Documentation: A Decision Map is used to model guideline recommendations that have the form of clinical situations for which a set of alternative interventions are possible. A guideline suggests circumstances in which a particular intervention is preferred. Each Decision Map consists primarily of context nodes followed by decision nodes. Computationally a decision map can be (1) an augmented transition network, where one action step leads to one specific context (state), (2) a decision tree, where an action step leads to one of several possible contexts (states), or (3) a collection of independent decisions (where actions don't lead to other contexts).

Superclasses

• Recommendation_Set

Subclasses

• None

Types

• :STANDARD-CLASS

Template Slots
	Slot Name	Documentation	Type	Cardinality
	description	The description of this Decision MapA paragraph describing the nature of the instance	String	1:1
	label	Each instance has a unique label that can be assigned by the guideline modeler. The label should be descriptive of the guideline element. Labels have no programmatic meaning.A short human readable string indicating the content of the instancehuman-readable string for the instance	String	0:1
	recommendations	The graphical depiction of the recommendations made by this Decision Map. This is composed of Context, Decision, and Action nodes, connected by Transitions.	Decision_Map_Node	1:*
	references	References to evidence supporting these recommendations.Sources of information regarding this concept-to-concept relationship.	Supplemental_Material	0:*
	transitions	Directional pointers from one node to another.	Transition	0:*

Own Slots
	Slot Name	Value
	:ROLE	Concrete
	:SLOT-CONSTRAINTS

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