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Representing and querying conceptual graphs with relational database management systems is possible.

This is an experimental study on the feasibility of maintaining medical concept dictionaries in production grade relational database management systems (RDBMS.) In the past, RDBMS did not support transitive relational structures and had therefore been unsuitable for managing knowledge bases. The revised SQL-99 standard, however, may change this. In this paper we show that modern RDBMS that support recursive queries are capable of querying transitive relationships in a generic data model. We show a simple but efficient indexed representation of transitive closure. We could confirm that even challenging combined transitive relationships can be queried in SQL.

Artificial Intelligence↗

HGDBMS: a human genetics database management system.

Human genetics research involves a large number of complex data sets naturally organized in hierarchical structures. Data collection is performed on different levels, e.g., the project level, pedigree level, individual level, and sample level. Different aspects of a study utilize different views of the data, requiring a flexible database management system (DBMS) which satisfies these different needs for data collection and retrieval. We describe HGDBMS, a comprehensive relational DBMS, implemented as an application of the GENISYS I DBMS, which allows embedding the hierarchical structure of pedigrees in a relational structure. The system's file structure is described in detail. Currently our Melanoma and Chromosome 17 map studies are managed with HGDBMS. Our initial experience demonstrates the value of a flexible system which supports the needs for data entry, update, storage, reporting, and analysis required during different phases of genetic research. Further developments will focus on the integration of HGDBMS with a human genetics expert system shell and analysis programs.

Computer Systems↗

Development of a Database Management System for an obstetrics unit.

This article discusses the use of computer technology in expediting and simplifying the retrieval of data generated from clinical practice. The article describes the collaboration between academic faculty and nurse clinicians in developing a computerized database to report birth statistics incurred by a busy obstetrical unit. A secondary purpose of the article is to assist the reader in understanding the importance of planning the content to be entered into the database and to become familiar with the basics of developing a database that could be used to sort and retrieve data. Facilitators and barriers to the development of a database management system in clinical practice are also discussed.

Database Management Systems↗

A self-programmable in vitro fertilization/gamete intrafallopian transfer patient database management system for MacIntosh computers.

PURPOSE: Our purpose was to develop a data processing system for a large in Vitro Fertilization/Gamete Intrafallopian Transfer (IVF/GIFT) practice which would (1) require minimal data entry time, (2) be easy to operate, (3) be simple to construct (no knowledge of procedural language or programming necessary), and (4) quickly collate and reduce data. RESULTS: A database management system was successfully constructed on an Apple MacIntosh computer which met the above criteria. The key elements of this database were its user-friendly features (MacIntosh-based system), adaptability (user was constantly able to update and revise the program as informational needs changed), and ability to perform complex searches and data analyses imposed by the individual operators. CONCLUSIONS: The software and hardware described in this report were found to be highly effective in meeting the ever-changing administrative and clinical needs of our IVF/GIFT program.

Database Management Systems↗

Database management systems for process safety.

Several elements of the process safety management regulation (PSM) require tracking and documentation of actions; process hazard analyses, management of change, process safety information, operating procedures, training, contractor safety programs, pre-startup safety reviews, incident investigations, emergency planning, and compliance audits. These elements can result in hundreds of actions annually that require actions. This tracking and documentation commonly is a failing identified in compliance audits, and is difficult to manage through action lists, spreadsheets, or other tools that are comfortably manipulated by plant personnel. This paper discusses the recent implementation of a database management system at a chemical plant and chronicles the improvements accomplished through the introduction of a customized system. The system as implemented modeled the normal plant workflows, and provided simple, recognizable user interfaces for ease of use.

Database Management Systems↗

Database management systems for blood bank applications.

Blood banks have a need for efficient, long-term storage of records and quick access to the stored information. Database management systems make it easy to retrieve and review large amounts of data. They provide such functions as data entry, sorting capability, search and find capacity, report production, calculation and graphic capacities, programming, and the relating of fields in one file to those in another file. Privately developed programs can be shared by blood banks. A program for managing an inventory of frozen blood units is offered in this paper.

Journal Article↗

A clinical database management system.

The processing of Case Report Form data collected in clinical trials is a data processing task unlike any other. Conventional systems approaches to clinical data management are not responsive to user demands and require excessive amounts of manpower to support. The Clinical Data Management System implemented at Merck utilizes Infodata 's Inquire database management software, IBM's CICS communications software, IBM's VSAM file management software, and SAS Institute's SAS software. System flexibility was the paramount consideration when the CDMS was designed. Clinical data at Merck is now processed on a system that provides on-line ad hoc retrieval capabilities through a user friendly query language, and allows for drug specific database designs coupled with a common update and retrieval mechanism.

Clinical Trials as Topic↗

Dynamic tables: an architecture for managing evolving, heterogeneous biomedical data in relational database management systems.

Data sparsity and schema evolution issues affecting clinical informatics and bioinformatics communities have led to the adoption of vertical or object-attribute-value-based database schemas to overcome limitations posed when using conventional relational database technology. This paper explores these issues and discusses why biomedical data are difficult to model using conventional relational techniques. The authors propose a solution to these obstacles based on a relational database engine using a sparse, column-store architecture. The authors provide benchmarks comparing the performance of queries and schema-modification operations using three different strategies: (1) the standard conventional relational design; (2) past approaches used by biomedical informatics researchers; and (3) their sparse, column-store architecture. The performance results show that their architecture is a promising technique for storing and processing many types of data that are not handled well by the other two semantic data models.

Computational Biology↗

A clinical and research database management system for a geriatric nursing outreach program to rural elderly: purpose and general structure.

The need to systematically and comprehensively manage data to support nursing services asserts itself in all areas and contexts where nursing services are delivered to patients and families. While most applications have targeted inpatient nursing services, several systems to sustain ambulatory nursing care have been proposed as well. In this paper, we outline the purpose and general structure of a custom-designed computerized database management system to support the clinical, administrative, and research operations of a geriatric nursing outreach program in rural Virginia.

Aged↗