Radio Frequency IDentification (RFID) technology is having a major impact on the health care industry. The success of these RFID applications depends heavily on the quality of the data stream generated by the RFID readers. The main goal of the project is to avoid anomalies by efficient and accurate data cleaning technique. Indeed the use of RFID in hospital brings down the healthcare costs, optimize business process, streamline patient identification processes and improve patient safety. Unreliability of RFID data is classified into three categories: false negatives, false positives and duplicates. False negatives (missed readings), tags are mistakenly assumed to be absent in the reader's detection range; False positives, tags are mistakenly assumed to be present in the reader's detection range. Duplicate readings are classified into reader duplicates and data duplicates. The former occurs when a tag is present in vicinity of more than one reader which is simultaneously sending signals to it; the latter occurs when a reader reads a large amount of non-difference information at a time interval. For cleaning the erroneous data we have used very accurate and efficient data cleaning technique, which saves lot of time, effort and improves patient's security. The current application can be used to construct an elegant hospital environment. © IDOSI Publications, 2013.