Project deliverable Open Access
CAPABLE D5.3: Prototype of Guideline-based Decision Component
Glasspool, David;
Quaglini, Silvana;
Kogan, Alexandra;
Wilk, Szymon
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.
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CAPABLE_D5.3_Prototype_of_Guideline-based_Decision_Component.pdf
md5:fe591c6ed7838a1973ff44f6fb6658db |
1.4 MB | Download |
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| Views | 30 | 30 |
| Downloads | 31 | 31 |
| Data volume | 43.3 MB | 43.3 MB |
| Unique views | 26 | 26 |
| Unique downloads | 29 | 29 |
- Publication date:
- July 11, 2022
- DOI:
-
- Keyword(s):
- clinical practice guidelines computer-interpretable guidelines clinical decision support demo
- Grants:
-
European Commission:
- CAPABLE - CAncer PAtients Better Life Experience (875052)
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International