Details

Informatizacija zdravstvenega sistema : ocena stanja v Sloveniji in možnosti uvedbe računalništva v oblaku
ID Pišek, Tadej (Author), ID Kovačič, Andrej (Mentor) More about this mentor... This link opens in a new window

URLURL - Presentation file, Visit http://www.cek.ef.uni-lj.si/magister/pisek1484-B.pdf This link opens in a new window

Language:Slovenian
Keywords:Slovenija, zdravstvo, zdravstveno varstvo, sistemi, spremembe, informatika, informacijska tehnologija, projekti
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:EF - School of Economics and Business
Place of publishing:Ljubljana
Publisher:[T. Pišek]
Year:2014
Number of pages:III, 77 str.
PID:20.500.12556/RUL-70522 This link opens in a new window
UDC:659.2
COBISS.SI-ID:22388454 This link opens in a new window
Publication date in RUL:10.07.2015
Views:1441
Downloads:145
Metadata:XML DC-XML DC-RDF
:
PIŠEK, Tadej, 2014, Informatizacija zdravstvenega sistema : ocena stanja v Sloveniji in možnosti uvedbe računalništva v oblaku [online]. Master’s thesis. Ljubljana : T. Pišek. [Accessed 31 March 2025]. Retrieved from: http://www.cek.ef.uni-lj.si/magister/pisek1484-B.pdf
Copy citation
Share:Bookmark and Share

Secondary language

Language:Unknown
Title:The informatization of the health care system: an assessment of the state-of-the-art in Slovenia and the options of introducing cloud computing
Keywords:Slovenia, health services, health care, systems, changes, informatics, information technology, projects

Similar documents

Similar works from RUL:
  1. Short-term load forecasting for industrial and residential consumers
  2. Strategies for optimization of electric energy consumption costs of refrigeration technique in shopping centers
  3. Forecasting of daily electric load profiles using fuzzy logic
  4. Comprehensive electric arc furnace electric energy consumption modeling
  5. Electric energy price forecasting in day-ahead market with time series
Similar works from other Slovenian collections:
  1. Forecasting of electric energy consumption in corporation Talum d. d.
  2. Predicting power consumption with recurrent neural networks
  3. Comparison of models for electricity consumption forecasting
  4. Light pollution in the Slovenian coastal and Karst region
  5. Prognoziranje porabe električne energije s pomočjo nevronskih omrežij

Back