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by Kurt Lenz,Philipp G.H. Metnitz
Download Patient Data Management in Intensive Care (Intensivmedizinisches Seminar) fb2
Medicine
  • Author:
    Kurt Lenz,Philipp G.H. Metnitz
  • ISBN:
    3211825134
  • ISBN13:
    978-3211825136
  • Genre:
  • Publisher:
    Springer (September 22, 1993)
  • Pages:
    150 pages
  • Subcategory:
    Medicine
  • Language:
  • FB2 format
    1928 kb
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    1231 kb
  • DJVU format
    1846 kb
  • Rating:
    4.9
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    503
  • Formats:
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Автор: Kurt Lenz; Philipp .

Автор: Kurt Lenz; Philipp . Описание: This timely book is a road map for defining the care of acute heart failure patients in the short stay or observation unit setting

Start by marking Patient Data Management in Intensive Care as Want to Read . Thus, this book provides valuable information for clinicians and hospital managers who have to decide on the purchase of a Patient Data Management System.

Start by marking Patient Data Management in Intensive Care as Want to Read: Want to Read savin. ant to Read.

Patient data management systems in intensive care - the situation in Europe. Phillip G. H. Metnitz, Kurt Lenz

Patient data management systems in intensive care - the situation in Europe. Metnitz, Kurt Lenz. Intensive Care Medicine. d Patient Data Management Systems (PDMS) have been developed for handling the enormous increase in data collection in ICUs. This study tries to evaluate the functionality of suc. More).

Especially in intensive care medicine, where nearly unmanageable amounts of data have to be documented, these methods are . Computerized Patient Data Management Systems (PDMS) have been developed for handling the enormous increase in data collection in ICUs

Especially in intensive care medicine, where nearly unmanageable amounts of data have to be documented, these methods are often unsatisfactory. Computerized Patient Data Management Systems (PDMS) have been developed for handling the enormous increase in data collection in ICUs.

Are you Philipp G H Metnitz? Register this Author. Register with ORCID iD. PUBLICATIONS 34. Philipp G H Metnitz. About publications (34) network. From the Department of Anesthesia, General Intensive Care, and Pain Management, Medical University of Vienna, Vienna (DMB); Department of General Anaesthesiology, Emergency and Intensive Care Medicine, Medical University of Graz, Graz, Austria (PGHM); Department of Intensive Care Medicine, St George's Healthcare NHS Trust, and St George's Hospital, St George's University of London, London, United Kingdom (AR.

Department of Anesthesia and General Intensive Care, University Hospital of Vienna, Austria

Department of Anesthesia and General Intensive Care, University Hospital of Vienna, Austria. OBJECTIVES: To evaluate the ability of an interdisciplinary data set (recently defined by the Austrian Working Group for the Standardization of a Documentation System for Intensive Care ) to assess intensive care units (ICUs) by means of the Simplified Acute Physiology Score II (SAPS II) for the severity of illness and the simplified Therapeutic Intervention Scoring System (TISS-28) for the level. DESIGN: A prospective, multicentric study. SETTING: Nine adult medical,.

The European Consortium for Intensive Data in Intensive Care and .

purpose was to establish a European wide database for In our opinion, decision support starts at the integration quality control and multicenter issues. The pilot study and visualization of data on the screen. Clinic of Anesthesia + General Intensive Care, Waehringer Guestel 18-20, A-1090 Vienna 1. Weiler Th, Heinrichs W, Schmitz JE.

Particular conditions frequently observed in intensive care such as patients with dysphagia, frail patients, multiple .

Particular conditions frequently observed in intensive care such as patients with dysphagia, frail patients, multiple trauma patients, abdominal sur-gery, sepsis, and obesity are discussed to guide the practitioner toward the best evidence based therapy. Monitoring of this nutritional therapy is discussed in a separate document.

Metnitz PGH, Lenz K: Patient data management systems in intensive care: The situation in Europe. Langenberg CJM. Implementation of an electronic patient data management system (PDMS) on an intensive care unit (ICU). Int J Biomed Comput 42:97 -101, 1996. Intensive Care Med21 : 703-715,1995. OpenUrl CrossRef PubMed. Hendrickson G, Kovner CT: Effects of computers on nursing resource use. Comput Nurs 1:16 -21, 1990. Crew AD, Stoodley KD, Old S, Unsworth GD, Martin WN, Kincaid K: A sampling study of bedside nursing activity in a cardiac surgical intensive care unit.

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.