Patient Data Management Systems in Intensive Care - 1996
Title | Patient Data Management Systems in Intensive Care - 1996 PDF eBook |
Author | G. H Metnitz |
Publisher | |
Pages | |
Release | 1996 |
Genre | |
ISBN |
Patient Data Management in Intensive Care
Title | Patient Data Management in Intensive Care PDF eBook |
Author | Kurt Lenz |
Publisher | Springer Science & Business Media |
Pages | 147 |
Release | 2012-12-06 |
Genre | Medical |
ISBN | 3709193206 |
Recent technological innovations - influenced primarily by the development of more sophisticated, faster and cheaper computer systems - permitted also the evolution of more affordable systems for Patient Data Management, so called PDM-Systems. The experience of the authors, on one of the first PDMS installation sites in Europe, shows that the purchase of such a system is not an easy task, since accurate data are not available in a comparable format. Therefore the first part of the book is devoted to a comparison of already installed, commercially distributed bedside based PDMS with regard to their specifications, functions and performance. The methods included a questionnaire with detailed questions for the vendors to answer and a "table of functions” comparing the most important functions which should be included in a PDMS. With that list the different systems (which were all in clinical use) were checked for the availability and the way of use of these functions. To evaluate variations in the systems performance an "information retrieval test” was designed and executed. In the second part the different vendors, whose systems were included in the study, were to describe the systems from their viewpoints. The third part contains papers describing the users’ experiences. The fourth and last part shows how to use PDMS-data for scientific and therapeutic purposes including two papers on clinical expert systems. Thus, this book provides valuable information for clinicians and hospital managers who have to decide on the purchase of a Patient Data Management System.
Cumulated Index Medicus
Title | Cumulated Index Medicus PDF eBook |
Author | |
Publisher | |
Pages | 1850 |
Release | 1997 |
Genre | Medicine |
ISBN |
Effective Healthcare Information Systems
Title | Effective Healthcare Information Systems PDF eBook |
Author | Armoni, Adi |
Publisher | IGI Global |
Pages | 340 |
Release | 2001-07-01 |
Genre | Medical |
ISBN | 1931777209 |
Enterprise evolution (or electronic enterprise) is the road map to well-planned evolution of enterprise complexity with business and system strategies integration through standardized and synchronized architectures of IT components. This book provides a method of how to analyze, design and manage the applications of IT in a complex, evolving enterprise. It provides a vision for IT leaders with practical solutions for IT implementation.
Advanced Topics in End User Computing, Volume 1
Title | Advanced Topics in End User Computing, Volume 1 PDF eBook |
Author | Mahmood, Mo Adam |
Publisher | IGI Global |
Pages | 420 |
Release | 2001-07-01 |
Genre | Computers |
ISBN | 1591400287 |
Advanced Topics in End User Computing features the latest research findings dealing with end user computing concepts, issues, and trends. It provides a forum to both academics and information technology practitioners to advance the practice and understanding of end user computing in organizations. Empirical and theoretical research concerned with all aspects of end user computing including development, utilization and management are included.
Title | PDF eBook |
Author | |
Publisher | Wolters Kluwer India Pvt Ltd |
Pages | |
Release | |
Genre | |
ISBN | 9390612535 |
Medical Data Analysis
Title | Medical Data Analysis PDF eBook |
Author | Rüdiger W. Brause |
Publisher | Springer |
Pages | 327 |
Release | 2003-07-31 |
Genre | Computers |
ISBN | 3540399496 |
It is a pleasure for us to present the contributions of the First International Symposium on Medical Data Analysis. Traditionally, the eld of medical data analysis can be devided into classical topics such as medical statistics, sur- val analysis, biometrics and medical informatics. Recently, however, time series analysis by physicists, machine learning and data mining with methods such as neural networks, Bayes networks or fuzzy computing by computer scientists have contributed important ideas to the led of medical data analysis. Although all these groups have similar intentions, there was nearly no exchange or discussion between them. With the growing possibilities for storing and ana- zing patient data, even in smaller health care institutions, the need for a rational treatment of all these data emerged as well. Therefore, the need for data exchange and presentation systems grew also. The goal of the symposium is to collect all these relevant aspects together. It provides an international forum for the sharing and exchange of original re- arch results, ideas and practical experiences among researchers and application developers from di erent areas related to medical applications dealing with the analysis of medical data. After a thorough reviewing process, 33 high quality papers were selected from the 45 international submissions. These contributions provided the di erent - pects of the eld in order to represent us with an exciting program.