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PubMed1982

Publications resulting from anesthesia meeting abstracts.

Of 55 abstracts presented at the 1979 annual meeting of the International Anesthesia Research Society (I.A.R.S.) 24 (43.6%) and of 62 abstracts presented at the 1980 annual meeting of the I.A.R.S. 25 (40.3%) were published by July 1, 1981. Of 324 abstracts presented at the 1978 annual meeting of the American Society of Anesthesiologists (A.S.A.) 98 papers (30.1%) were published by January 1, 1981. Eighty-two percent of the I.A.R.S. meeting papers and 66.7% of the A.S.A. papers were published in anesthesia journals, and the rest of the papers appeared in publications representing a variety of other disciplines. The average lag time between publication of the abstract and publication as an article was 8.2 months for I.A.R.S. abstracts and 12.2 months for A.S.A. abstracts. By July 1, 1981, four 1979 I.A.R.S. abstracts were filed in Science Citation Index (SCI) as cited reference and by January 1, 1981, fifty-six 1979 A.S.A. abstracts were filed.

Abstracting and Indexing↗
PubMed1987

Severity of Illness Index and the Adverse Patient Occurrence Index. A reliability study and policy implications.

Seven hundred fifty-two randomly selected charts from seven teaching hospitals were rated by pairs of medical record analysts. The Severity of Illness Index was unreliable with an interrater-agreement rate of 73% (kappa statistic = 0.41), and demonstrated a significant (P less than 0.0001) association with the Adverse Patient Occurrence (APO) Index. This suggests that the Severity of Illness Index is not differentiating severity of illness from quality of care. The fair to poor field reliability stems from underlying instrument subjectivity, lack of clear referent groups, and time pressure. The APO Index was also found to be unreliable (r = 0.33 and range = -0.05-0.58). Greater attention should be directed to improving objective discharge abstract, billing, and laboratory data for measuring patient severity and adverse patient occurrences.

Abstracting and Indexing↗
PubMed1996

Revision of the CPI hospital services component.

Upcoming modifications are designed to capture current service delivery patterns, reimbursement methods, and payment sources for hospital visits, rather than what the hospital charges for individual treatment inputs; the result will be an index that better reflects price changes in the dynamic health care field.

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PubMed2000

Development of a MeSH-based index of faculty research interests.

An index of faculty research interests terms has many uses for an institution's researchers and administrators. This paper describes the Faculty Research Interests Project (FRIP), which addresses vocabulary and compliance problems inherent in research interests index development. FRIP creates an index using Medical Subject Headings (MeSH) associated with the MEDLINE-indexed publications of faculty authors. Following a preliminary study, a Web-based term selection component was developed that allows faculty users not only to choose MeSH terms but also to add both additional author names under which they have published and original terms in real time. In a study involving 136 medical school faculty, users successfully navigated the term selection component, and more than 90 percent of the terms they selected were MeSH terms, confirming MeSH's usefulness for indexing research interests.

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PubMed1993

Accuracy of indexing coverage information as reported by serials sources.

This article reports on the accuracy of indexing service coverage information listed in three serials sources: Ulrich's International Periodicals Directory, SERLINE, and The Serials Directory. The titles studied were randomly selected journals that began publication in either 1981 or 1986. Aggregate results reveal that these serials sources perform at 92%, 97%, and 95% levels of accuracy respectively. When the results are analyzed by specific indexing services by year, the performance scores ranged from 80% to 100%. All three serials sources tend to underreport index coverage. The author advances five recommendations for improving index coverage accuracy and four specific proposals for future research. The results suggest that, for the immediate future, librarians should treat index coverage information reported in these three serials sources with some skepticism.

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PubMed1995

Reasons for the loss of sensitivity and specificity of methodologic MeSH terms and textwords in MEDLINE.

OBJECTIVE: To determine the reasons for the loss of sensitivity and specificity of methodologic MeSH terms and textwords in MEDLINE for identifying sound clinical studies of the etiology, prognosis, diagnosis, prevention, or treatment of disorders in adult general medicine. DESIGN: Analytic survey of the information retrieval properties of methodologic MeSH terms and textwords selected to detect studies meeting basic methodologic criteria for direct clinical use in general adult medicine. MEASURES: Frequency of non-use and misuse of relevant methodologic MeSH terms and textwords among studies meeting and not meeting the basic criteria for clinical practice as determined by the manual review (the gold standard) of all articles in 10 internal and general medicine journals for 1986 and 1991. RESULTS: Loss of sensitivity due to the non-use of relevant methodologic terms among articles meeting basic methodologic criteria was more pronounced in the areas of diagnosis, prognosis, and etiology than treatment in 1991 and 1986. The use of relevant methodologic terms has improved from 1986 to 1991 in all areas except prognosis. Loss of specificity due to the use of relevant methodologic terms among articles not meeting basic methodologic criteria occurred most frequently in the areas of treatment and etiology. CONCLUSIONS: Although the appropriate use of methodologic MeSH and textwords has improved from 1986 to 1991 among studies meeting basic methodologic criteria for direct clinical use in general adult medicine much improvement is still needed in the areas of diagnosis, prognosis, and etiology. Improvement is needed in assigning the relevant methodologic index terms to studies that meet the methods criteria and in having the authors use the relevant methodologic textwords in the title or abstract. Some improvement is also needed in not using methodologic terms when the study clearly does not meet the methods criteria.

Abstracting and Indexing↗
PubMed1990

SAPHIRE--an information retrieval system featuring concept matching, automatic indexing, probabilistic retrieval, and hierarchical relationships.

SAPHIRE (Semantic and Probabilistic Heuristic Information Retrieval Environment) is an experimental computer program designed to test new techniques in automated information retrieval in the biomedical domain. A main feature of the program is a concept-finding algorithm that processes free text to find canonical concepts. The algorithm is designed to handle a wide variety of synonyms and convert them to canonical form. This allows natural language to be used for query input and also serves as the basis for a new approach to automatic indexing based on a combination of probabilistic and linguistic methods.

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PubMed1992

Evaluation of a Meta-1-based automatic indexing method for medical documents.

This paper describes MetaIndex, an automatic indexing program that creates symbolic representations of documents for the purpose of document retrieval. MetaIndex uses a simple transition network parser to recognize a language that is derived from the set of main concepts in the Unified Medical Language System Metathesaurus (Meta-1). MetaIndex uses a hierarchy of medical concepts, also derived from Meta-1, to represent the content of documents. The goal of this approach is to improve document retrieval performance by better representation of documents. An evaluation method is described, and the performance of MetaIndex on the task of indexing the Slice of Life medical image collection is reported.

Abstracting and Indexing↗
PubMed1996

The International Classification of Primary Care (ICPC): new applications in research and computer-based patient records in family practice.

The international Classification of Primary Care (ICPC) has now been available to the family medicine community for a decade as the main ordering principle of its domain. Research data and practical experiences with ICPC, as well as the development of new concepts in family medicine, have resulted in new applications. The structure of episodes of care to be included in a computer-based patient record has been further developed and refined. ICPC as the ordering principle of patient data is now available in 19 languages. Its conversion structure with the International Classification of Diseases (ICD-10) allows the highest possible level of specificity in a patient's problem list necessary in patient care, while the compatibility of the ICPC drug codes with the Anatomic Therapeutic Chemical Classification Index allows the systematic inclusion of data on prescription.

Abstracting and Indexing↗
PubMed2001

Automatic MeSH term assignment and quality assessment.

For computational purposes documents or other objects are most often represented by a collection of individual attributes that may be strings or numbers. Such attributes are often called features and success in solving a given problem can depend critically on the nature of the features selected to represent documents. Feature selection has received considerable attention in the machine learning literature. In the area of document retrieval we refer to feature selection as indexing. Indexing has not traditionally been evaluated by the same methods used in machine learning feature selection. Here we show how indexing quality may be evaluated in a machine learning setting and apply this methodology to results of the Indexing Initiative at the National Library of Medicine.

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PubMed1995

Contextual models of clinical publications for enhancing retrieval from full-text databases.

Conventional methods for retrieving information from the medical literature are imprecise and inefficient. Information retrieval systems employ unmanageable indexing vocabularies or use full-text representations that overwhelm the user with irrelevant information. This paper describes a document representation designed to improve the precision of searching in textual databases without significantly compromising recall. The representation augments simple text word representations with contextual models that reflect recurring semantic themes in clinical publications. Using this representation, a searcher may indicate both the terms of interest and the contexts in which they should occur. The contexts limit the potential interpretations of text words, and thus form the basis for more precise searching. In this paper, we discuss the shortcomings of traditional retrieval systems and describe our context-based representation. Improved retrieval performance with contextual models is illustrated by example, and a more extensive study is proposed. We present an evaluation of the contextual models as an indexing scheme, using a variation of the traditional inter-indexer consistency experiments, and we demonstrate that contextual indexing is reproducible by minimally trained physicians and medical students.

Abstracting and Indexing↗
PubMed1995

Automated MeSH indexing of the World-Wide Web.

To facilitate networked discovery and information retrieval in the biomedical domain, we have designed a system for automatic assignment of Medical Subject Headings to documents retrieved from the World-Wide Web. Our prototype implementations show significant promise. We describe our methods and discuss the further development of a completely automated indexing tool called the "Web-MeSH Medibot."

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