Scaling a data retrieval and mining application to the enterprise-wide level.
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Most medical institutions have had difficulty in adopting practices that use stored clinical and administrative data effectively. This stems in part from the lack of available tools to easily and accurately retrieve datasets of interest. In this work, we describe the development of a data retrieval and mining application, Goldminer, which allows authorized personnel at our institution to query clinical and demographic data stores through a graphical, non-programmer interface. It builds upon DXtractor, our previously described tool that retrieves data from a smaller, more specialized dataset. We discuss the difficulties encountered in scaling this application to the enterprise-wide level, and our solutions. (+info)
Filtering Web pages for quality indicators: an empirical approach to finding high quality consumer health information on the World Wide Web.
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The World Wide Web is an increasingly popular source for consumer health information, but many authors have expressed concerns about the quality of health information present on the Internet. We have developed a prototype system that responds to a consumer health query by returning a list of Web pages that are ranked according to the likely quality of the page contents. A computer program identifies some of the criteria that have been suggested for assessing the quality of health information on the Internet. It also identifies characteristics that may serve as proxies for desirable (or undesirable) qualities that are difficult to assess directly using an algorithm. Intervening in the search process and automatically analyzing the contents of each page returned by a general search engine may facilitate the search for high quality consumer health information on the Web. (+info)
The low availability of metadata elements for evaluating the quality of medical information on the World Wide Web.
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A great barrier to the use of Internet resources for patient education is the concern over the quality of information available. We conducted a study to determine what information was available in Web pages, both within text and metadata source code, that could be used in the assessment of information quality. Analysis of pages retrieved from 97 unique sites using a simple keyword search for "breast cancer treatment" on a generic and a health-specific search engine revealed that basic publishing elements were present in low frequency: authorship (20%), attribution/references (32%), disclosure (41%), and currency (35%). Only one page retrieved contained all four elements. Automated extraction of metadata elements from the source code of 822 pages retrieved from five popular generic search engines revealed even less information. We discuss the design of a metadata-based system for the evaluation of quality of medical content on the World Wide Web that addresses current limitations in ensuring quality. (+info)
Analysis of information needs of users of the Stanford Health Information Network for Education.
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OBJECTIVE: To examine the information needs of users of the Stanford Health Information Network for Education (SHINE), an integrated information retrieval (IR) system. METHODS: A subset of queries from the SHINE log were categorized into one or more of 33 categories. RESULTS: Drugs and infectious disease accounted for 25% of categorizations, and otherwise the distribution of categorizations was quite broad. CONCLUSIONS: Attention should be paid to the selection of drug information resources in medical knowledge information retrieval systems. The distribution of query categorizations also suggests that IR systems include a wide range of knowledge resources. (+info)
Medical student database development: a model for record management in a multi-departmental setting.
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Student records flow through medical school offices at a rapid rate. Much of this data is often tracked on paper, spread across multiple departments. The Medical Student Informatics Group at the University of Utah School of Medicine identified offices and organizations documenting student information. We assessed departmental needs, identified records, and researched database software available within the private sector and academic community. Although a host of database applications exist, few publications discuss database models for storage and retrieval of student records. We developed and deployed an Internet based application to meet current requirements, and allow for future expandability. During a test period, users were polled regarding utility, security, stability, ease of use, data accuracy, and potential project expansion. Feedback demonstrated widespread approval, and considerable interest in additional feature development. This experience suggests that many medical schools would benefit from centralized database management of student records. (+info)
The molecular biology database collection: an online compilation of relevant database resources.
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The Molecular Biology Database Collection represents an effort geared at making molecular biology database resources more accessible to biologists. This online resource, available at http://www.oup.co.uk/nar/Volume_28/Issue_01/html /gkd115_gml.html, is intended to serve as a searchable, up-to-date, centralized jumping-off point to individual Web sites. An emphasis has also been placed on including databases where new value is added to the underlying data by virtue of curation, new data connections, or other innovative approaches. (+info)
DBcat: a catalog of 500 biological databases.
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The DBcat (http://www.infobiogen.fr/services/dbcat ) is a comprehensive catalog of biological databases, maintained and curated at Infobiogen. It contains 500 databases classified by application domains. The DBcat is a structured flat-file library, that can be searched by means of an SRS server or a dedicated Web interface. The files are available for download from Infobiogen anonymous ftp server. (+info)
Database resources of the National Center for Biotechnology Information.
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In addition to maintaining the GenBank(R) nucleic acid sequence database, the National Center for Biotechnology Information (NCBI) provides data analysis and retrieval and resources that operate on the data in GenBank and a variety of other biological data made available through NCBI's Web site. NCBI data retrieval resources include Entrez, PubMed, LocusLink and the Taxonomy Browser. Data analysis resources include BLAST, Electronic PCR, OrfFinder, RefSeq, UniGene, Database of Single Nucleotide Polymorphisms (dbSNP), Human Genome Sequencing pages, GeneMap'99, Davis Human-Mouse Homology Map, Cancer Chromosome Aberration Project (CCAP) pages, Entrez Genomes, Clusters of Orthologous Groups (COGs) database, Retroviral Genotyping Tools, Cancer Genome Anatomy Project (CGAP) pages, SAGEmap, Online Mendelian Inheritance in Man (OMIM) and the Molecular Modeling Database (MMDB). Augmenting many of the Web applications are custom implementations of the BLAST program optimized to search specialized data sets. All of the resources can be accessed through the NCBI home page at: http://www.ncbi.nlm.nih. gov (+info)