Automated storage and retrieval of patient data.
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A computer-based system has been developed for the handling and retrieval of data on long-term human lymphoblastoid cell lines. It permits accurate recording of a wide range of genetic markers and other defined characteristics for the donor of each culture and for individual aliquots of any cell line. The data is recorded in relation to the in vitro age of each aliquot studied and the programme is designed to permit both the sequential examination of a single cell line and the comparison of lines of different origins. It is hoped that, by the application of this type of system, the confusion which has arisen in relation to other long-term cell lines (and which threatens to develop in relation to human lymphoblastoid cell lines) may be avoided and that the exchange of information between laboratories may be facilitated.
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.
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.
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.
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.
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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.
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.
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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.
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.
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.
A computer data system by which data from radiation therapy records are stored, corrected, and up-dated continuously as information becomes available is described. Two main programs are involved. A data storage and retrieval system called TAXIR uses a high-level language similar to English and allows display of information in alphabetic or numerical fashion. The other program, MIDAS, is a statistical package designed to perform multiple statistical analyses on the data accumulated on the former program. Both of these programs utilize a logical syntax permitting easy identification and partition of a data set. In addition, several smaller program have been developed to advance survival information in a rapid and reliable way and to obtain information directly from computerized data available at the University of Michigan Cancer Follow-Up Unit. Programs to obtain life tables or graphs on survival or reactivation of neoplasms have been developed. Stress is placed on the development of a strategy to obtain the maximum accurate information with a minimum input. The development of suitable coding sheets including appropriate diagnoses and tumor classifications is discussed. The importance of keeping a continuous up-to-date flow of information is stressed.
A computerized clinical microbiology data storage and retrieval system, which was introduced at the Institute of Medical Microbiology 14 month ago, is described. This institute has to perform routine diagnostic microbiology for hospitals in the Kanton of Zuerich including the university hospital. In addition, it serves as a public health laboratory for Zuerich and adjacent districts. Patient and physician data are entered into a data station IBM 3741 and stored on discettes. Each afternoon, these data are printed on special report forms, which then are transferred to the diagnostic laboratories. After completion of the investigation, a copy of this form containing the results is sent to the physician. Every two weeks, the information stored on the discettes are converted onto the magnetic tape "discette". In addition, the original report form, containing the codified results and the fees, are read by an optic reader, which transfers the information onto the tape "report". Both tapes then serve the computer to print the accounts as well as to summarize the results monthly in form of the medical statistics. These provide valuable information to enhance patient care. All data are stored in a cumalative microbiology data bank for later retrieval.
A suite of computer programs are described to facilitate the transfer, disc storage, graphical trending and statistical analysis of data from an Ohmeda 3700e pulse oximeter. The programs are written in GWBASIC and designed to operate on a low cost IBM PC or compatible personal computer. The programs have been proved to be clinically useful in determining response to therapy as discerned from the long-term monitoring of arterial oxygen saturation. The computerised system is superior to analogue display system, such as a chart recorder, since it provides a logical method of presentation and analysis of data from long term monitoring.
Collection, storage and retrieval of large amounts of data from multiple experiments for subsequent reduction, graphing and statistical analysis need not be a burdensome task. Although turnkey systems may offer significant economies for single well-defined and repetitive tasks, they may not permit sufficient flexibility to achieve the diverse aims required by many research programs. Using popular microcomputers to run one or a few experimental subjects may confront the investigator not only with significant bookkeeping problems, but also with an allocation of labor resources to computer maintenance and support that might be better invested in research effort. By using networked minicomputers, economies of scale emerge both in data collection, transfer, reduction, and analysis, as well as in maintenance, support, and scientific effort.