The impact of Wireless Sensors Networks used in healthcare domains has increased drastically nowadays. The sensors were used to sense the data and subjected to identify the purpose based on the mode it is designed. In this work, the authors have identified an area in the health segment where the usage of sensor node is to identify the person and subsequently identifies the issues based on the value that is stored in the system. When the desired value is reached or attained, the sensors will emit its identification using LED indicator and corresponding methods were adopted to prevent it. The health issues dealt in this paper is for identifying uric acid content in kidney levels. The sensor deployed in this work uses TMOTE low power sensor for tracking and identifying the issues. The work also helps to identify person based on the symptom and evaluation. The TMOTE power sensor though has its own constraints with memory and the proposed work stores the data only in binary format and maximizes the in build memory space.