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Results for “Management Information Systems”

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PubMed2006

MACSIMS: multiple alignment of complete sequences information management system.

BACKGROUND: In the post-genomic era, systems-level studies are being performed that seek to explain complex biological systems by integrating diverse resources from fields such as genomics, proteomics or transcriptomics. New information management systems are now needed for the collection, validation and analysis of the vast amount of heterogeneous data available. Multiple alignments of complete sequences provide an ideal environment for the integration of this information in the context of the protein family. RESULTS: MACSIMS is a multiple alignment-based information management program that combines the advantages of both knowledge-based and ab initio sequence analysis methods. Structural and functional information is retrieved automatically from the public databases. In the multiple alignment, homologous regions are identified and the retrieved data is evaluated and propagated from known to unknown sequences with these reliable regions. In a large-scale evaluation, the specificity of the propagated sequence features is estimated to be >99%, i.e. very few false positive predictions are made. MACSIMS is then used to characterise mutations in a test set of 100 proteins that are known to be involved in human genetic diseases. The number of sequence features associated with these proteins was increased by 60%, compared to the features available in the public databases. An XML format output file allows automatic parsing of the MACSIM results, while a graphical display using the JalView program allows manual analysis. CONCLUSION: MACSIMS is a new information management system that incorporates detailed analyses of protein families at the structural, functional and evolutionary levels. MACSIMS thus provides a unique environment that facilitates knowledge extraction and the presentation of the most pertinent information to the biologist. A web server and the source code are available at http://bips.u-strasbg.fr/MACSIMS/.

Algorithms↗
PubMed1983

Description of an experimental hospital pharmacy management information system.

The objectives, characteristics, and uses of hospital pharmacy work-measurement systems are discussed, and the development and operation of an experimental hospital pharmacy management information system (HPMIS) is described. Hospital pharmacy work-measurement systems are designed to measure and evaluate the productivity of a hospital pharmacy or group of pharmacies. Previous work-measurement systems used by hospital pharmacies have been too time consuming or imprecise for widespread use. A national hospital pharmacy work-measurement system known as HPMIS was developed to provide comprehensive and widely applicable information on pharmacy expenses, personnel use, and productivity. HPMIS converts data from participating hospitals into 17 indicators that enhance the comparability of the information between the hospitals. The 17 indicators relate to pharmacy production, clinical services, and administrative functions; also included are several gross department indicators that combine elements of all three areas. After analysis and categorization of the data according to characteristics such as bed size, geographical location, and type of drug-distribution system, results are reported to individual hospitals. A national work-measurement system such as HPMIS should enable hospitals to evaluate their pharmacy operations in relation to those of other hospitals and to track their department's relative management performance over time.

Efficiency↗
PubMed2002

A management information system to study space diets.

A management information system (MIS), including a database management system (DBMS) and a decision support system (DSS), was developed to dynamically analyze the variable nutritional content of foods grown and prepared in an Advanced Life Support System (ALSS) such as required for long-duration space missions. The DBMS was designed around the known nutritional content of a list of candidate crops and their prepared foods. The DSS was designed to determine the composition of the daily crew diet based on crop and nutritional information stored in the DBMS. Each of the selected food items was assumed to be harvested from a yet-to-be designed ALSS biomass production subsystem and further prepared in accompanying food preparation subsystems. The developed DBMS allows for the analysis of the nutrient composition of a sample 20-day diet for future Advanced Life Support missions and is able to determine the required quantities of food needed to satisfy the crew's daily consumption. In addition, based on published crop growth rates, the DBMS was able to calculate the required size of the biomass production area needed to satisfy the daily food requirements for the crew. Results from this study can be used to help design future ALSS for which the integration of various subsystems (e.g., biomass production, food preparation and consumption, and waste processing) is paramount for the success of the mission.

Biomass↗
PubMed1990

Nuclear medicine information management systems.

There are good arguments for considering a computer system to improve timeliness and quality of patient care, enhance the format of clinical reports, and strengthen management controls for the containment of health care costs. A nuclear medicine information management system serves to fill these needs. Receptionists access the system to schedule patient studies, log patient data, and generate examination records. Secretaries transcribe and print clinical reports. Film library staff locate patient films and keep track of borrowed studies. Technologists produce study work sheets, record quality assurance information, and process the examination results. Staff preparing radiopharmaceuticals use the system to receive and inventory tracer stocks, track preparation and dispensing activities, and to keep records for external review. Clinicians use it to look up old study results and record their study impressions. Managers access statistical reports, billing information, and resource utilization data. This review describes an information management system as implemented in a nuclear medicine clinic. Software applications for patient scheduling, radiopharmacy, film management, report generation, quality assurance, and inventory control are described as implemented on a variety of academic and commercial systems. Hardware architectures and the issues surrounding system specification and installation are explored.

Hospital Departments↗
PubMed2005

Anesthesia information management systems.

Documentation is the last component of anesthesia patient management to be affected by technology. Anesthesia information management systems (AIMS) have been introduced in a limited number of practice sites. The automated systems provide unbiased reporting of most patient information. This results in improved patient care and possible medical legal advantages. AIMS also allow anesthesia departments to monitor their business related activity.

Anesthesia Department, Hospital↗