Efficient Korean Name String Similarity Algorithm based on Character of Korean Name and Korean Alphabet

For patient information identification, demographic fields (name and address), and medical information (medical history) are compared in order to measure the similarities. The improvement of algorithm related to Koreans’ Hangul name is necessary in the individual distinguishing part in order to introduce MPI system matching Korea. Since Hangul is a type of combination, we cannot match the names more exactly by the onedimensional distance comparative function which was used in existing English. This paper suggests the algorithm for the Korean name comparison.