Automated Patient Care Analysis to Prioritize Critical Cases Through Sensor-Based Monitoring

This paper proposes a novel Digital Priority Allocation System (DPAS) for hospitals, leveraging sensor technology and real-time data management to optimize patient care prioritization. Aiming to address challenges like delayed checkups and inadequate attention, the DPAS utilizes sensor-based data collection and automated analysis to prioritize critical cases. The system integrates hardware components like sensor modules and microcontrollers with software frameworks like Python and Google Firebase. Testing methodologies ensure DPAS effectiveness in simulating patient vitals and optimizing resource allocation. This paper highlights the societal and industrial benefits of DPAS in revolutionizing healthcare decision-making and enhancing patient care. It provides a blueprint for implementing the system, paving the way for efficient and patient-centric healthcare solutions.