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CAPABLE D5.3: Prototype of Guideline-based Decision Component

Authors: Glasspool, David; Quaglini, Silvana; Kogan, Alexandra; Wilk, Szymon;

CAPABLE D5.3: Prototype of Guideline-based Decision Component

Abstract

This document is a “demonstration” deliverable that accompanies the video available on the project website. Its purpose is to demonstrate the capabilities of the guideline-based decision support technology implemented in the project. This mainly involves two CAPABLE components, the Physician Decision Support System (PDSS) and the goal-based inference component GoCom that detects and mitigates drug-drug interactions as well as interactions between guideline recommendations. Two demonstrations are presented. The main demonstration shows how PDSS and GoCom work together to provide guideline-based decision support with goal-based detection and resolution of drug interactions. This is presented as a video of the PDSS and GoCom logs during a simulated run of a clinical scenario, with a voice-over and a walk-through in this document explaining each step of the demonstration. A secondary demonstration covers the modes of interaction that have been developed between the Predictive Model Component (PMC) and PDSS, allowing machine-learning-based predictive analytics to be combined with guideline-based decision support and delivered to a physician at the point of care. This is an experimental feature which will not be used in the clinical pilot, thus its demonstration is more limited.

This deliverable is a part of a project receiving funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 875052

Keywords

computer-interpretable guidelines, clinical decision support, demo, clinical practice guidelines

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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