OWL‐based acquisition and editing of computer‐interpretable guidelines with the CompGuide editor

Abstract

Computer‐Interpretable Guidelines (CIGs) are the dominant medium for the delivery of clinical decision support, given the evidence‐based nature of their source material. Therefore, these machine‐readable versions have the ability to improve practitioner performance and conformance to standards, with availability at the point and time of care. The formalisation of Clinical Practice Guideline knowledge in a machine‐readable format is a crucial task to make it suitable for the integration in Clinical Decision Support Systems. However, the current tools for this purpose reveal shortcomings with respect to their ease of use and the support offered during CIG acquisition and editing. In this work, we characterise the current landscape of CIG acquisition tools based on the properties of guideline visualisation, organisation, simplicity, automation, manipulation of knowledge elements, and guideline storage and dissemination. Additionally, we describe the CompGuide Editor, a tool for the acquisition of CIGs in the CompGuide model for Clinical Practice Guidelines that also allows the editing of previously encoded guidelines. The Editor guides the users throughout the process of guideline encoding and does not require proficiency in any programming language. The features of the CIG encoding process are revealed through a comparison with already established tools for CIG acquisition.

Predicting knowledge creation through the use of knowledge acquisition tools and reading knowledge sources

“…Moreover, previous studies by Paavola and Hakkarainen (2005), Liao et al (2010), Maula et al (2010), Lopez-Nicolas and Soto-Acosta (2010), Pástor et al (2013) and Helal (2017) explored to some extent the relationship between knowledge acquisition and knowledge creation. However, these studies were conducted in non-academic environments and none of them studied and tested the variables used in this study to find the relationship between knowledge acquisition and knowledge creation.…”

“…With respect to the five challenges reported by the authors, GSS proved to be an important tool for knowledge acquisition. Similarly, a study by Oliveira et al (2019) reported the use of computer-interpretable guidelines (CIGs) for knowledge acquisition. According to the authors, CIGs have the ability to facilitate knowledge acquisition through visualization and organization, simplicity and automation, manipulation of knowledge elements and storage and dissemination.…”

High-Level Smart Decision Making of a Robot Based on Ontology in a Search and Rescue Scenario

“…It can also reason about new or hidden knowledge based on known factual knowledge. Ontologies are widely used in many domains, such as information science [30,31], medical science [32,33], and education [34,8].…”

The journal of knowledge engineering special issue on WorldCist'17—fifth world conference on information systems and technologies

“…Tiago Oliveira, Gonçalves, Novais, Satoh, and Neves () OWL‐based acquisition and editing of computer‐interpretable guidelines [CIG] with the CompGuide editor, present the characterization of the current landscape of CIG as medium for the delivery of clinical decision support acquisition tools based on the properties of guideline visualization, organization, simplicity, automation, manipulation of knowledge elements, and guideline storage and dissemination. Additionally, they described the CompGuide Editor, a tool for the acquisition of CIGs in their CompGuide model for Clinical Practice Guidelines that also allows the editing of previously encoded guidelines.…”