45 year cumulative index of articles published in Dental Radiography and Photography from Volume 1, Number 1, 1927, through Volume 44, Number 3, 1971.
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Abstracting and Indexing↗
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Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.
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The PHARMSEARCH database.
PHARMSEARCH, a database produced by the French Patent and Trademark Office (INPI), covers pharmaceutical patents issued by the Europeans, French, and United States patent offices from November 1986 onward. PHARMSEARCH is composed of MPHARM, a structure file searchable using Markush DARC software, and PHARM, the companion bibliographic file. Markush structures claimed in the patent documents are entered into the database as variable generic structures. Specific structures are also included in the database, when they are not part of a Markush structure in the patent document. Chemical index terms describe all moieties of the structure. Indexing also describes the therapeutic activities and preparation processes for the compounds. The indexing policies used in the production of this database are described.
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Models and inference methods for clinical systems: a principled approach.
Previous papers have argued for the existence of three different models in many clinical information systems--for the medical record, for inference in guidelines, and for concepts and re-usable facts. This paper presents a principled approach to deciding which information belongs in each model based on the nature of the queries or inference to be performed: necessary or contingent, open or closed world, algorithmic vs heuristic. It then discusses an important class of systems--"ontologically indexed knowledge bases"--and issues of metadata within this framework.
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Measuring severity of illness to predict patient resource use within DRGs.
We describe a new Severity of Illness Index which predicts patient resource use within DRGs and within broad diagnostic categories. Resource use is defined by total charges, length of stay, laboratory charges, radiology charges, and routine charges. Within broad diagnostic categories, the Index explains much more variation in resource utilization than do other case mix grouping methods such as DRGs, generalized patient management paths, and staging groups. Within DRGs, the Index also predicts much of the variation in resource use. We discuss use of the Index to price cases and predict resource use in a hospital.
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Bibliographic control of medical illustrations--a case study in the development of a library subsystem: I. Project planning.
The need to provide bibliographic access to a collection of original medical illustrations led the Library of the University of California, San Francisco, to search for a bibliographic control system and, not finding a satisfactory one, to develop one of its own, Part 1 of the report details the planning for such a development, including the need for bibliographic control of illustrations, the goals of the proposed system, design decisions and changes required, the type of system chosen, special subjects indexing needs, the required output, and staffing and budgetary needs.
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Application of UMLS indexing systems to a WWW-based tool for indexing of digital images.
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Subject indexing of the American Journal of Occupational Therapy in MEDLINE and NAHL.
Rehabilitation professionals need access to current journal literature for research and patient care. Using the American Journal of Occupational Therapy, subject headings from the MEDLINE and NAHL files are compared to determine coincidence and numbers of headings. Based on the study findings, an information retrieval plan is suggested that librarians may use in assisting rehabilitation personnel in effective use of Index Medicus, Cumulative Index to Nursing and Allied Health, and their online counter-parts.
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Impact of SciELO and MEDLINE indexing on submissions to Jornal de Pediatria.
OBJECTIVE: To evaluate the impact of SciELO and MEDLINE indexing on the number of articles submitted to Jornal de Pediatria. METHODS: Analysis of total article submission, submission of articles from foreign countries and acceptance figures in the following periods: stage I - pre-website (Jan 2000-Mar 2001); stage II - website (Apr 2001-Jul 2002); stage III - SciELO (Aug 2002-Aug 2003); stage IV - MEDLINE (Sep 2003-Dec 2004). RESULTS: There was a significant trend toward linear increase in the number of submissions along the study period (p = 0.009). The number of manuscripts submitted in stages I through IV was 184, 240, 297, and 482, respectively. The number of submissions was similar in stages I and II (p = 0.148), but statistically higher in Stage III (p < 0.001 vs. Stage I and p = 0.006 vs. Stage II) and Stage IV (p < 0.001 vs. stages I and II, and p < 0.05 vs. stage III). The rate of article acceptance decreased during the study period. The number of original articles published has been stable since the 2001 March/April issue (n = 10), when the journal reached a printed page limit, leading to stricter judgment criteria and a relative decrease in acceptance rate. The number of foreign submissions in stages I through IV was 1, 2, zero and 17, respectively, with p < 0.001 for the comparison of stage IV with previous stages. CONCLUSIONS: SciELO indexing was associated with an increase in Brazilian manuscript submissions to Jornal de Pediatria, whereas MEDLINE indexing led to an increase in both Brazilian and foreign submissions.
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CINAHL and MEDLINE: a comparison of indexing practices.
A random sample of fifty nursing articles indexed in both MEDLINE and CINAHL (NURSING & ALLIED HEALTH) during 1986 was used for comparing indexing practices. Indexing was analyzed by counting the number of major descriptors, the number of major and minor descriptors, the number of indexing access points, the number of common indexing access points, and the number and type of unique indexing access points. The study results indicate: there are few differences in the number of major descriptors used, MEDLINE uses almost twice as many descriptors, MEDLINE has almost twice as many indexing access points, and MEDLINE and CINAHL provide few common access points.
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Selective automated indexing of findings and diagnoses in radiology reports.
The recent improvements in capabilities of desktop computers and communications networks give impetus for the development of clinical image repositories that can be used for patient care and medical education. A challenge in the use of these systems is the accurate indexing of images for retrieval performance acceptable to users. This paper describes a series of experiments aiming to adapt the SAPHIRE system, which matches text to concepts in the UMLS Metathesaurus, for the automated indexing of image reports. A series of enhancements to the baseline system resulted in a recall of 63% but a precision of only 30% in detecting concepts. At this level of performance, such a system might be problematic for users in a purely automated indexing environment. However, if the ability to retrieve images in repositories based on content in their reports is desired by clinical users, and no other current systems offer this functionality, then follow-up research questions include whether these imperfect results would be useful in a completely or partially automated indexing environment and/or whether other approaches can improve upon them.
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Reliability and validity of the Severity of Illness Index.
The authors discuss the objectives and definition of the Severity of Illness Index, which has been developed and refined at The Johns Hopkins University over the past 5 years. In addition, the training program for raters, the method used to ascertain reliability, and data from reliability testing in 18 hospitals are described. After at least 2 months' experience with severity scoring, the average agreement between hospital raters and the staff reliability rater varied between 90.8% and 97.7%, with an overall weighted average agreement of 93.5%. Several methods to evaluate the validity of the Index are presented. The conclusion is that the Severity of Illness Index is a reliable and valid tool for measuring inpatient severity of illness.
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A randomized controlled trial of concept based indexing of Web page content.
OBJECTIVE: Medical information is increasingly being presented in a web-enabled format. Medical journals, guidelines, and textbooks are all accessible in a web-based format. It would be desirable to link these reference sources to the electronic medical record to provide education, to facilitate guideline implementation and usage and for decision support. In order for these rich information sources to be accessed via the medical record they will need to be indexed by a single comparable underlying reference terminology. METHODS: We took a random sample of 100 web pages out of the 6,000 web pages on the Mayo Clinic's Health Oasis web site. The web pages were divided into four datasets each containing 25 pages. These were humanly reviewed by four clinicians to identify all of the health concepts present (R1DA, R2DB, R3DC, R4DD). The web pages were simultaneously indexed using the SNOMED-RT beta release. The indexing engine has been previously described and validated. A new clinician reviewed the indexed web pages to determine the accuracy of the automated mappings as compared with the human identified concepts (R4DA, R3DB, R2DC, R1DD). RESULTS: This review found 13,220 health concepts. Of these 10,383 concepts were identified by the initial human review (78.5% +/- 3.6%). The automated process identified 10,083 concepts correctly (76.3% +/- 4.0%) from within this corpus. The computer identified 2,420 concepts, which were not identified by the clinician's review but were upon further consideration important to include as health concepts. There was on average a 17.1% +/- 3.5% variability in the human reviewers ability to identify the important health concepts within web page content. Concept Based Indexing provided a positive predictive value (PPV) of finding a health concept of 79.3% as compared with keyword indexing which only has a PPV of 33.7% (p < 0.001). CONCLUSION: SNOMED-RT is a reasonable ontology for web page indexing. Concept based indexing provides a significantly greater accuracy in identifying health concepts when compared with keyword indexing.
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The Index Medicus: why it works and when it doesn't.
A user study of the Index Medicus done at the Walter Reed Army Medical Center included responses from a group of sixty researchers, clinicians, residents, and interns. An analysis of the questionnaire shows that, while all respondents use the Index Medicus, most use it to search for a specific subject or a specific author reference. Comments received were critical of the delay from the time of journal publication until the appearance of its citation in Index Medicus. Suggestions were offered concerning the type of publication most of the respondents would prefer.
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An integrated medical record and data system for primary care. Part 3: the diagnostic index manual and computer methods and applications.
Manual and computer versions of the diagnostic of the index-E-Book are described. Methods for establisment and maintenance of both indexes are given and the relative merits of each are delineated. Uses of diagnostic indexes are presented which are appropriate to solo and group practices. The role of the diagnostic index in curriculum development within a family practice training setting is also illustrated.
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NEW CONCEPTS IN INDEXING.
Recent trends in indexing emphasize mechanical, not intellectual, developments. Mechanized operations have produced indexes in depth (1) of information on limited areas of science or (2) utilizing limited parameters for analysis. These indexes may include only citations or both useful data and citations of source literature. Both keyword-in-context and citation indexing seem to be passing the test of the marketplace. Mechanical equipment has also been successfully used to manipulate EAM cards for production of index copy. Information centers are increasingly being used as control devices in narrowly defined subject areas. Authors meet growing pressures to participate in information control work by preparing abstracts of their own articles. Mechanized image systems persist, although large systems are scarce and the many small systems may bring only limited relief for information control and retrieval problems. Experimentation and limited development continue on theory and technique of automatic indexing and abstracting.
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A pilot study of contextual UMLS indexing to improve the precision of concept-based representation in XML-structured clinical radiology reports.
OBJECTIVE: Despite the advantages of structured data entry, much of the patient record is still stored as unstructured or semistructured narrative text. The issue of representing clinical document content remains problematic. The authors' prior work using an automated UMLS document indexing system has been encouraging but has been affected by the generally low indexing precision of such systems. In an effort to improve precision, the authors have developed a context-sensitive document indexing model to calculate the optimal subset of UMLS source vocabularies used to index each document section. This pilot study was performed to evaluate the utility of this indexing approach on a set of clinical radiology reports. DESIGN: A set of clinical radiology reports that had been indexed manually using UMLS concept descriptors was indexed automatically by the SAPHIRE indexing engine. Using the data generated by this process the authors developed a system that simulated indexing, at the document section level, of the same document set using many permutations of a subset of the UMLS constituent vocabularies. MEASUREMENTS: The precision and recall scores generated by simulated indexing for each permutation of two or three UMLS constituent vocabularies were determined. RESULTS: While there was considerable variation in precision and recall values across the different subtypes of radiology reports, the overall effect of this indexing strategy using the best combination of two or three UMLS constituent vocabularies was an improvement in precision without significant impact of recall. CONCLUSION: In this pilot study a contextual indexing strategy improved overall precision in a set of clinical radiology reports.
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[Index Copernicus: The Central and Eastern European Journals Ranking System. Why indexing needed in the region?] .
Index Copernicus is ranking system set up by members of the medical community in the Region. There were created five groups of parameters like scientific, editorial and technical quality, circulation and frequency-market stability, which allow for the generation of such a ranking system. The Authors of the Ranking System are aware of the deficiencies of parametrical analysis of science, however they believe the numbers at least set up clear, objective and just rules for all. Index Copernicus could be said the primary objectives of the system for which it has been created for.
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Empirical formulation of a generic query set for clinical information retrieval systems.
Information needs in clinical practice take the form of specific questions about a given clinical situation, and are best satisfied by concise and specific information retrieval. We sought to develop a comprehensive set of generic queries for information retrieval from electronic medical information resources. We collected one hundred and ten real-world questions asked at the point of care in a variety of settings, and from these developed a set of generic queries of which each of the real-world queries could be shown to be a special case. To provide allowed values for each of the concept terms in the queries, we defined generic nouns as unions of UMLS semantic types, and specified which of these were appropriate to each query. We have begun to use the set to index reference texts from general and subspecialty medicine, and found it capable of full text indexing in the clinical domain. We hypothesize that the query set can serve as a basis for more specialized query sets, and that it will remain generalizable to other electronic medical resources, indexing tasks, and non-UMLS controlled vocabularies.
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