Architecture and Initial Development of a Knowledge-as-a-Service Activator for Computable Knowledge Objects for...

Area of Science:

• Biomedical informatics
• Health services research
• Computer science

Background:

• The gap between biomedical knowledge generation and clinical practice hinders effective healthcare.
• Existing infrastructure struggles to rapidly disseminate and implement new health findings.
• There is a need for scalable systems to bridge this knowledge-practice gap.

Purpose of the Study:

• To introduce the Knowledge Grid (KGrid) infrastructure.
• To describe the KGrid Activator, a core component for delivering Knowledge-as-a-Service (KaaS).
• To detail the system architecture and functions of the Activator.

Main Methods:

• Development of digital knowledge objects to represent biomedical information.
• Implementation of an online Library for storing these knowledge objects.
• Design and deployment of the Activator for on-demand KaaS delivery.
• Utilizing cloud computing for internet-scale deployment.

Main Results:

• The KGrid Activator facilitates the creation of computable biomedical knowledge.
• It enables rapid deployment of this knowledge via KaaS.
• The system architecture supports internet-scale cloud deployment for improved health applications.

Conclusions:

• The KGrid Activator is a key component for reducing the latency between knowledge discovery and practice.
• This infrastructure supports the efficient and scalable delivery of biomedical knowledge.
• The system has the potential to significantly improve healthcare through faster knowledge uptake.