OBJECTIVE: Today, Korean medical community faces rapid changes in medical environment due to opening of medical market, more emphasis on making profit and introduction of private medical insurance. Therefore, it is apparent that around, major university hospitals, efforts are being made to adapt to such changes by establishing mid to long range strategic plans. We want to keep pace with changing times and diverse demand of patients by introducing state of the art system, utilizing Radio Frequency Identification and Ubiquitous Sensor Network technologies for improvements. In doing so, we want to distinguish our hospital services from others. However, Hospital Information System that integrates ubiquitous technologies are introduced in limited basis due to problems like standardization and limits on medical use, where responsibilities lie, legal safeguard on transmission, invasion of privacy etc. Particularly, problems like absence of tag design suitable for medical environment, compatibility issue with previous medical information system, and also, problems on sharing information with other organizations and patients need to be addressed on application of Radio Frequency Identification technologies.

METHODS: In order to solve such problems, we have designed medical tags for the first time that are consistent with future ubiquitous environment by deciding on medically suitable field with 96bit tag offered by Electronic Product Code as its base. Second, improving on previous multi-tag recognizing crash prevention algorithm, we have designed a priority anti-collision algorithm that reflects priorities on the needs in medical environment, This means, by designing group bit that reflects priorities, this algorithm is able to recognize tags with faster priorities.

RESULTS: For performance evaluation of proposed techniques, we have designed medical tags on 96 bit Philips U-code tag to store and to use medical information. A priority anti-collision algorithm showed superior performance than previous algorithm by recognizing tags with at least 4 times faster priorities.

CONCLUSION: This study represented a priority anti-collision algorithm based on RFID in healthcare environment. we expected that the designed algorithm could provide high quality services in hospital.