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result(s) for
"Database Management Systems - economics"
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Does introduction of a Patient Data Management System (PDMS) improve the financial situation of an intensive care unit?
by
Castellanos, Ixchel
,
Bürkle, Thomas
,
Prokosch, Hans-Ulrich
in
Costs and Cost Analysis - economics
,
Costs and Cost Analysis - standards
,
Database Management Systems - economics
2013
Background
Patient Data Management Systems (PDMS) support clinical documentation at the bedside and have demonstrated effects on completeness of patient charting and the time spent on documentation. These systems are costly and raise the question if such a major investment pays off. We tried to answer the following questions: How do costs and revenues of an intensive care unit develop before and after introduction of a PDMS? Can higher revenues be obtained with improved PDMS documentation? Can we present cost savings attributable to the PDMS?
Methods
Retrospective analysis of cost and reimbursement data of a 25 bed Intensive Care Unit at a German University Hospital, three years before (2004–2006) and three years after (2007–2009) PDMS implementation.
Results
Costs and revenues increased continuously over the years. The profit of the investigated ICU was fluctuating over the years and seemingly depending on other factors as well. We found a small increase in profit in the year after the introduction of the PDMS, but not in the following years. Profit per case peaked at 1039 € in 2007, but dropped subsequently to 639 € per case. We found no clear evidence for cost savings after the PDMS introduction. Our cautious calculation did not consider additional labour costs for IT staff needed for system maintenance.
Conclusions
The introduction of a PDMS has probably minimal or no effect on reimbursement. In our case the observed increase in profit was too small to amortize the total investment for PDMS implementation.
This may add some counterweight to the literature, where expectations for tools such as the PDMS can be quite unreasonable.
Journal Article
Sustainable digital infrastructure
by
Bastow, Ruth
,
Leonelli, Sabina
in
Biological Science Disciplines
,
Database Management Systems - economics
,
Database Management Systems - trends
2010
Databases and online resources are an integral tool for research but their funding remains a major problem. The authors propose and discuss various models for the support and maintenance of digital infrastructures.
Journal Article
Perspective: Sustaining the big-data ecosystem
by
Bourne, Philip E.
,
Lorsch, Jon R.
,
Green, Eric D.
in
631/114
,
631/208/212
,
Biomedical Research - economics
2015
Organizing and accessing biomedical big data will require quite different business models, say Philip E. Bourne, Jon R. Lorsch and Eric D. Green.
Journal Article
Deluge of astronomical data will soon hit South Africa
2018
The expansion of a telescope network creates a thirst for more data-handling expertise and infrastructure.
The expansion of a telescope network creates a thirst for more data-handling expertise and infrastructure.
Journal Article
Risk management in waste water treatment
by
Wagner, M.
,
Strube, I.
in
Alarm systems
,
Database Management Systems - economics
,
Database Management Systems - legislation & jurisprudence
2005
With the continuous restructuring of the water market due to liberalisation, privatisation and internationalisation processes, the requirements on waste water disposal companies have grown. Increasing competition requires a target-oriented and clearly structured procedure. At the same time it is necessary to meet the environment-relevant legal requirements and to design the processes to be environment-oriented. The implementation of risk management and the integration of such a management instrument in an existing system in addition to the use of modern technologies and procedures can help to make the operation of the waste water treatment safer and consequently strengthen market position. The risk management process consists of three phases, risk identification, risk analysis/risk assessment and risk handling, which are based on each other, as well as of the risk managing. To achieve an identification of the risks as complete as possible, a subdivision of the kind of risks (e.g. legal, financial, market, operational) is suggested. One possibility to assess risks is the portfolio method which offers clear representation. It allows a division of the risks into classes showing which areas need handling. The determination of the appropriate measures to handle a risk (e.g. avoidance, reduction, shift) is included in the concluding third phase. Different strategies can be applied here. On the one hand, the cause-oriented strategy, aiming at preventive measures which aim to reduce the probability of occurrence of a risk (e.g. creation of redundancy, systems with low susceptibility to malfunction). On the other hand, the effect-oriented strategy, aiming to minimise the level of damage in case of an undesired occurrence (e.g. use of alarm systems, insurance cover).
Journal Article
Construction of a Linux based chemical and biological information system
2003
A chemical and biological information system with a Web-based easy-to-use interface and corresponding databases has been developed. The constructed system incorporates all chemical, numerical and textual data related to the chemical compounds, including numerical biological screen results. Users can search the database by traditional textual/numerical and/or substructure or similarity queries through the web interface. To build our chemical database management system, we utilized existing IT components such as ORACLE or Tripos SYBYL for database management and Zope application server for the web interface. We chose Linux as the main platform, however, almost every component can be used under various operating systems.
Journal Article
The demise of public data on the web?
by
Ellis, Lynda B.M.
,
Kalumbi, Doyle
in
Agriculture
,
Bioinformatics
,
Biomedical and Life Sciences
1998
Data rich but cash poor, many free biological databases are on the verge of financial collapse.
Journal Article
Immunization Registries: Costs and Savings
by
Verna B. Mc Kenna
,
M. Anita Barry
,
Sager, Alan
in
Biological and medical sciences
,
Boston - epidemiology
,
Boston, Massachusetts
2002
Objectives: The objectives of this study were to quantify the actual costs of developing, maintaining, and operating the Boston Immunization Information System (BIIS), an electronic registry and tracking system, and to compare the registry's costs with those of performing the same functions manually. Methods: Cost data were obtained from 23 BIIS health care sites, the city health department, and 13 control sites. Actual costs of developing and operating BIIS in 1998 and projected 1999 costs for a hypothetical expanded registry were measured. Total costs of registry-supported immunization activities were compared with the costs of similar types and volumes of manual activities. Results: The total annual cost of developing, maintaining, and operating BIIS in 1998 was $345,556. Annual total cost per record was $5.45 for all children aged <23 years and $10 when costs were distributed only among active users (children <8 years old). Operating BIIS saved $26,768 in 1998, compared with manual performance. The hypothetical projected total cost of an expanded BIIS in 1999 would have been $577,919, with a projected savings of $689,403 compared with manual costs. Conclusions: Electronic immunization registries potentially offer an efficient tool for the delivery of immunization services. Registries can save substantial funds if their data are kept up-to-date, and if caregivers are willing and able to use the registries routinely.
Journal Article
Data Clustering
2014,2013,2018
Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays special attention to recent issues in graphs, social networks, and other domains.The book focuses on three primary aspects of data clustering: Methods, describing key techniques commonly used for clustering, such as feature selection, agglomerative clustering, partitional clustering, density-based clustering, probabilistic clustering, grid-based clustering, spectral clustering, and nonnegative matrix factorization Domains, covering methods used for different domains of data, such as categorical data, text data, multimedia data, graph data, biological data, stream data, uncertain data, time series clustering, high-dimensional clustering, and big data Variations and Insights, discussing important variations of the clustering process, such as semisupervised clustering, interactive clustering, multiview clustering, cluster ensembles, and cluster validation In this book, top researchers from around the world explore the characteristics of clustering problems in a variety of application areas. They also explain how to glean detailed insight from the clustering process-including how to verify the quality of the underlying clusters-through supervision, human intervention, or the automated generation of alternative clusters.
Commercializing Blockchain
by
Welfare, Antony
in
Blockchains (Databases)
,
Blockchains (Databases) -- Economic aspects
,
Blockchains (Databases) -- Industrial applications
2019
The accessible, non-technical guide to applying and benefiting from blockchain technology. Blockchain has grown at an enormous rate in a very short period of time. In a business context, blockchain can level the playing field between small and large organisations in several ways: Exact copies of the immutable, time-stamped data is held by all parties, all transactions can be viewed in real time, data blocks are cryptographically linked, all raw materials are traceable and smart contracts ensure no middle-men, ease of audit and reduced friction. The trust, transparency, security, quality and reduced costs of blockchain make it a game-changing technology that crosses sectors, industries and borders with ease. Even though the technologies are ready for adoption, businesses remain largely unaware of their full potential and effective implementation. End users require accurate and up-to-date information on the practical applications of blockchain — Commercializing Blockchain provides it. A practical and easy-to-understand guide to blockchain, this timely book illustrates how this revolutionary technology can be used to transform governments, businesses, enterprises and entire communities. The author draws from his experience with global retailers, global technology companies, UCL Centre for Blockchain technologies, the government of the UK, Retail Blockchain Consortium and many other sources to present real-world case studies on the use and benefits of blockchain. Topics include financial transactions, tokenisation, identity management, supply chain transparency, global shipping and freight, counterfeiting and more. Provides practical guidance for blockchain transactions in business operations * Provides practical guidance for blockchain transactions in business operations * Demonstrates how blockchain can add value and bring increased efficiency to commercial operations * Covers all of the essential components of blockchain such as traceability, provenance, certification and authentication * Requires no technical expertise to embrace blockchain strategies Commercializing Blockchain: Strategic Applications in the Real World is ideal for enterprises seeking to develop and deploy blockchain technology, particularly in areas retail, supply chain and consumer goods.