Evaluation of DIBASE: an online system for storage, processing and retrieval of data from drug information requests.
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Drug Information Services↗
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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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Physician-centered computers for storage and retrieval of clinical data.
Computer systems which can replace the paper hospital patient chart have been discussed for many years. Several products now on the market automate data handling for hospital administrators and nursing staff. Today, the components for "physician-centered" systems are available to meet information handling needs during the patient encounter. Each physician would be equipped with his own highly portable computer customized to meet his requirements without keyboard input. The Linus "Write-Top" is one example of existing technology which comes close to meeting many of the specifications for such a system.
Computer Communication Networks↗
Data management of a case-control study with a large number of variables.
The description is presented of the system design and implementation experience obtained while providing the data management for a case-control study involving a large number of variables. Topics concerning questionnaire design, data collection, data coding, data entry, data edit, and data storage and retrieval are discussed. Designing and implementing the data-processing system for such a study provides diversified data management experience. This experience results in the investigation of existing and the development of new procedures and documents that can be applied to other studies in medical research. Emphasis is placed on the presentation of system details that can be tailored to specifications for a variety of studies.
Adult↗
Purchasing a PACS: from planning to procurement.
Picture archiving and communication systems (PACS) are highly versatile data storage and retrieval systems that facilitate the transfer of digital images and patient data throughout a healthcare enterprise. They process images from diagnostic modalities and are interfaced to radiology information systems and hospital information systems to improve workflow. Ensuring that you select a PACS that is optimal for your facility requires planning and judgment. It also requires that you define your needs based on optimal workflow, clearly convey those needs to prospective suppliers, and organize responses for easy comparison. In this article, we outline the steps needed to prepare for a PACS purchase: (1) defining the scope of your PACS, (2) analyzing your workflow requirements so that you can plan workstation deployment, (3) ensuring adequate integration, (4) planning for your image-storage needs, (5) ensuring security, and (6) putting together an effective request for proposal.
Humans↗
Picture archiving and communication systems.
Picture archiving and communication systems (PACS) are highly versatile data storage and retrieval systems that facilitate the transfer of digital images and patient data throughout a healthcare enterprise. Typically, they process images from diagnostic imaging modalities and are interfaced to radiology information systems (RISs) and hospital information systems (HISs) to improve overall workflow. For this Evaluation, we tested six PACS from six suppliers. Ideally, a PACS should allow the healthcare facility to achieve a fully automated workflow, in which patient image data is shared seamlessly from one system to another within a single electronic medical record (EMR). Although our testing found that this ideal has not yet been completely realized, many of the evaluated systems have taken significant steps in that direction. This Evaluation was limited to radiology PACS; however, more and more facilities are considering single PACS solutions to cover the needs of all their imaging departments.
Humans↗
Models of neural novelty detectors, with similarities to cerebral cortex.
A novelty detector is a functional unit, that indicates whether an incoming stimulus is familiar or novel. Novelty detection is prevalent in the central nervous system (CNS), and is involved in various activities. Its basic characteristics are discussed first. Then, models of neural novelty detectors are described, and tested and evaluated in simulations. The simulations have shown that one novelty detector, the bi-compartmental, simulates very closely the behavior of neural novelty detectors. This model is constructed in a way that resembles the observed architecture and function of area 17, and similar regions in the cortex. The first step in novelty detection is data retrieval. The proposed novelty detectors can utilize various compatible modes of data storage and retrieval, and one of those has been utilized in the simulations.
Cerebral Cortex↗
[Data processing the the RAST laboratory].
We describe a clinical laboratory information system for the RAST laboratory based on personal computers. In developing this system, we paid special attention to easy handling which does not require any computer experience on the user's side. Data storage and retrieval are managed by a relational database system with fast data access. Aside from the usual functions of a laboratory information system, the laboratory work is facilitated by a clear distribution of samples, the possible on-line connection to various analyzers, as well as the provision of cumulative results and a fast access to archive data.
Allergens↗
Picture archiving and communication systems.
Picture archiving and communication systems (PACS) are highly versatile data storage and retrieval systems that facilitate the transfer of digital images and patient data throughout a healthcare enterprise. Typically, they process images from diagnostic imaging modalities and are interfaced to radiology information systems (RISs) and hospital information systems (HISs) to help create a single patient record and improve overall workflow. For this Update Evaluation, we tested eight PACS from eight major suppliers. Ideally, a PACS should allow the facility to achieve a fully automated workflow, in which patient data could move seamlessly from one system to another in a single electronic medical record. Although our testing found that this ideal has not yet been realized, many of the evaluated systems have taken significant steps in that direction. Three of the systems covered in this issue were originally tested for our November 2000 Evaluation. Because PACS technology evolves so rapidly, we haven't simply provided updated data on these three systems, as we customarily would for an Update Evaluation. Instead, we have reexamined the systems from top to bottom and are presenting the results in brand-new Product Profiles, alongside the profiles for the five other systems evaluated here for the first time.
Computer Communication Networks↗
[The Homburg model for recording allergologic data using electronic data processing].
The present paper describes the microcomputer-based allergy data storage and retrieval system, realized with the relational database system INFORMIX on a Siemens MX2 computer. The main features of the kind and structure of data stored are discussed, as well as some general aspects of data storage. Additionally, the activities of the German Contact Dermatitis Group with regard to computer-based documentation are mentioned.
Computers↗
Sta-tens: improved yardsticks of computer data for interpretation, analysis, storage, and retrieval.
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Computers↗
Automated platelet aggregation analysis using a digitizer.
A method of rapidly entering, reducing, and interpreting data collected in platelet aggregation studies has been developed. The standard aggregometer output is a chart recording of light transmittance (or optical density) as a function of time following the addition of an aggregating agent to a cuvette containing platelet-rich plasma or washed, suspended platelets. Two problems associated with aggregation studies are the proper calibration of the aggregometer and recorder to insure that comparisons of data can be made from experiment to experiment and the need to find a convenient way to analyze and summarize the data generated. In this method, the chart recorder is calibrated using reference cuvettes containing water or a suspension of latex beads of a known optical density. Since the analysis and interpretation of aggregation curves can be a time-consuming task, a standard digitizer has been interfaced to a computer, allowing the X,Y coordinates of the data, and, thus, the time-aggregation history of the sample, to be entered into the computer. The cursor of the digitizer is traced over the aggregation curve and the X,Y coordinates are transferred either at operator-selectable points or at fixed time intervals. A computer program (AGGPAD) calculates and stores several variables (e.g., sample baseline density, the magnitude of the aggregation, time to peak aggregation, maximum aggregation rate, and maximum deaggregation rate) that can be easily retrieved. The system reduces analysis time by a factor of five and allows for automated data storage and retrieval. The method is applicable to any computer and hardware costs are below $1000.00.
Calibration↗
A computer program for on-line measurement, storage, analysis and retrieval of urodynamic data.
A computer program is presented which allows for direct connection of a minicomputer to a urodynamic set-up. The program stores measured pressure and flow data in a random access disc file with minimal intervention of the urodynamicist, and enables the direct application of a number of methods of analysis to the data. The program is modular, and other analysis methods are easily added. Results of analyses are stored in the same disc file, and both results and measured data can be quickly and easily retrieved. The program is written in FORTRAN; hardware-dependent functions (analog input, graphics display, and random access disc storage) are implemented in subroutines (partly assembler) which can easily be replaced.
Computers↗
Electronic data processing in the storage and retrieval of dental patient file information.
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Dental Clinics↗
Automatic diagnosis classification of patient discharge letters.
CAIRN (Computer Assisted Medical Information Resource Navigation) is a prototyping System that allows flexible medical data storage and retrieval supporting medical informatics research. In this paper methods that automate the selection of ICD-9 diagnosis (International Classification of Diseases and Diagnoses, 9th Revision) are investigated. We present the Text Data Mining module extension of CAIRN and its application in order to organize in a systematic way uncontrolled terms, to propose relationships between uncontrolled terms and finally aid the diagnosis classification.
Disease↗
QualitySNP: a pipeline for detecting single nucleotide polymorphisms and insertions/deletions in EST data from diploid and polyploid species.
BACKGROUND: Single nucleotide polymorphisms (SNPs) are important tools in studying complex genetic traits and genome evolution. Computational strategies for SNP discovery make use of the large number of sequences present in public databases (in most cases as expressed sequence tags (ESTs)) and are considered to be faster and more cost-effective than experimental procedures. A major challenge in computational SNP discovery is distinguishing allelic variation from sequence variation between paralogous sequences, in addition to recognizing sequencing errors. For the majority of the public EST sequences, trace or quality files are lacking which makes detection of reliable SNPs even more difficult because it has to rely on sequence comparisons only. RESULTS: We have developed a new algorithm to detect reliable SNPs and insertions/deletions (indels) in EST data, both with and without quality files. Implemented in a pipeline called QualitySNP, it uses three filters for the identification of reliable SNPs. Filter 1 screens for all potential SNPs and identifies variation between or within genotypes. Filter 2 is the core filter that uses a haplotype-based strategy to detect reliable SNPs. Clusters with potential paralogs as well as false SNPs caused by sequencing errors are identified. Filter 3 screens SNPs by calculating a confidence score, based upon sequence redundancy and quality. Non-synonymous SNPs are subsequently identified by detecting open reading frames of consensus sequences (contigs) with SNPs. The pipeline includes a data storage and retrieval system for haplotypes, SNPs and alignments. QualitySNP's versatility is demonstrated by the identification of SNPs in EST datasets from potato, chicken and humans. CONCLUSION: QualitySNP is an efficient tool for SNP detection, storage and retrieval in diploid as well as polyploid species. It is available for running on Linux or UNIX systems. The program, test data, and user manual are available at http://www.bioinformatics.nl/tools/snpweb/ and as Additional files.
Base Sequence↗
Computer data processing of medical diagnoses in pathology.
Modes of insertion of pathology diagnoses into a computer data storage and retrieval system are reviewed. The conversion of free-flowing diagnostic sentences into internal code is considered, and the advantages of coding are discussed from two aspects: (a) to minimize storage, and (b) to help alleviate difficulties in retrieval of synonymous terminology. Methods of manually pre-coding diagnoses into Systemized Nomenclature of Pathology (SNOP) code are discussed. Data encoding produces a fixed format record which provides significant economy in data handling. The potential use of a real-time visual display unit in data gathering and automatic coding is presented.
Diagnosis, Computer-Assisted↗
Logistics of conducting a chronic study with 24,192 mice.
Some of the logistical problems of conducting the ED01 study at the National Center for Toxicological Research are discussed, including problems in site preparation, animal production, support during the execution of the study, pathology support, and data analysis. In order to manage the vast amount of data that would be generated by a 24,192 mouse study, computer-assisted data collection systems and automated data storage and retrieval systems were developed. These systems, along with other procedures at NCTR, made the execution of a study of this magnitude possible and allowed timely experiment management. Preliminary data analysis during the course of the study resulted in a decision to extend the duration of one segment of the study.
Animal Husbandry↗
A computer system for the storage and retrieval of clinical pharmacokinetic data.
A computer system is described which stores patients data relating to clinical pharmacokinetic assessments made by clinical pharmacists, who are participating in a clinical pharmacokinetics service. The system was developed to assist in the documentation of service activities and storage of patients' pharmacokinetic data. An additional component of the system is the ability for retrospective review of the stored data. Application of this system to the derivation of new information on drug pharmacokinetics and drug efficacy/toxicity in various patient groups is discussed. The implications for phase IV drug studies and toxicity screening studies is also described.
Computers↗