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Texas physicians fare poorly with geographic practice cost index.

Big changes in the way Medicare pays physicians are coming, thanks to the Omnibus Budget Reconciliation Act of 1989 (OBRA). TMA is monitoring and participating in the plans for those changes. Beginning in 1992, a new fee schedule-based payment system will be phased in over the following 5 years. The Medicare Fee Schedule will be based on three components: the Resource Based Relative Value Scale (RBRVS), a conversion factor, and a geographic adjustment factor, known as the geographic practice cost index (GPCI). In this special section on GPCIs, three experts discuss the effect the GPCIs may have on Texas physicians.

Abstracting and Indexing↗

Indexing and filing of pathological illustrations.

An inexpensive feature card retrieval system has been combined with the Systematised Nomenclature of Pathology (SNOP) to provide simple but efficient means of indexing and filing 2 in. x 2 in. transparencies within a department of pathology. Using this system 2400 transparencies and the associated index cards can be conveniently stored in one drawer of a standard filing cabinet.

Abstracting and Indexing↗

Optimal search strategies for detecting clinically sound prognostic studies in EMBASE: an analytic survey.

BACKGROUND: Clinical end users of EMBASE have a difficult time retrieving articles that are both scientifically sound and directly relevant to clinical practice. Search filters have been developed to assist end users in increasing the success of their searches. Many filters have been developed for the literature on therapy and reviews for use in MEDLINE, but little has been done for use in EMBASE with no filter development for studies of prognosis. The objective of this study was to determine how well various methodologic textwords, index terms, and their Boolean combinations retrieve methodologically sound literature on the prognosis of health disorders in EMBASE. METHODS: An analytic survey was conducted, comparing hand searches of 55 journals with retrievals from EMBASE for 4,843 candidate search terms and 8,919 combinations. All articles were rated using purpose and quality indicators, and clinically relevant prognostic articles were categorized as "pass" or "fail" according to explicit criteria for scientific merit. Candidate search strategies were run in EMBASE, the retrievals being compared with the hand search data. The sensitivity, specificity, precision, and accuracy of the search strategies were calculated. RESULTS: Of the 1,064 articles about prognosis, 148 (13.9%) met basic criteria for scientific merit. Combinations of search terms reached peak sensitivities of 98.7% with specificity at 50.6%. Compared with best single terms, best multiple terms increased sensitivity for sound studies by 12.2% (absolute increase), while decreasing specificity (absolute decrease 5.1%) when sensitivity was maximized. Combinations of search terms reached peak specificities of 93.4% with sensitivity at 50.7%. Compared with best single terms, best multiple terms increased specificity for sound studies by 7.1% (absolute increase), while decreasing sensitivity (absolute decrease 8.8%) when specificity was maximized. CONCLUSION: Empirically derived search strategies combining indexing terms and textwords can achieve high sensitivity or specificity for retrieving sound prognostic studies from EMBASE.

Abstracting and Indexing↗

The CRISP system: an untapped resource for biomedical research project information.

CRISP (Computer Retrieval of Information on Scientific Projects) is a large database maintained and operated by the National Institutes of Health (NIH). It contains comprehensive scientific and selected administrative data on research carried out by the U.S. Public Health Service (PHS) or supported by PHS grants and contracts. Developed originally to meet the needs of NIH, it is an excellent, largely untapped resource for health information professionals at large, revealing new trends, methods, and techniques, often before they appear in the published literature. CRISP uses its own controlled vocabulary, developed to permit indexing of new and active research areas. Queries can combine subject headings with a great variety of administrative data elements (e.g., research category or principal investigator's name). Output is available in a variety of formats and media. While information professionals cannot directly access the CRISP system, abridged CRISP records are merged into the FEDRIP (Federal Research in Progress) database, and FEDRIP is publicly accessible through DIALOG. CRISP records in toxicology are also furnished to the National Library of Medicine's TOXLINE database. This paper discusses the indexing, information retrieval, publication products, and search services of the CRISP system, and how users of medical information can benefit from it.

Abstracting and Indexing↗

The semantic pathfinder: using an authoring metaphor for generic multimedia indexing.

This paper presents the semantic pathfinder architecture for generic indexing of multimedia archives. The semantic pathfinder extracts semantic concepts from video by exploring different paths through three consecutive analysis steps, which we derive from the observation that produced video is the result of an authoring-driven process. We exploit this authoring metaphor for machine-driven understanding. The pathfinder starts with the content analysis step. In this analysis step, we follow a data-driven approach of indexing semantics. The style analysis step is the second analysis step. Here, we tackle the indexing problem by viewing a video from the perspective of production. Finally, in the context analysis step, we view semantics in context. The virtue of the semantic pathfinder is its ability to learn the best path of analysis steps on a per-concept basis. To show the generality of this novel indexing approach, we develop detectors for a lexicon of 32 concepts and we evaluate the semantic pathfinder against the 2004 NIST TRECVID video retrieval benchmark, using a news archive of 64 hours. Top ranking performance in the semantic concept detection task indicates the merit of the semantic pathfinder for generic indexing of multimedia archives.

Abstracting and Indexing↗

Indexing huge genome sequences for solving various problems.

Because of the increase in the size of genome sequence databases, the importance of indexing the sequences for fast queries grows. Suffix trees and suffix arrays are used for simple queries. However these are not suitable for complicated queries from huge amount of sequences because the indices are stored in disk which has slow access speed. We propose storing the indices in memory in a compressed form. We use the compressed suffix array. It compactly stores the suffix array at the cost of theoretically a small slowdown in access speed. We experimentally show that the overhead of using the compressed suffix array is reasonable in practice. We also propose an approximate string matching algorithm which is suitable for the compressed suffix array. Furthermore, we have constructed the compressed suffix array of the whole human genome. Because its size is about 2G bytes, a workstation can handle the search index for the whole data in main memory, which will accelerate the speed of solving various problems in genome informatics.

Abstracting and Indexing↗

A subject index for occupational medical literature.

A subject classification system for organizing files of occupational medical literature is described. In the hierarchical system, based on a textbook integrated index, each subject is assigned a numerical code and articles are coded for filing. Computerized management of the file is discussed.

Abstracting and Indexing↗

Selecting keywords: helping others find your article.

Keywords or indexing words help the intended audience of your article both directly and indirectly. Directly, they help the reader identify the topics covered. Indirectly, they help indexers identify the subject headings used in journal indexes and databases. This article reviews the indexing process, provides a step-by-step way of identifying keywords for your article, and identifies some common pitfalls to avoid.

Abstracting and Indexing↗

Practice parameter: early detection of dementia: mild cognitive impairment (an evidence-based review) [RETIRED]. Report of the Quality Standards Subcommittee of the American Academy of Neurology.

OBJECTIVE: The goal of this project was to determine whether screening different groups of elderly individuals in a general or specialty practice would be beneficial in detecting dementia. BACKGROUND: Epidemiologic studies of aging and dementia have demonstrated that the use of research criteria for the classification of dementia has yielded three groups of subjects: those who are demented, those who are not demented, and a third group of individuals who cannot be classified as normal or demented but who are cognitively (usually memory) impaired. METHODS: The authors conducted computerized literature searches and generated a set of abstracts based on text and index words selected to reflect the key issues to be addressed. Articles were abstracted to determine whether there were sufficient data to recommend the screening of asymptomatic individuals. Other research studies were evaluated to determine whether there was value in identifying individuals who were memory-impaired beyond what one would expect for age but who were not demented. Finally, screening instruments and evaluation techniques for the identification of cognitive impairment were reviewed. RESULTS: There were insufficient data to make any recommendations regarding cognitive screening of asymptomatic individuals. Persons with memory impairment who were not demented were characterized in the literature as having mild cognitive impairment. These subjects were at increased risk for developing dementia or AD when compared with similarly aged individuals in the general population. RECOMMENDATIONS: There were sufficient data to recommend the evaluation and clinical monitoring of persons with mild cognitive impairment due to their increased risk for developing dementia (Guideline). Screening instruments, e.g., Mini-Mental State Examination, were found to be useful to the clinician for assessing the degree of cognitive impairment (Guideline), as were neuropsychologic batteries (Guideline), brief focused cognitive instruments (Option), and certain structured informant interviews (Option). Increasing attention is being paid to persons with mild cognitive impairment for whom treatment options are being evaluated that may alter the rate of progression to dementia.

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Measuring the "managedness" and covered benefits of health plans.

STUDY AIMS: (1) To develop indexes measuring the degree of managedness and the covered benefits of health insurance plans, (2) to describe the variation in these indexes among plans in one health insurance market, (3) to assess the validity of the health plan indexes, and (4) to examine the association between patient characteristics and the health plan indexes. Measures of the "managedness" and covered benefits of health plans are requisite for studying the effects of managed care on clinical practice and health system performance, and they may improve people's understanding of our complex health care system. DATA SOURCES/STUDY SETTING: As part of our larger Physician Referral Study, we collected health insurance information for 189 insurance product lines and 755 products in the Seattle, Washington metropolitan area, which we linked with the study's data for 2,277 patients recruited in local primary care offices. STUDY DESIGN: Managed care and benefit variables were constructed through content analysis of health plan information. Principal component analysis of the variables produced a managedness index, an in-network benefits index, and an out-of-network benefits index. Bivariable analyses examined associations between patient characteristics and the three indexes. PRINCIPAL FINDINGS: From the managed care variables, we constructed three provider-oriented indexes for the financial, utilization management, and network domains of health plans. From these, we constructed a single managedness index, which correlated as expected with the individual measures, with the domain indexes, with plan type (FFS, PPO, POS, HMO), with independent assessments of local experts, and with patients' attitudes about their health insurance. For benefits, we constructed an in-network benefits index and an out-of-network benefits index, which were correlated with the managedness index. The personal characteristics of study patients were associated with the managed care and benefit indexes. Study patients in more managed plans reported somewhat better health than patients in less managed plans. CONCLUSIONS: Indexes of the managedness and benefits of health plans can be constructed from publicly available information. The managedness and benefit indexes are associated with the personal characteristics and health status of study patients. Potential uses of the managed care and benefits indexes are discussed.

Abstracting and Indexing↗

Comparing structural perspectives on Medical Informatics: EMBASE vs. MEDLINE.

Previous bibliometric analyses of Medical Informatics' internal structure used MEDLINE records as the unit of study. EMBASE, a product of Excerpta Medica, carries a wider international scope and offers complementary retrieval results to MEDLINE. Since much medical informatics critical thinking originated abroad and migrated to North America, this difference in coverage may also indicate a different perspective of "what constitutes medical informatics." Using traditional bibliometric and multivariate data analysis techniques, the present work examines EMBASE indexing records for the same 1995-1999 time frame as earlier MEDLINE studies to identify and compare structural features of the field.

Abstracting and Indexing↗

Evaluation of French and English MeSH indexing systems with a parallel corpus.

OBJECTIVE: This paper presents the evaluation of two MeSH indexing systems for French and English on a parallel corpus. MATERIAL AND METHODS: We describe two automatic MeSH in-dexing systems - MTI for English, and MAIF for French. The French version of the evaluation resources has been manually indexed with MeSH keyword/qualifier pairs. This professional indexing is used as our gold standard in the evaluation of both systems on keyword retrieval. RESULTS: The English system (MTI) obtains significantly better precision and recall (78% precision and 21% recall at rank 1, vs. 37%. precision and 6% recall for MAIF ). Moreover, the performance of both systems can be optimised by the break-age function used by the French system (MAIF), which selects an adaptive number of descriptors for each resource indexed. CONCLUSION: MTI achieves better performance. However, both systems have features that can benefit each other.

Abstracting and Indexing↗

Searching for patterns in the MeSH vocabulary.

NLM revises its MeSH vocabulary annually to reflect changes in biomedical literature and the health sciences community. This study tested two hypotheses about NLM's MeSH vocabulary. The first is that new terms are added to MeSH when their broader terms have an increased number of postings. One examination compared the number of postings for the broader terms of new and existing terms in the current MEDLINE file; the other compared them over time. No significant statistical difference was found in either case. A second hypothesis--that there is a relationship between the patterns of MEDLINE indexing and searching and the organization of the MeSH tree structure--was tested by comparing the distribution of searched terms in the MeSH trees with the distribution of all terms. It was found that certain trees are searched more often than could be predicted by the overall term distribution, while others are searched less frequently than expected. In summary, (1) new terms cannot be predicted by the increase in postings of existing terms, and (2) searchers' and indexers' use of the terms' tree structure does not correlate with the terms' distribution in the MeSH trees.

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Information retrieval at the millenium.

Information retrieval systems were among the first medical informatics applications, yet their use has changed substantially in this decade with the growth of end-user computers and the Internet. While early challenges revolved around how to increase the amount of information available in electronic form, more recent challenges center on how to manage the growing volume. Traditional information retrieval issues--such as how to organize and index information to make it more retrievable as well as how to evaluate the effectiveness of systems--are still as pertinent as ever.

Abstracting and Indexing↗

An optoelectronic slide identifier.

An inexpensive optoelectronic slide identifier that uses binary code is described. It can be attached to most automatic projectors and provides for automatic indexing of up to two-hundred and fifty-five different coded slides, while each slide is being projectd.

Abstracting and Indexing↗

Euroethics--a database network on biomedical ethics.

BACKGROUND: EUROETHICS is a database covering European literature on ethics in medicine. It is produced within Eurethnet, a European information network on ethics in medicine and biotechnology. OBJECTIVES: The aim of Euroethics is to disseminate information on European bioethical literature that may otherwise be difficult to find. METHODS: A collaboration model for pooling data from different centres was developed. The policy was to accomplish data uniformity, while still allowing for local differences in terms of software, indexing practices and resources. Records contributed to the database follow common standards in terms of data fields and indexing terms. The indexing terms derive from two thesauri, Thesaurus Ethics in the Life Sciences (TELS) and Medical Subject Headings (MeSH). Combining elements from search tools developed previously, the developers sought to find a technical solution optimized for this data model. An approach relying on a thesaurus database that is loaded along with the bibliographic database is described. RESULTS AND CONCLUSIONS: The present case study offers examples of possible approaches to several tasks often encountered in database development, such as: merging data from diverse sources, getting the most out of indexing terms used in a database, and handling more than one thesaurus in the same system.

Abstracting and Indexing↗

Creating and indexing teaching files from free-text patient reports.

Teaching files based on real patient data can enhance the education of students, staff and other colleagues. Although information retrieval system can index free-text documents using keywords, these systems do not work well where content bearing terms (e.g., anatomy descriptions) frequently appears. This paper describes a system that uses multi-word indexing terms to provide access to free-text patient reports. The utilization of multi-word indexing allows better modeling of the content of medical reports, thus improving retrieval performance. The method used to select indexing terms as well as early evaluation of retrieval performance is discussed.

Abstracting and Indexing↗