Combining decision support system-generated recommendations with interactive guideline visualization for better informed decisions

Lucia Sacchi, Enea Parimbelli, Silvia Panzarasa, Natalia Viani, Elena Rizzo, Carlo Napolitano, Roxana Ioana Budasu, Silvana Quaglini

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

Abstract

The main task of decision support systems based on computerinterpretable guidelines (CIG) is to send recommendations to physicians, combining patients’ data with guideline knowledge. Another important task is providing physicians with explanations for such recommendations. For this purpose some systems may show, for every recommendation, the guideline path activated by the reasoner. However the fact that the physician does not have a global view of the guideline may represent a limitation. Indeed, there are instances (e. g. when the clinical presentation does not perfectly fit the guideline) in which the analysis of alternatives that were not activated by the system becomes warranted. Furthermore possibly valid alternatives could not be activated due to lack of data or wrong knowledge representation. This paper illustrates a CIG implementation that complements the two functionalities, i. e., sending punctual recommendations and allowing a meaningful navigation of the entire guideline. The training example concerns atrial fibrillation management.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages337-341
Number of pages5
Volume9105
ISBN (Print)9783319195506
DOIs
Publication statusPublished - 2015
Event15th Conference on Artificial Intelligence in Medicine, AIME 2015 - Pavia, Italy
Duration: Jun 17 2015Jun 20 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9105
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other15th Conference on Artificial Intelligence in Medicine, AIME 2015
CountryItaly
CityPavia
Period6/17/156/20/15

Keywords

  • Atrial fibrillation
  • Computer interpretable guidelines
  • Decision support systems
  • Knowledge representation

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Fingerprint Dive into the research topics of 'Combining decision support system-generated recommendations with interactive guideline visualization for better informed decisions'. Together they form a unique fingerprint.

Cite this