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1.
Proc AMIA Symp ; : 556-60, 2000.
Article in English | MEDLINE | ID: mdl-11079945

ABSTRACT

ClinicalTrials.gov is a Web-based system intended for a diverse audience, including patients, family members and other members of the public. Throughout the system design and development process, our decisions have been driven by usability concerns. We first describe the overall design of the site, including the home page, which provides a site overview and rapid access to the information contained within it. Next we discuss the data presentation format which has been standardized in spite of data coming to us from many different sources. We provide a detailed description of the search and browse features that are intended to simplify the complexities of medical terminology and support information discovery. We conclude with a review of our evaluation activities and future plans.


Subject(s)
Clinical Trials as Topic , Information Storage and Retrieval/methods , Internet , Databases as Topic/organization & administration , Evaluation Studies as Topic , National Institutes of Health (U.S.) , Unified Medical Language System , United States , User-Computer Interface
2.
Proc AMIA Symp ; : 107-11, 1999.
Article in English | MEDLINE | ID: mdl-10566330

ABSTRACT

We conducted a study of user queries to the National Library of Medicine Web site over a three month period. Our purpose was to study the nature and scope of these queries in order to understand how to improve users' access to the information they are seeking on our site. The results show that the queries are primarily medical in content (94%), with only a small percentage (5.5%) relating to library services, and with a very small percentage (.5%) not being medically relevant at all. We characterize the data set, and conclude with a discussion of our plans to develop a UMLS-based terminology server to assist NLM Web users.


Subject(s)
Information Services/statistics & numerical data , Internet/statistics & numerical data , National Library of Medicine (U.S.) , Terminology as Topic , Databases as Topic , Humans , Information Storage and Retrieval/methods , MEDLINE/statistics & numerical data , Unified Medical Language System , United States
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