TY - GEN
T1 - An automated approach to studying health resource and infobutton use
AU - Chen, Elizabeth S.
AU - Bakken, Suzanne
AU - Currie, Leanne M.
AU - Patel, Vimla L.
AU - Cimino, James J.
N1 - Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2006
Y1 - 2006
N2 - Many studies have found that clinicians require access to medical knowledge sources while viewing data in their patients' health records. To address this need, we have been developing links to various on-line health information resources from our Web-based clinical information system (WebCIS). Clinicians can access these resources through a 'Health Resources' Web page or use context-sensitive 'infobuttons' that automatically link to specific resources. To assist in understanding how clinicians interact with these two mechanisms, we have been exploring the use of an automated approach to answer questions about usage for guiding the further development of links to resources. In this paper, we discuss the use of a knowledge discovery technique (CIS Usage Mining) to obtain usage statistics from log files that record interactions with health resources and infobuttons in WebCIS, describe a Web-based interface developed to present the results, and summarize how the results could be applied. The availability of effective links to on-line medical knowledge sources from the patient health record can assist in resolving information needs, potentially improving patient care and decision-making.
AB - Many studies have found that clinicians require access to medical knowledge sources while viewing data in their patients' health records. To address this need, we have been developing links to various on-line health information resources from our Web-based clinical information system (WebCIS). Clinicians can access these resources through a 'Health Resources' Web page or use context-sensitive 'infobuttons' that automatically link to specific resources. To assist in understanding how clinicians interact with these two mechanisms, we have been exploring the use of an automated approach to answer questions about usage for guiding the further development of links to resources. In this paper, we discuss the use of a knowledge discovery technique (CIS Usage Mining) to obtain usage statistics from log files that record interactions with health resources and infobuttons in WebCIS, describe a Web-based interface developed to present the results, and summarize how the results could be applied. The availability of effective links to on-line medical knowledge sources from the patient health record can assist in resolving information needs, potentially improving patient care and decision-making.
KW - Computerized
KW - Information Storage and Retrieval
KW - Medical Records Systems
UR - http://www.scopus.com/inward/record.url?scp=39049175925&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=39049175925&partnerID=8YFLogxK
M3 - Conference contribution
C2 - 17102263
AN - SCOPUS:39049175925
SN - 158603622X
SN - 9781586036225
T3 - Studies in Health Technology and Informatics
SP - 273
EP - 278
BT - Consumer-Centered Computer-Supported Care for Healthy People - Proceedings of NI 2006
PB - IOS Press
T2 - 9th International Congress on Nursing Informatics, NI 2006
Y2 - 9 June 2006 through 21 June 2006
ER -