Computerised guidelines implementation: Obtaining feedback for revision of guidelines, clinical data model and data flow

S. Panzarasa, S. Quaglini, A. Cavallini, S. Marcheselli, M. Stefanelli, G. Micieli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In mis paper we describe a module that allows to collect (a) motivations for non-compliance to guidelines, (b) motivations for poor data entry into the electronic patient record, and (c) comments on medical aspects of guideline recommendations, on their formalisation into computerised rules, and on the guideline integration into the computerised clinical chart. We organised a well-structured taxonomy of non-compliance motivations in such a way that the main hierarchical levels correspond to different medical or technical roles suitable for feedback managing. We analysed about 400 consecutive cases of patients with ischemic stroke. About 40 non-compliances, as well as several incomplete data forms have been identified and motivated.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages461-466
Number of pages6
Volume4594 LNAI
Publication statusPublished - 2007
Event11th Conference on Artificial Intelligence in Medicine, AIME 2007 - Amsterdam, Netherlands
Duration: Jul 7 2007Jul 11 2007

Other

Other11th Conference on Artificial Intelligence in Medicine, AIME 2007
CountryNetherlands
CityAmsterdam
Period7/7/077/11/07

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Fingerprint Dive into the research topics of 'Computerised guidelines implementation: Obtaining feedback for revision of guidelines, clinical data model and data flow'. Together they form a unique fingerprint.

Cite this