Runtime application of Hybrid-Asbru clinical guidelines

Ohad Young, Yuval Shahar, Yair Liel, Eitan Lunenfeld, Guy Bar, Erez Shalom, Susana B. Martins, Laszlo T. Vaszar, Tal Marom, Mary K. Goldstein

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

Clinical guidelines are a major tool in improving the quality of medical care. However, to support the automation of guideline-based care, several requirements must be filled, such as specification of the guidelines in a machine-interpretable format and a connection to an Electronic Patient Record (EPR). For several different reasons, it is beneficial to convert free-text guidelines gradually, through several intermediate representations, to a machine-interpretable format. It is also realistic to consider the case when an EPR is unavailable. We propose an innovative approach to the runtime application of intermediate-represented Hybrid-Asbru guidelines, with or without an available EPR. The new approach capitalizes on our extensive work on developing the Digital electronic Guideline Library (DeGeL) framework. The new approach was implemented as the Spock system. For evaluation, three guidelines were specified in an intermediate format and were applied to a set of simulated patient records designed to cover prototypical cases. In all cases, the Spock system produced the expected output, and did not produce an unexpected one. Thus, we have demonstrated the capability of the Spock system to apply guidelines encoded in the Hybrid-Asbru intermediate representation, when an EPR is not available.

Original languageEnglish (US)
Pages (from-to)507-526
Number of pages20
JournalJournal of Biomedical Informatics
Volume40
Issue number5
DOIs
StatePublished - Oct 2007

Keywords

  • Clinical guidelines
  • Decision support systems
  • Knowledge representation

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics

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