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PubMed2003

Metric-space indexes as a basis for scalable biological databases.

Biochemical databases will be best served by the development of new specialized database management systems whose storage managers are based on metric-space indexing techniques and the development a database query languages that embody semantics derived from biochemical models of similarity and evolution. Important biochemical data types cannot be effectively mapped to low dimensional coordinate systems on which O(log n) indexing methods rely. It is clear from an abundance of bioinformatic discoveries that biochemical data is not random and exhibits interesting structure with respect to clustering. Metric-space indexing exploits a data set's intrinsic clustering to speed the execution of similarity queries, even when the data cannot be mapped to a coordinate system. Database management systems that seamlessly integrate semantically rich query languages with a metric-storage and retrieval mechanism will allow biologists to simply and concisely develop informatic studies that have traditionally been large and labor intensive.

Computational Biology↗
PubMedDate not supplied

Development of the receptor database (RDB): application to the endocrine disruptor problem.

MOTIVATION: To represent various aspects of receptors effectively, we developed the receptor database (RDB), using an object-oriented database management system ACEDB and the Internet/WWW technology. RESULTS: RDB was constructed so that the system collects data items such as attributes of proteins from distributed data sources of the Internet, and so that it provides various viewing tools effectively, depending on different types of receptor data. Such sources include standard international biological databases such as the up-to-date database of PIR, Swiss Prot, PDB, GenBank and GDB. Application to the endocrine disruptor problem is presented. AVAILABILITY: RDB is available through the Internet at http://impact.nihs.go.jp/RDB.html.

Amino Acid Sequence↗
PubMed1990

Using a donor insemination management system.

A computerized database management system has been developed for an expanding donor insemination service. The programs have been written in dBASEIV language and they will run on a single personal computer (IBM or compatible, with a hard disc) or on a network. The central database enables access to stock, donor and couple details and routine statistics e.g. pregnancy rates, although levels of access to the system are restricted by password control. The central database provides an archival component, with data recorded on a daily basis, a service management component assisting in the routine administration of a donor insemination service, a financial component and a statistical component providing for both local and national statistics. Data may be converted for use in other software packages, e.g. SPSSX, SAS (statistical packages), encouraging data manipulation and enabling specific research questions to be addressed more readily.

Database Management Systems↗
PubMed1988

ADAMO revisited: an interpretative review of a data management system.

In this paper the use for research purposes of an existing data management system, ADAMO (A Database Management system for Oncology), is described. The aim of this paper is to discuss the experiences, obtained with this 'home-made' system and to describe some of the extensions that were recently made. Reasons are presented why the system is still extensively used by clinicians although a number of commercial database management systems is now available on personal computers. These database systems are more flexible than the system described here. It is concluded that it is precisely this flexibility of current systems that prevents an optimal use by busy clinicians. Clinicians need a research system that contains just the functions that they need. These functions have to be available via simple commands, so that no additional programming--even at the high level of a query language--is necessary.

Computer-Assisted Instruction↗
PubMedDate not supplied

Design and implementation of a portal for the medical equipment market: MEDICOM.

BACKGROUND: The MEDICOM (Medical Products Electronic Commerce) Portal provides the electronic means for medical-equipment manufacturers to communicate online with their customers while supporting the Purchasing Process and Post Market Surveillance. The Portal offers a powerful Internet-based search tool for finding medical products and manufacturers. Its main advantage is the fast, reliable and up-to-date retrieval of information while eliminating all unrelated content that a general-purpose search engine would retrieve. The Universal Medical Device Nomenclature System (UMDNS) registers all products. The Portal accepts end-user requests and generates a list of results containing text descriptions of devices, UMDNS attribute values, and links to manufacturer Web pages and online catalogues for access to more-detailed information. Device short descriptions are provided by the corresponding manufacturer. The Portal offers technical support for integration of the manufacturers Web sites with itself. The network of the Portal and the connected manufacturers sites is called the MEDICOM system. OBJECTIVES: To establish an environment hosting all the interactions of consumers (health care organizations and professionals) and providers (manufacturers, distributors, and resellers of medical devices). METHODS: The Portal provides the end-user interface, implements system management, and supports database compatibility. The Portal hosts information about the whole MEDICOM system (Common Database) and summarized descriptions of medical devices (Short Description Database); the manufacturers servers present extended descriptions. The Portal provides end-user profiling and registration, an efficient product-searching mechanism, bulletin boards, links to on-line libraries and standards, on-line information for the MEDICOM system, and special messages or advertisements from manufacturers. Platform independence and interoperability characterize the system design. Relational Database Management Systems are used for the system s databases. The end-user interface is implemented using HTML, Javascript, Java applets, and XML documents. Communication between the Portal and the manufacturers servers is implemented using a CORBA interface. Remote administration of the Portal is enabled by dynamically-generated HTML interfaces based on XML documents. A representative group of users evaluated the system. The aim of the evaluation was validation of the usability of all of MEDICOM s functionality. The evaluation procedure was based on ISO/IEC 9126 Information technology - Software product evaluation - Quality characteristics and guidelines for their use. RESULTS: The overall user evaluation of the MEDICOM system was very positive. The MEDICOM system was characterized as an innovative concept that brings significant added value to medical-equipment commerce. CONCLUSIONS: The eventual benefits of the MEDICOM system are (a) establishment of a worldwide-accessible marketplace between manufacturers and health care professionals that provides up-to-date and high-quality product information in an easy and friendly way and (b) enhancement of the efficiency of marketing procedures and after-sales support.

Advertising↗
PubMed1997

A Critical Look at Currently Available Radiation Oncology Information Management Systems.

Many complicated technical factors are involved in selecting a radiation oncology information management system. This report presents a discussion of some important information systems components and concepts which should be considered when evaluating vendor options. Network operating systems, database management systems, network infrastructure, and client issues are all presented. The current marketplace of products is analyzed from both a features and a systems standpoint. Because selection of an appropriate system is a highly site-specific matter taking into account may important factors, general recommendations are difficult. Nonetheless, current market leadership by certain vendors and a broad sense of the future direction are indicated in the conclusions.

Journal Article↗
PubMedDate not supplied

KBSIM: a system for interactive knowledge-based simulation.

The KBSIM system integrates quantitative simulation with symbolic reasoning techniques, under the control of a user interface management system, using a relational database management system for data storage and interprocess communication. The system stores and processes knowledge from three distinct knowledge domains, viz. (i) knowledge about the processes of the system under investigation, expressed in terms of a Continuous System Simulation Language (CSSL); (ii) heuristic knowledge on how to reach the goals of the simulation experiment, expressed in terms of a Rule Description Language (RDL); and (iii) knowledge about the requirements of the intended users, expressed in terms of a User Interface Description Language (UIDL). The user works in an interactive environment controlling the simulation course with use of a mouse and a large screen containing a set of 'live' charts and forms. The user is assisted by an embedded 'expert system' module continuously watching both the system's behavior and the user's action, and producing alerts, alarms, comments and advice. The system was developed on a Hewlett-Packard 9000/350 workstation under the HP-Unix and HP-Windows operating systems, using the MIMER database management system, and Fortran, Prolog/Lisp and C as implementation languages. The KBSIM system has great potentials for supporting problem solving, design of working procedures and teaching related to management of highly dynamic systems.

Artificial Intelligence↗
PubMed1995

A strategy for database interoperation.

To realize the full potential of biological databases (DBs) requires more than the interactive, hypertext flavor of database interoperation that is now so popular in the bioinformatics community. Interoperation based on declarative queries to multiple network-accessible databases will support analyses and investigations that are orders of magnitude faster and more powerful than what can be accomplished through interactive navigation. I present a vision of the capabilities that a query-based interoperation infrastructure should provide, and identify assumptions underlying, and requirements of, this vision. I then propose an architecture for query-based interoperation that includes a number of novel components of an information infrastructure for molecular biology. These components include a knowledge base that describes relationships among the conceptualizations used in different biological databases, a module that can determine the DBs that are relevant to a particular query, a module that can translate a query and its results from one conceptualization to another, a collection of DB drivers that provide uniform physical access to different database management systems, a suite of translators that can interconvert among different database schema languages, and a database that describes the network location and access methods for biological databases. A number of the components are translators that bridge the heterogeneities that exist between biological DBs at several different levels, including the conceptual level, the data model, the query language, and data formats.

Artificial Intelligence↗
PubMed1996

Development of an animal genome database and its search system.

An animal genome database has been developed on a Unix workstation and maintained by a relational database management system. This database has focused on the comparative gene mapping between species to assist the mapping of the genes related to phenotypic traits in livestock. The linkage maps, cytogenetic maps, polymerase chain reaction primers of pig, cattle, mouse and human, and their references have been included in the database, and the correspondence among species have been stipulated in the database. In order to search the database effectively, the World Wide Web server (http://ws4.niai.affrc.go.jp/) and the electronic mail server system (e-mail: jgbase-mail@ niai.affrc.go.jp) have been developed on different Unix workstations. These servers are connected to the Internet.

Animals↗
PubMedDate not supplied

ESMIS--a computer-based emergency medical services management information system. Part 2. Database design.

In this paper, the emergency medical services system of a health care organization are investigated. The result of this investigation is an on-line Emergency Medical Services Management Information System (ESMIS). ESMIS is implemented using the TOTAL database management system. Reports illustrating the system's performance are also provided. Part 1 (this issue) outlined the ESMIS design procedure, while part 2 is concerned with the specifications of the system's outputs.

Computers↗
PubMed1997

Development of an enterprise-wide clinical data repository: merging multiple legacy databases.

We describe the development of a clinical data repository whose core consists of four years of inpatient administrative and billing data from the mainframe legacy systems of the University of Virginia Health System (UVAHS). To these data we have linked a cardiac surgery clinical database and our physician billing data (inpatient and outpatient). Other databases will be merged in the future. A relational database management system (Sybase) running on a dedicated IBM RS/6000 minicomputer was employed to assemble 2.5 Gigabytes of core data describing approximately 100,000 hospital admissions over the four year period. To enable convenient data queries, the system has been equipped with a custom-built WWW user interface, which generates Structured Query Language (SQL) automatically. We illustrate the rapid reporting capabilities of the resulting system with reference to patients undergoing coronary artery bypass graft surgery (CABG). We conclude that this information system: a) constitutes a convenient and low-cost method to increase data availability across the UVAHS; b) provides clinicians with a tool for surveillance of patient care and outcomes; c) forms the core of a comprehensive database from which clinical research may proceed; d) provides a flexible interface empowering a wide variety of clinical departments to share and enrich their own clinical data.

Computer Communication Networks↗
PubMed1999

HICLAS: a taxonomic database system for displaying and comparing biological classification and phylogenetic trees.

MOTIVATION: Numerous database management systems have been developed for processing various taxonomic data bases on biological classification or phylogenetic information. In this paper, we present an integrated system to deal with interacting classifications and phylogenies concerning particular taxonomic groups. RESULTS: An information-theoretic view (taxon view) has been applied to capture taxonomic concepts as taxonomic data entities. A data model which is suitable for supporting semantically interacting dynamic views of hierarchic classifications and a query method for interacting classifications have been developed. The concept of taxonomic view and the data model can also be expanded to carry phylogenetic information in phylogenetic trees. We have designed a prototype taxonomic database system called HICLAS (HIerarchical CLAssification System) based on the concept of taxon view, and the data models and query methods have been designed and implemented. This system can be effectively used in the taxonomic revisionary process, especially when databases are being constructed by specialists in particular groups, and the system can be used to compare classifications and phylogenetic trees. AVAILABILITY: Freely available at the WWW URL: http://aims.cps.msu.edu/hiclas/ CONTACT: pramanik@cps.msu.edu; lotus@wipm.whcnc.ac.cn

Classification↗