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1.  Evidence-based Medicine Search: a customizable federated search engine 
Purpose: This paper reports on the development of a tool by the Arizona Health Sciences Library (AHSL) for searching clinical evidence that can be customized for different user groups.
Brief Description: The AHSL provides services to the University of Arizona's (UA's) health sciences programs and to the University Medical Center. Librarians at AHSL collaborated with UA College of Medicine faculty to create an innovative search engine, Evidence-based Medicine (EBM) Search, that provides users with a simple search interface to EBM resources and presents results organized according to an evidence pyramid. EBM Search was developed with a web-based configuration component that allows the tool to be customized for different specialties.
Outcomes/Conclusion: Informal and anecdotal feedback from physicians indicates that EBM Search is a useful tool with potential in teaching evidence-based decision making. While formal evaluation is still being planned, a tool such as EBM Search, which can be configured for specific user populations, may help lower barriers to information resources in an academic health sciences center.
PMCID: PMC2268222  PMID: 18379665
2.  Technology mediator: a new role for the reference librarian? 
The Arizona Health Sciences Library has collaborated with clinical faculty to develop a federated search engine that is useful for meeting real-time clinical information needs. This article proposes a technology mediation role for the reference librarian that was inspired by the project, and describes the collaborative model used for developing technology-mediated services for targeted users.
PMCID: PMC1618854  PMID: 17040566
3.  Web usage mining at an academic health sciences library: an exploratory study 
Objectives: This paper explores the potential of multinomial logistic regression analysis to perform Web usage mining for an academic health sciences library Website.
Methods: Usage of database-driven resource gateway pages was logged for a six-month period, including information about users' network addresses, referring uniform resource locators (URLs), and types of resource accessed.
Results: It was found that referring URL did vary significantly by two factors: whether a user was on-campus and what type of resource was accessed.
Conclusions: Although the data available for analysis are limited by the nature of the Web and concerns for privacy, this method demonstrates the potential for gaining insight into Web usage that supplements Web log analysis. It can be used to improve the design of static and dynamic Websites today and could be used in the design of more advanced Web systems in the future.
PMCID: PMC521513  PMID: 15494757

Results 1-3 (3)