Application of RFID Technology in Patient Management System

Lash Mapa, Kishan Saha
2015 ASEE Annual Conference and Exposition Proceedings   unpublished
Lash Mapa is a Professor in Industrial/Mechanical Engineering Technology at Purdue University Calumet (PUC). His undergraduate and graduate degrees are in Chemical Engineering. He has several years' experience as a Chemical Engineer, Process and Project manager with European and U.S. manufacturing organizations. Currently, he is involved in the MS Technology program at PUC and has managed over thirty lean six sigma projects with manufacturing, service industry and educational institutions. He
more » ... a certified six sigma black belt and a certified quality engineer with ASQ Mr. Kishan Saha, Purdue University Calumet Kishan Saha has pursued Master's Degree in Industrial Engineering Technology at Purdue University. His graduate research areas involves variable interaction on RFID tag readability and its application in the Medical field and several six sigma projects. In conjunction of graduate studies and research, he also gained hands-on experiences through internship at a full-service food store. He is a ASQ certified Quality Improvement Associate. ABSTRACT Hospitals and other medical service facilities are trying to minimize the time it takes to serve a patient in an efficient manner. Typically, the service time involves identifying the patient, type of service required, history of treatment and accessing personal information. The current methodology consumes excessive time to perform these tasks. In addition, human error can make the procedure even longer. Radio Frequency Identification (RFID) technology can play a key role to retrieve patient data and track patients within the medical facility. A basic RFID system consists of a tag, antenna and a reader. RFID tag is a low power communication device which is capable of storing information that can be attached to the patient ID card. Using this RFID methodology it is possible to access patient information and movement within the medical facility once registered. This paper details how a pilot model was developed to retrieve patient information quickly and locate the individual from registration onwards. A database was designed to facilitate data gathering and organizing them to be retrieved quickly. An output patient profile will be presented.
doi:10.18260/p.23562 fatcat:6cndsq6gcbevhil736otpmiqse