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Designing, implementing and evaluating e-prescription: a field study and comparison with PSIP results

  • Constanza Riccioli
  • , Pietro Cacciabue
  • , Mauro Campanini
  • , Martin Jung
  • , Romaric Marcilly
  • KITE Solutions (SNC)
  • Polytechnic University of Milan
  • Ospedale Maggiore
  • Private University for Health Sciences, Medical Informatics and Technology
  • Inserm CIC-IT

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

E-prescription is amongst the most widespread medical electronic support functions. However, several studies reported acceptance and utilisation rates not as high as expected.

This paper performs firstly an analysis of the literature on e-prescription characteristics and functionalities especially with respect to their actual usage. Then a specific field study was conducted in an Internal Medicine ward, to investigate human factor issues associated to the introduction of an e-prescription system.

Finally, the findings of the field study are framed within the actual implementation of various electronic support outputs resulting from the European Project “Patient safety through intelligent procedures in medication” (PSIP). The results show the importance of a systemic view when designing, implementing and evaluating medical support systems, as the pre-existing structures and tools largely influence the impact of those systems and their effects.
Original languageEnglish
Title of host publicationPatient safety informatics - adverse drug events, human factors and IT tools for patient medication safety
EditorsVassilis Koutkias, Julie Niès, Sanne Jensen, Nicos Maglaveras, Régis Beuscart
Place of PublicationAmsterdam, The Netherlands
PublisherIOS Press
Pages105-115
Number of pages11
ISBN (Electronic)9781607507406
ISBN (Print)9781607507390
DOIs
Publication statusPublished - Jan 2011
Externally publishedYes

Publication series

NameStudies in health technology and informatics
PublisherIOS Press
Volume166
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Keywords

  • e-prescription
  • medical support systems
  • field studies
  • human factors
  • usability

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