Managing data integrity.
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Data Collection↗
SEARCH · Search PubMed
Results for “Data Storage And Retrieval”
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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CPR systems--resuscitation for health care records.
The concept of computerized patient record systems is becoming increasingly popular in the home care field. What are the possibilities as caring is linked with computers in the age of automation?
Data Display↗
1996 salary survey results. Computer proficiency, community involvement key to job success.
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Case Management↗
The Joint Commission's indicator measurement system: implications for information systems.
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Accreditation↗
Web-based research: an innovative method for nursing research.
Although still in its infancy, the World Wide Web presents unparalleled opportunities for harnessing the power of the Internet to collect data from populations of interest in an economical and efficient manner. Web-based surveys offer a number of strengths including access to specific populations, speed of data access, and decreased data collection and data entry costs. These advantages are likely to increase as more people begin to use the Web as their primary means of communication. Nurse researchers who embrace this technology will become the pioneers in the new age of nursing research.
Computer User Training↗
Using data mining and OLAP to discover patterns in a database of patients with Y-chromosome deletions.
The paper presents a database of published Y chromosome deletions and the results of analyzing the database with data mining techniques. The database describes 382 patients for which 177 different markers were tested: 364 of the 382 patients had deletions. Two data mining techniques, clustering and decision tree induction were used. Clustering was used to group patients according to the overall presence/absence of deletions at the tested markers. Decision trees and On-Line-Analytical-Processing (OLAP) were used to inspect the resulting clustering and look for correlations between deletion patterns, populations and the clinical picture of infertility. The results of the analysis indicate that there are correlations between deletion patterns and patient populations, as well as clinical phenotype severity.
Chromosome Deletion↗
Navigation in medical Internet image databases.
The world wide web (WWW) changes common ideas of database access. Hypertext Markup Language allows the simultaneous presentation of information from different sources such as static pages, results of queries from) databases or dynamically generated pages. 'Therefore, the metaphor of the WWW itself as a database was proposed by Mendelzon and Nlilo in 1998. Against this background the techniques of navigation within WWW-databases and the semantic types of their queries has e been analysed. Forty eight image repositories of different types and content, but all concerning medical essence, have been found by search-engines. Many different techniques are offered to enable navigation ranging from simple HTML-link-lists to complex applets. The applets in particular promise an improvement for navigation. Within the meta-information for querying, only ACR- and UMLS-encoding were found, but not standardized vocabularies like ICD10 or Terminologia Anatomica. UMLS especially shows that a well defined thesaurus can improve navigation. However, of the analysed databases only the UMLS 'metathesaurus' is currently implemented without providing additional navigation support based on the UMLS 'semantic network'. Including the information about relationships between the concepts of the metathesaurus or using the UMLS semantic network could provide a much easier navigation within a network of concepts pointing to multimedia files stored somewhere in the WWW.
Anatomy, Cross-Sectional↗
Digital radiographic imaging in dental practice.
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Computer Peripherals↗
Performance evaluation of the Abbott Cell-Dyn 1800 automated hematology analyzer.
The Cell-Dyn 1800 is a new automated hematology analyzer that provides an 18-parameter blood count and operates at a throughput of 60 specimens per hour. (Clinical significance has not been established for plateletcrit and platelet distribution width; therefore these parameters are not reportable in the United States.) The instrument is smaller than its predecessor and offers a variety of enhanced features, including increased patient data storage, availability of a bar code reader, and a cyanide-free reagent system. Our study comprehensively assessed the analytical characteristics of the instrument in a variety of areas. When applicable the requirements of appropriate NCCLS guideline documents were followed. Instrument background and carryover were shown to be consistent with the performance specification. Accuracy was demonstrated by linearity studies and by comparison of results from the automated blood count parameters of the Cell-Dyn 1700 and from the manual differential method. The instrument-generated results and morphology flags were found to be effective in screening for abnormalities demonstrated by manual morphological assessment. Precision of the Cell-Dyn 1800 instrument was studied over the short term (with fresh blood) as well as the long term with stabilized quality control material. In either case, the instrument exhibited satisfactory performance. The blood count parameters showed acceptable stability during storage experiments, although in the case of mean platelet volume, the Cell-Dyn 1800 results increased during the first 6 hours of storage, reflecting the morphological changes expected of platelets from EDTA-anticoagulated specimens.
Blood Cell Count↗
Commercial clinical data warehouses: from wave of the past to the state of the art.
This article provides an overview of clinical data warehousing and its historical perspective from the early 1990s to present. It uses a survey of five Houston-area healthcare leaders to answer questions such as why commercially available solutions may be more suitable as their enterprise information systems vs. developing them in-house. Which products and vendors are servicing these organizations? What are these organizations looking for when making such strategic purchases? In general, this work is intended as a guideline for healthcare entities to further investigate the commercial clinical data warehousing market and get a feel for industry trends.
Data Collection↗
Direct comparison of a tablet computer and a personal digital assistant for point-of-care documentation in eye care.
New mobile computing devices including personal digital assistants (PDAs) and tablet computers have emerged to facilitate data collection at the point of care. Unfortunately, little research has been reported regarding which device is optimal for a given care setting. In this study we created and compared functionally identical applications on a Palm operating system-based PDA and a Windows-based tablet computer for point-of-care documentation of clinical observations by eye care professionals when caring for patients with diabetes. Eye-care professionals compared the devices through focus group sessions and through validated usability surveys. We found that the application on the tablet computer was preferred over the PDA for documenting the complex data related to eye care. Our findings suggest that the selection of a mobile computing platform depends on the amount and complexity of the data to be entered; the tablet computer functions better for high volume, complex data entry, and the PDA, for low volume, simple data entry.
Attitude of Health Personnel↗
A common and clonable environment to support research using patient data.
The volume and complexity of information systems for data oriented clinical research at Mayo Clinic began to exceed available database-analyst resources. A decision was made to generate a clonable, generic system for health services research; this was implemented for a medium-sized prototype project. Since 1988, it has been reconfigured to support several score data projects at less than one-tenth the cost for database analysts. Further, user involvement and empowerment has increased their satisfaction and inquiry abilities with their specific systems.
Data Interpretation, Statistical↗
Navigating through a document-centered electronic medical record: a mock-up based on WWW technology.
Current WWW technology facilitates the development of "hypertext" applications. A hospital-wide study of users' requirements in France led to a document-centered approach to the patient Electronic Medical Record (EMR). In order to refine such a specification, and taking advantage of WWW technology, we have developed a running mock-up of a document-based EMR from an actual paper-based patient record. Synthesis documents were added and linked to original replicated paper documents to form a hypertextual EMR. The mock-up has been presented to health care professional boards to gather their remarks and wishes, and then enhanced accordingly. The current version reflects (part of) their requirements for an EMR, and is presented in this paper.
Clinical Medicine↗
An intranet-based information system for nurses.
Nurses require extensive information and it must be up to date. At large highly specialized hospitals paper-based communication is not sufficient. This article describes the design and implementation of an intranet-based nursing information system for a major university hospital in Germany. The organizational infrastructure and the technical concept are discussed. The intensive use of the system during the first year of operation indicates an urgent need for computerized nursing information and suggests that intranet technology can meet this need.
Computer Communication Networks↗
A novel document ranking method using the discrete cosine transform.
We propose a new Spectral text retrieval method using the Discrete Cosine Transform (DCT). By taking advantage of the properties of the DCT and by employing the fast query and compression techniques found in vector space methods (VSM), we show that we can process queries as fast as VSM and achieve a much higher precision.
Algorithms↗
A computerized report form for the Cardiac Intensive Care Unit (Cardiac Computer Report - B.M. Kennelly).
A report form is described which has been designed to cover the likely diagnoses of patients admitted to a cardiac intensive care unit. The information entered can readily be stored for computer retrieval and includes biographical and clinical data, information pertaining to medications, procedures, complications, arrhythmias, and electrocardiographic and serum enzyme values, with special reference to patients with acute myocardial infarction. The data is entered by the medical, nursing and secretarial staff prior to encoding and computer storage. The report from which has evolved from its prototype 7 years ago, is described in the hope that it may be a basis for modification to the needs of other cardiac intensive care units presently without a data retrieval system.
Computers↗
Enhancing access to the Bibliome: the TREC Genomics Track.
The growing amount of scientific discovery in genomics and related biomedical disciplines has led to a corresponding increase in the amount of on-line data and information. A new challenge for biomedical researchers has been how to access and manage this ever-increasing quantity of information. The Text Retrieval Conference (TREC) has implemented a Genomics Track to create an experimental environment for research in the use of information retrieval systems in the genomics domain. In the first year of the track, an ad hoc document retrieval task and an information extraction task were carried out by 29 research groups. Future work will focus on more complex data sources, searching tasks, and types of experiments.
Computational Biology↗
Font adaptive word indexing of modern printed documents.
We propose an approach for the word-level indexing of modern printed documents which are difficult to recognize using current OCR engines. By means of word-level indexing, it is possible to retrieve the position of words in a document, enabling queries involving proximity of terms. Web search engines implement this kind of indexing, allowing users to retrieve Web pages on the basis of their textual content. Nowadays, digital libraries hold collections of digitized documents that can be retrieved either by browsing the document images or relying on appropriate metadata assembled by domain experts. Word indexing tools would therefore increase the access to these collections. The proposed system is designed to index homogeneous document collections by automatically adapting to different languages and font styles without relying on OCR engines for character recognition. The approach is based on three main ideas: the use of Self Organizing Maps (SOM) to perform unsupervised character clustering, the definition of one suitable vector-based word representation whose size depends on the word aspect-ratio, and the run-time alignment of the query word with indexed words to deal with broken and touching characters. The most appropriate applications are for processing modern printed documents (17th to 19th centuries) where current OCR engines are less accurate. Our experimental analysis addresses six data sets containing documents ranging from books of the 17th century to contemporary journals.
Abstracting and Indexing↗