and improves patient data management. Generally, the hospitals have large amount of patient data. The usage of AI helps to derive actionable insights from these data that aids in better and faster recovery reducing mortality rates

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