TY - JOUR
T1 - Web information retrieval for health professionals
AU - TING, S. L.
AU - SEE-TO, Eric W. K.
AU - TSE, Y. K.
PY - 2013/6
Y1 - 2013/6
N2 - This paper presents a Web Information Retrieval System (WebIRS), which is designed to assist the healthcare professionals to obtain up-to-date medical knowledge and information via the World Wide Web (WWW). The system leverages the document classification and text summarization techniques to deliver the highly correlated medical information to the physicians. The system architecture of the proposed WebIRS is first discussed, and then a case study on an application of the proposed system in a Hong Kong medical organization is presented to illustrate the adoption process and a questionnaire is administrated to collect feedback on the operation and performance of WebIRS in comparison with conventional information retrieval in the WWW. A prototype system has been constructed and implemented on a trial basis in a medical organization. It has proven to be of benefit to healthcare professionals through its automatic functions in classification and summarizing the medical information that the physicians needed and interested. The results of the case study show that with the use of the proposed WebIRS, significant reduction of searching time and effort, with retrieval of highly relevant materials can be attained.
AB - This paper presents a Web Information Retrieval System (WebIRS), which is designed to assist the healthcare professionals to obtain up-to-date medical knowledge and information via the World Wide Web (WWW). The system leverages the document classification and text summarization techniques to deliver the highly correlated medical information to the physicians. The system architecture of the proposed WebIRS is first discussed, and then a case study on an application of the proposed system in a Hong Kong medical organization is presented to illustrate the adoption process and a questionnaire is administrated to collect feedback on the operation and performance of WebIRS in comparison with conventional information retrieval in the WWW. A prototype system has been constructed and implemented on a trial basis in a medical organization. It has proven to be of benefit to healthcare professionals through its automatic functions in classification and summarizing the medical information that the physicians needed and interested. The results of the case study show that with the use of the proposed WebIRS, significant reduction of searching time and effort, with retrieval of highly relevant materials can be attained.
KW - Web information retrieval
KW - Text mining
KW - Web mining
UR - http://commons.ln.edu.hk/sw_master/6167
UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875833336&doi=10.1007%2fs10916-013-9946-3&partnerID=40&md5=1ee4f6d47e44574e1e83d3a3ed6af3b6
U2 - 10.1007/s10916-013-9946-3
DO - 10.1007/s10916-013-9946-3
M3 - Journal Article (refereed)
C2 - 23572176
SN - 0148-5598
VL - 37
JO - Journal of Medical Systems
JF - Journal of Medical Systems
IS - 3
M1 - 9946
ER -