Skip to Main Content (Press Enter)

Logo UNIPV
  • ×
  • Home
  • Degrees
  • Courses
  • Jobs
  • People
  • Outputs
  • Organizations

UNIFIND
Logo UNIPV

|

UNIFIND

unipv.it
  • ×
  • Home
  • Degrees
  • Courses
  • Jobs
  • People
  • Outputs
  • Organizations
  1. Outputs

The NewGuide Project: guidelines, information sharing and learning from exceptions

Conference Paper
Publication Date:
2003
abstract:
Among the well agreed-on benefits of a guideline computerisation, with respect to the traditional text format, there are the disambiguation, the possibility of looking at the guideline at different levels of detail and the possibility of generating patient-tailored suggestions. Nevertheless, the connection of guidelines with patient records is still a challenging problem, as well as their effective integration into the clinical workflow. In this paper, we describe the evolution of our environment for representing and running guidelines. The main new features concern the choice of a commercial product as the middle layer with the electronic patient record, the consequent possibility of gathering information from different legacy systems, and the extension of this “virtual medical record” to the storage of process data. This last feature allows managing exceptions, i.e. decisions that do not comply with guidelines
Iris type:
4.1 Contributo in Atti di convegno
List of contributors:
Ciccarese, Paolo; Caffi, Ezio; Boiocchi, L.; Halevy, A.; Quaglini, Silvana; Kumar, Anand; Stefanelli, Mario
Authors of the University:
QUAGLINI SILVANA
Handle:
https://iris.unipv.it/handle/11571/15961
Book title:
Artificial Intelligence in Medicine
Published in:
LECTURE NOTES IN COMPUTER SCIENCE
Journal
LECTURE NOTES IN COMPUTER SCIENCE
Series
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.6.1.0