Accepted for/Published in: JMIR Biomedical Engineering
Date Submitted: Jul 22, 2018
Open Peer Review Period: Jul 24, 2018 - Sep 18, 2018
Date Accepted: Dec 11, 2018
(closed for review but you can still tweet)
A Knowledge based Visual Analytics Framework for Evaluating Adherence of Clinical Practice Guidelines with Clinical Outcomes
ABSTRACT
Background:
Although clinical practice guidelines (CPGs) are useful tools to standardize and improve patient care, measuring their adherence by providers are known to be challenging and hard to be automated.
Objective:
The objective of this paper is to fill in the gap of clinical knowledge in data pipelines for evaluating adherence of CPGs by use of clinical knowledge management approaches and tools.
Methods:
We developed a visual analytics framework integrated with an enterprise knowledge base (KB) that specializes in managing clinical knowledge, so that key information of CPM adherence evaluation can be authored and stored in a centralized environment. The key contents were shared and reused by domain experts, query developers, analysts, and consumed by the data pipelines as executable queries.
Results:
We implemented 21 locally developed CPGs as a pilot effort using the proposed framework. We built a web-based dashboard for monitoring and evaluating adherence of the CPMs with clinical outcomes in production environment upon the pipeline of extracting data from our enterprise data warehouse (EDW).
Conclusions:
It was demonstrated that the proposed framework can accommodate complicated knowledge management and data pipelining for CPM evaluation using KB while maintaining computational efficiency.
Citation
Per the author's request the PDF is not available.
Copyright
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