MED-LINK: A Web-Based Solution for Innovative Medical Resource Allocation in Healthcare

Medical resource sharing is crucial for addressing shortages and ensuring the timely availability of essential healthcare resources, especially during emergencies. Increase in demands for efficient management and cost effective utilization of scarce medical resources has been occasioned by the recent COVID-19 pandemic with special reference to catering for emergent needs of patients. This research also presents MEDLINK a novel free web-based system that allows the ‘real time’ management and allocation of all necessary resources in the hospital with the support of integrated artificial intelligence. With the help of MEDLINK, resource requirements are predicted, and real-time data on their availability and needful is given; therefore, healthcare facilities can request a bed, equipment, and personnel help, if necessary. It thus avails resource management and the handling of emergent situations beyond the conventional paradigms of a traditional hospital management system that focuses on the decentralized Management Resource units of MEDLINK. It uses Advanced Encryption Standard, 256 bit for data security while it uses MongoDB for data scalability. Compared with previously developed static models, our machine learning approach yields a 30% improvement in response time and a 12% increase in matching accuracy. Stress testing and user polls prove the efficiency of MEDLINK as on comparison to other services it is faster, more accurate, scalable and secure. In addition, already implemented data security measures are presented in the design and its possible further developments are described, which include connection to national health care databases as well as more sophisticated AI-based decision making systems. The main focus of this research is to use automation and intelligent technologies to redesign the medical resource management and enhance healthcare service.