About: Value engineering and multi-criteria decision making applied to the assessment of patient monitors     Goto   Sponge   Distinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Background: Hospitals regularly deal with the issue of purchasing medical equipment. In the last twenty years there has been great scientific and technological development that brought a large number of new medical diagnostic and therapeutic procedures and technologies. This development has undoubtedly led to improvements in health care and quality of life of patients, but is accompanied by a steady increase in costs that are exceeding limited financial resources of health care facilities. As a solution to this problem, we proposed a methodology supporting the selection of appropriate health technology in medical facilities (HTAi 2012 Annual Meeting, Gac Sanit.2012; 26: 251). This methodology was applied to the selection of patient monitors in the intensive care unit. Methods and Conclusions: Based on conducted market analysis and the selected criteria, a shortlist of patient monitors was chosen and made ready for further application of selected methods of HTA and value engineering. In the first part of this study, various parameters of patient monitors are evaluated using the paired comparison method, and multi-criteria analysis, particularly the WSA. For assessment of the devices in terms of their costs and benefits, the CMA, CEA and CCA methods were chosen. Operating and maintenance costs of selected patient monitors within three years, their failure rate and cost effectiveness were primarily compared. Moreover, the selected monitors were compared also from the perspective of future users based on a questionnaire survey carried out between the staff of several intensive care units.
  • Background: Hospitals regularly deal with the issue of purchasing medical equipment. In the last twenty years there has been great scientific and technological development that brought a large number of new medical diagnostic and therapeutic procedures and technologies. This development has undoubtedly led to improvements in health care and quality of life of patients, but is accompanied by a steady increase in costs that are exceeding limited financial resources of health care facilities. As a solution to this problem, we proposed a methodology supporting the selection of appropriate health technology in medical facilities (HTAi 2012 Annual Meeting, Gac Sanit.2012; 26: 251). This methodology was applied to the selection of patient monitors in the intensive care unit. Methods and Conclusions: Based on conducted market analysis and the selected criteria, a shortlist of patient monitors was chosen and made ready for further application of selected methods of HTA and value engineering. In the first part of this study, various parameters of patient monitors are evaluated using the paired comparison method, and multi-criteria analysis, particularly the WSA. For assessment of the devices in terms of their costs and benefits, the CMA, CEA and CCA methods were chosen. Operating and maintenance costs of selected patient monitors within three years, their failure rate and cost effectiveness were primarily compared. Moreover, the selected monitors were compared also from the perspective of future users based on a questionnaire survey carried out between the staff of several intensive care units. (en)
Title
  • Value engineering and multi-criteria decision making applied to the assessment of patient monitors
  • Value engineering and multi-criteria decision making applied to the assessment of patient monitors (en)
skos:prefLabel
  • Value engineering and multi-criteria decision making applied to the assessment of patient monitors
  • Value engineering and multi-criteria decision making applied to the assessment of patient monitors (en)
skos:notation
  • RIV/68407700:21460/13:00205726!RIV14-MZ0-21460___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(NT11532)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 113577
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21460/13:00205726
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • value engineering; MCA; HTA; medical devices (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [6E45FB243E0D]
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Rogalewicz, Vladimír
  • Juřičková, Ivana
  • Borovský, Juraj
  • Krejčová, Simona
http://localhost/t...ganizacniJednotka
  • 21460
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 82 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software