PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “Database Management Systems”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 307 records · Page 17Linked to original sources
PubMedDate not supplied

Clarification of the database concept.

Our concern is that nursing databases be structured to improve the efficiency of decision-making in nursing. The selection of database management systems that are compatible with the computer resources in a majority of settings is important to methodology. To facilitate methodological development, we encourage the inclusion of information in the nursing literature that details the investments in personnel, equipment, and facilities required to develop computerized databases. In the current state of affairs, determining the personnel and budgets for the development, update, and maintenance of computerized databases and related data management systems is somewhat like trying to pin the tail on the donkey while blindfolded. However some of the frustrations encountered at the start of new endeavors can be lessened if we share our experiences in project management as we report findings from our work.

Computers↗
PubMed2006

Development of computational models for the purpose of conducting individual livestock and premises traceback investigations utilizing National Animal Identification System-compliant data.

Many of the efforts surrounding the development of the National Animal Identification System have encompassed the identification of livestock production and handling premises as well as individuals or herds of animals, whereas little effort has been directed toward the ultimate goal of animal traceback within 48 h. A mock data set representative of the Colorado cattle population was created for modeling of cattle traceability. Using this data set, algorithms were developed to complete rapid and accurate traceback and traceforward of animals or premises or both. On July 19, 2005, the Colorado Department of Public Health and Environment, in conjunction with the Colorado Department of Agriculture, conducted a test exercise pertaining to homeland security. The exercise team randomly identified animal number 926,583 (of the 2 million total animals) as a potentially infected animal of interest and requested a traceback of this animal. Traceback was accomplished in 215 s, and 540 primary coresident animals were identified. However, due to animal movements, the number of coresidents (animals exposed, directly or indirectly, to the animal of interest) expanded with coresidency level (level 1 = direct contact; level 2 = direct contact with an animal that had direct contact with the animal of interest; level 3 = direct contact with an animal that had contact with an animal that had direct contact with the animal of interest, etc.) to more than 1.2 million coresidents at level 4, and more than 90% of all animals identified as a coresident at some level. In addition to the coresidency results, the premises containing the coresidents were identified and sorted by the number of coresidents. Because of animal movement, all 19,391 premises included in the data set had coresidents at some level. This exercise demonstrated the capability of the developed algorithms to complete rapid traceback and the complexity of the resulting animal traceback output.

Agriculture↗
PubMed1991

[The forensic medicine data bank--the Dresden model].

A data bank of forensic medicine is reported, which recreation is possible without any separate treatment. Informations available by computer-aided writing of autopsy-protocols are recorded automatically by a special programme. Coding is made by the SNOMED and METAS systems.

Autopsy↗
PubMed1988

Low back pain: development and five-year prospective application of a computerized quality-based diagnostic and treatment protocol.

A standardized protocol for low back pain was developed and computerized so that it could be used as a concurrent monitoring system for large patient populations. The software incorporated a relational database management system (RDBMS) and C language, a flexible, general-purpose programming language that is fast and portable. The protocol was then applied to a uniform group of industrial patients for 5 years. The results demonstrated that a quality-based protocol could be successfully computerized and applied to a large group of patients as a concurrent monitoring system. Quality care was insured by adherence to the computerized protocol. Associated economic results showed decreases in actual number of accidents each year (from 98/year prior to the study to 42/year in the last study year), in lost work days (from 3640/year before the study to 2118/year in the last year), and in costs (savings averaged $430,000/year). The goal of this study was to provide quality medicine; the economic benefits were a bonus. The monitoring system differed from those of the past in that it was driven by the basic medical information taken from the history, physical examination, and radiograph findings. The monitoring physicians were unbiased because they were not allowed to become involved in the patient's ongoing care. There was no rebound phenomenon (an initial drop in cases followed by a gradual return to the prestudy level); this was attributed to the constant monitoring of each case from beginning to end. These results led to the following conclusions: (a) Computerization of a standardized medical approach for low back pain is practical.(ABSTRACT TRUNCATED AT 250 WORDS)

Back Pain↗
PubMed1998

Data management and analysis for gene expression arrays.

Microarray technology makes it possible to simultaneously study the expression of thousands of genes during a single experiment. We have developed an information system, ArrayDB, to manage and analyse large-scale expression data. The underlying relational database was designed to allow flexibility in the nature and structure of data input and also in the generation of standard or customized reports through a web-browser interface. ArrayDB provides varied options for data retrieval and analysis tools that should facilitate the interpretation of complex hybridization results. A sampling of ArrayDB storage, retrieval and analysis capabilities is available (www.nhgri.nih.gov/DIR/LCG/15K/HTML/ ), along with information on a set of approximately 15,000 genes used to fabricate several widely used microarrays. Information stored in ArrayDB is used to provide integrated gene expression reports by linking array target sequences with NCBI's Entrez retrieval system, UniGene and KEGG pathway views. The integration of external information resources is essential in interpreting intrinsic patterns and relationships in large-scale gene expression data.

Computer Communication Networks↗
PubMed1991

Extensions to the time-oriented database model to support temporal reasoning in medical expert systems.

Physicians faced with diagnostic and therapeutic decisions must reason about clinical features that change over time. Database-management systems (DBMS) can increase access to patient data, but most systems are limited in their ability to store and retrieve complex temporal information. The Time-Oriented Databank (TOD) model, the most widely used data model for medical database systems, associates a single time stamp with each observation. The proper analysis of most clinical data requires accounting for multiple concurrent clinical events that may alter the interpretation of the raw data. Most medical DBMSs cannot retrieve patient data indexed by multiple clinical events. We describe two logical extensions to TOD-based databases that solve a set of temporal reasoning problems we encountered in constructing medical expert systems. A key feature of both extensions is that stored data are partitioned into groupings, such as sequential clinical visits, clinical exacerbations, or other abstract events that have clinical decision-making relevance. The temporal network (TNET) is an object-oriented database that extends the temporal reasoning capabilities of ONCOCIN, a medical expert system that provides chemotherapy advice. TNET uses persistent objects to associate observations with intervals of time during which "an event of clinical interest" occurred. A second object-oriented system called the extended temporal network (ETNET), is both an extension and a simplification of TNET. Like TNET, ETNET uses persistent objects to represent relevant intervals; unlike the first system, however, ETNET contains reasoning methods (rules) that can be executed when an event "begins", and that are withdrawn when that event "concludes". TNET and ETNET capture temporal relationships among recorded information that are not represented in TOD-based databases. Although they do not solve all temporal reasoning problems found in medical decision making, these new structures enable patient database systems to encode complex temporal relationships, to store and retrieve patient data based on multiple clinical contexts and, in ETNET, to modify the reasoning methods available to an expert system based on the onset or conclusion of specific clinical events.

Diagnosis, Computer-Assisted↗
PubMed1983

A medical record database in radiology.

A database system on the medical records of radiation therapy, computer tomographic and radioisotopic examinations of our department was created in Computing Center of Hokkaido University which has two remote terminals in the department. Old three filing systems which had been kept in three sections of our department independently since 1972 were integrated by the creation of the database. The main functions of our database management system are as follows; 1. data input through two minicomputers in the department; 2. data loading to the database from the minicomputers; 3. production of key word files and link files for generalised data handling. Seven files are defined in the database with total data of 30 Mega bytes at the end of 1981. Many programs for information retrieval and data processings were prepared and every member of the department can share both data and application programs registered. Outline and operation of the database system and some examples of data processings are reported.

Computers↗
PubMed2001

A new network-based biologic database system.

Bioinformatics is playing an increasingly important role in the processing and analysis of biomedical data. The collection, storage and analysis of biologic information are key components of bioinformatics. In the genome era, with the explosion of sequence and structural information available to researchers, the structure of biologic databases is becoming more complicated, the contents is becoming larger, and the management and development is also becoming more difficult. A network-based biologic database has been developed. This database system integrates administration, development and analysis of bioinformatics with common and friendly interface. For the life scientists without much computer programming expertise, the system is easy to master.

Computational Biology↗
PubMed2005

High performance workflow implementation for protein surface characterization using grid technology.

BACKGROUND: This study concerns the development of a high performance workflow that, using grid technology, correlates different kinds of Bioinformatics data, starting from the base pairs of the nucleotide sequence to the exposed residues of the protein surface. The implementation of this workflow is based on the Italian Grid.it project infrastructure, that is a network of several computational resources and storage facilities distributed at different grid sites. METHODS: Workflows are very common in Bioinformatics because they allow to process large quantities of data by delegating the management of resources to the information streaming. Grid technology optimizes the computational load during the different workflow steps, dividing the more expensive tasks into a set of small jobs. RESULTS: Grid technology allows efficient database management, a crucial problem for obtaining good results in Bioinformatics applications. The proposed workflow is implemented to integrate huge amounts of data and the results themselves must be stored into a relational database, which results as the added value to the global knowledge. CONCLUSION: A web interface has been developed to make this technology accessible to grid users. Once the workflow has started, by means of the simplified interface, it is possible to follow all the different steps throughout the data processing. Eventually, when the workflow has been terminated, the different features of the protein, like the amino acids exposed on the protein surface, can be compared with the data present in the output database.

Automation↗
PubMed1987

Integrated system brings hospital data together.

Healthcare industry changes during the 1980s--increased competition and alterations in the Medicare payment methodology--place new and more complex demands on a hospital's information systems, which often fall short of meeting those demands. These systems were designed for financial reporting, billing, or providing clinical data, and few of them are capable of linking with other unrelated systems. Today's hospital manager needs timely and simultaneous access to data from a variety of sources within the hospital. All the elements to accomplish this are collected somewhere in the hospital, but finding them and bringing them together is difficult. The key to the efficient management and use of data bases is in understanding the fundamental concept of relational data bases, which is the capability of linking or joining separate data files through a common data element in each file. In this way, data files may be integrated into a "related" data base. Any number of separate files, or tables, may exist within a "relational" data base as long as a series of threads links them. A strategic management information data base includes the information necessary to analyze, understand, and manage the hospital's markets, products, resources, and profitability. The major components of this information system are the case mix and cost accounting, budgeting, and modeling systems. The case mix and cost accounting factors involve managing concrete pieces of data, whereas the budgeting and modeling factors manipulate data to create a scenario. The strategic management information data base is the foundation of a hospital's decision support system, which is rapidly moving into the category of a necessary tool of the hospital manager's trade.

Computer Systems↗
PubMed2001

Cytochrome P450 database.

This paper describes a specialized database dedicated exclusively to the cytochrome P450 superfamily. The system provides the impression of superfamily's nomenclature and describes structure and function of different P450 enzymes. Information on P450-catalyzed reactions, substrate preferences, peculiarities of induction and inhibition is available through the database management system. Also the source genes and appropriate translated proteins can be retrieved together with corresponding literature references. Developed programming solution provides the flexible interface for browsing, searching, grouping and reporting the information. Local version of database manager and required data files are distributed on a compact disk. Besides, there is a network version of the software available on Internet. The network version implies the original mechanism, which is useful for the permanent online extension of the data scope.

Catalysis↗
PubMedDate not supplied

Implementation of a large-scale picture archiving and communication system.

This paper describes the implementation of a large-scale picture archiving and communication system (PACS) in a clinical environment. The system consists of a PACS infrastructure, composed of a PACS controller, a database management system, communication networks, and optical disk archive. It connects to three MR units, four CT scanners, three computed radiography systems, and two laser film digitizers. Seven display stations are on line 24 h/day, 7 days/wk in genitourinary radiology (2K), pediatric radiology in-patient (1K and 2K) and outpatient (2K), neuroradiology (2K), pediatric ICU (1K), coronary care unit (1K), and one laser film printing station. The PACS is integrated with the hospital information system and the radiology information system. The system has been in operation since February 1992. We have integrated this PACS as a clinical component in daily radiology practice. It archives an average of 2.0-gigabyte image data per workday. A 3-mo system performance of various components are tabulated. The deployment of this large-scale PACS signifies a milestone in our PACS research and development effort. Radiologists, fellows, residents, and clinicians use it for case review, conferences, and occasionally for primary diagnosis. With this large-scale PACS in place, it will allow us to investigate the two critical issues raised when PACS research first started 10 yrs ago: system performance and cost effectiveness between a digital-based and a film-based system.

Computer Communication Networks↗
PubMed1984

VAMPP: a veterinary automated management and production control programme for dairy farms (the application of MUMPS for data processing).

The application of MUMPS in a computerised recording system for herd health and production control on dairy farms is reviewed. MUMPS is an interactive multi-user database management system, which is both an operating system and a high level computer language. In this system, coding of veterinary and management events prior to data entry is not needed. Programmes and data structure can easily be adapted and extended due to the features of MUMPS. The system for dairy farms allows epidemiological analyses, due to the flexibility of the programme. The programme is used by farmers and veterinary surgeons by means of terminals linked to a central computer. The system provides action lists for farmers and veterinary surgeons; the information on these lists is presented in a multidisciplinary way. Several herd reports and analyses, including frequency distributions and graphs, are given. These reports enable the investigation of cross-relations between farm aspects, and aid in the detection of problem areas.

Animal Husbandry↗