Cognizant Care Machine Learning-Assisted Smart Records for Improved Healthcare

In the era of evolving healthcare demands, the requirement for innovation in record-keeping systems is undeniable. Traditional methods of documenting have difficulties in terms of efficiency, accuracy, and flexibility. The paper addresses an urgent need for a revolutionary solution by proposing "Cognizant Care," a unique system that employs machine learning to build Smart Records, therefore revolutionizing healthcare documentation and decision-making processes. The inefficiencies of legacy systems, which include time-consuming manual data entry and limited predictive capabilities, highlight the need for a novel concept. Cognizant Care's architecture can be incorporated with existing Electronic Health Record systems, providing intelligent data extraction, predictive analytics, decision support, and automated reporting. The results and analysis show a significant improvement demonstrates superior performance with accuracy at 94%, precision of 92%, recall of 88%, and an F1 score of 90%, proving the system's ability to mitigate the drawbacks of existing systems. Cognizant Care emerges as an essential method signifying an evolving era in which the combination of human knowledge and artificial intelligence drives healthcare into a realm of unparalleled achievements.