updated readme

faridseifi · faridseifi · commit bbb4cdd2fcb0 · 2025-02-26T10:45:29.000-05:00
diff --git a/readme.md b/readme.md
@@ -1,4 +1,4 @@
-Note: [Version 3.0 of the MPOG knowledge base](https://github.com/Display-Lab/knowledge-base-mpog/releases/tag/3.0) is compatible with [SCAFFOLD v1.2](https://github.com/Display-Lab/scaffold/releases/tag/v1.2). It has a combination of local and remote causal pathways and message templates. Performance_measures, comparators and readme.md are added locally. Vignettes and some of the causal pathways and message templates are linked from the [Precision Feedback Knowledge Base release version 1.5](https://github.com/Display-Lab/knowledge-base/releases/tag/v1.5).
+Note: [Version 3.0 of the MPOG knowledge base](https://github.com/Display-Lab/knowledge-base-mpog/releases/tag/3.0) is created using [KOIO 2.1](https://github.com/kgrid/koio/tree/master/2.1) and is compatible with [SCAFFOLD v1.2](https://github.com/Display-Lab/scaffold/releases/tag/v1.2). It has a combination of local and remote causal pathways and message templates. Performance_measures, comparators and readme.md are added locally. Vignettes and some of the causal pathways and message templates are linked from the [Precision Feedback Knowledge Base release version 1.5](https://github.com/Display-Lab/knowledge-base/releases/tag/v1.5).
 
 # Precision Feedback Knowledge Base
 Healthcare professionals must learn continuously as a core part of their work. However, as health and biomedical knowledge continue to be produced at an increasing rate, better tools to support healthcare professionals' continuous learning are needed. Tools for learning from clinical data are widely available in the form of clinical quality dashboards and feedback reports, but these seem to be infrequently used. A key challenge for health systems in using feedback reports and dashboards is to recognize when clinical data are useful as feedback for healthcare professional learning. 

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`1`		-Note: [Version 3.0 of the MPOG knowledge base](https://github.com/Display-Lab/knowledge-base-mpog/releases/tag/3.0) is compatible with [SCAFFOLD v1.2](https://github.com/Display-Lab/scaffold/releases/tag/v1.2). It has a combination of local and remote causal pathways and message templates. Performance_measures, comparators and readme.md are added locally. Vignettes and some of the causal pathways and message templates are linked from the [Precision Feedback Knowledge Base release version 1.5](https://github.com/Display-Lab/knowledge-base/releases/tag/v1.5).
	`1`	+Note: [Version 3.0 of the MPOG knowledge base](https://github.com/Display-Lab/knowledge-base-mpog/releases/tag/3.0) is created using [KOIO 2.1](https://github.com/kgrid/koio/tree/master/2.1) and is compatible with [SCAFFOLD v1.2](https://github.com/Display-Lab/scaffold/releases/tag/v1.2). It has a combination of local and remote causal pathways and message templates. Performance_measures, comparators and readme.md are added locally. Vignettes and some of the causal pathways and message templates are linked from the [Precision Feedback Knowledge Base release version 1.5](https://github.com/Display-Lab/knowledge-base/releases/tag/v1.5).
`2`	`2`
`3`	`3`	`# Precision Feedback Knowledge Base`
`4`	`4`	Healthcare professionals must learn continuously as a core part of their work. However, as health and biomedical knowledge continue to be produced at an increasing rate, better tools to support healthcare professionals' continuous learning are needed. Tools for learning from clinical data are widely available in the form of clinical quality dashboards and feedback reports, but these seem to be infrequently used. A key challenge for health systems in using feedback reports and dashboards is to recognize when clinical data are useful as feedback for healthcare professional learning.