How physicians and biomedical scientists in India learn information-seeking skills.
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We applied the Photo-CD technology to create an electronic image file easy and quick to use to optimize the retrieval of medical images for teaching purposes. We digitized 1,500 slides of diagnostic examinations from the archive of our Institution: the corresponding electronic files were stored on Photo-CD disks. The data relevant to every image were collected and recorded with the help of a relational data-base program. Thus, each user could retrieve the suitable images from the optical disks by a multiple and flexible key-word search. We compared the use of the electronic archive with a traditional hand-based file with the help of 3 teachers committed to prepare a lesson containing 5 slides on different subjects. The use of the electronic image archive corresponded to markedly shorter searching and file updating times. We tried also to assess the capabilites of this filing procedure for image post-processing and for the build-up of self-assessment programs.
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The goal of this study was to assess the usage frequency, user satisfaction, and quality of literature searchers for a multi-application computer workstation in a university-based general medicine clinic. A computer with medical literature searching, textbook searching, and a decision-support program was deployed in the workroom of the clinic and made available for routine use. Data were collected for ten months. More than three quarters of the study participants used the computer, with use increasing by level of medical training. Despite physicians' known preferences for nonjournal sources of information, literature searching was the application used most frequently, followed by textbooks and decision support. The literature searches were replicated by experienced clinician and librarian searchers using first full MEDLINE and then text-word-only searching, to compare the quantities of relevant references retrieved. Novice searchers retrieved a larger number of relevant references than did the experienced searchers, but they also retrieved more nonrelevant references. For both groups of experienced searchers, the full MEDLINE feature set conferred little benefit over searching with only text words. These searching results call into question the value of traditional searching methods for both novice and experienced physicians.
A field-based evaluation is conducted of a Clinical Computerized Information System (CCIS). Following training, the use of the CCIS database, word processing and other programs by thirteen full-time practicing emergency physicians in two urban emergency departments of a University-associated teaching hospital was studied over a one-year period. A tracking program automatically logged frequency and duration of use by the physicians, and user satisfaction was assessed by a reliable and validated questionnaire instrument. Based on utilization data and verbal reports of these physicians, CCIS database searching was not only found to be easy-to-learn but was readily accessible during emergency shifts. Individual physicians were found to perform an average of 3.5 searches per month lasting a mean search time of 8 min. Positive notes about the CCIS system included ease-of-use, accuracy of data, accessibility of system, and value of output while negative perceptions included a lack of integration with other systems, a lack of system completeness, and a high subscription cost. It was suggested that a less costly telephone link to a high-volume Centre would be desirable in actual implementation of the system.
PIR-International is an association of macromolecular sequence data collection centers dedicated to fostering international cooperation as an essential element in the development of scientific databases. A major objective of PIR-International is to continue the development of the Protein Sequence Database as an essential public resource for protein sequence information. This paper briefly describes the architecture of the Protein Sequence Database and how it and associated data sets are distributed and can be accessed electronically.
HSSP (homology-derived structures of proteins) is a derived database merging structural (2-D and 3-D) and sequence information (1-D). For each protein of known 3D structure from the Protein Data Bank, the database has a file with all sequence homologues, properly aligned to the PDB protein. Homologues are very likely to have the same 3D structure as the PDB protein to which they have been aligned. As a result, the database is not only a database of sequence aligned sequence families, but it is also a database of implied secondary and tertiary structures.
The ENZYME data bank is a repository of information relative to the nomenclature of enzymes. It is primarily based on the recommendations of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology (IUBMB) and it contains the following data for each type of characterized enzyme for which an EC (Enzyme Commission) number has been provided: EC number Recommended name Alternative names (if any) Catalytic activity Cofactors (if any) Pointers to the SWISS-PROT protein sequence entrie(s) that correspond to the enzyme (if any) Pointers to human disease(s) associated with a deficiency of the enzyme (if any).
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OBJECTIVE: To develop a quantitative method for measuring library user journal needs based on an analysis of bibliographic search results. DESIGN: Retrospective bibliometric comparison of citation selections generated by users in the library. MEASURES: Number of times each journal was identified by library users during multiple bibliographic search sessions. RESULTS: Library users identified 4907 journal titles. The top 200 journal titles accounted for 55% of the library user journal needs. Of the 1380 unique titles identified, 652 were selected once. CONCLUSION: Our pilot study demonstrated that analysis of bibliographic search results can be used to identify library user journal needs. Such a method could also be used to estimate user requirements for online, full-text scientific journals.
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