Clinical decision support

A system, comprising:

• one or more processors;
• a memory coupled to at least one of the processors;
• and
• a set of computer program instructions stored in the memory and executed by at least one of the processors in order to perform actions of:
• receiving a plurality of rule sets, each respective rule set comprising one or more respective rules, wherein at least one rule of at least one of the plurality of rule sets indicates a clinical condition and a clinical conclusion;
• generating a combined graph including at least one loop based on the plurality of rule sets, wherein a first rule of at least one of the plurality of rule sets is indicated with a path comprising at least one first node and a second node, the at least one first node indicating a clinical condition and the second node indicating a clinical conclusion, and wherein generating the graph comprises:
• creating a node, in a first graphical representation, for a first clinical condition specified in a first rule set, wherein the first graphical representation further includes a first path corresponding to a first rule in the first rule set, and wherein the first path is associated with a first edge attribute indicating a priority of the first path based at least in part on a price associated with the first path;
• creating a node, in a second graphical representation, for a second clinical condition specified in a second rule set, wherein the second graphical representation further includes a second path corresponding to a second rule in the second rule set, and wherein the second path is associated with a second edge attribute indicating a priority of the second path based at least in part on a price associated with the second path;
• and
• upon determining that the first and second clinical conditions represented by the node in the first graphical representation and the node in the second graphical representation match, generating the combined graph by:
• combining the node, from the first graphical representation, for the first clinical condition and the node, from the second graphical representation, for the second clinical condition to create a single combined node in the combined graph to represent both the node from the first graphical representation and the node from the second graphical representation, and
• adding the first and second paths to the combined graph by adding one or more edges, in the combined graph, connecting to the combined node, wherein the combined graph distinguishes between the first and second rule sets by depicting the first path using a first color and the second path using a second color;
• obtaining patient information comprising at least one clinical condition;
• searching the combined graph based on the at least one clinical condition;
• and
• upon determining that at least one path matching the at least one clinical condition is found in the combined graph:
• highlighting, in the combined graph, one or more nodes associated with the at least one path;
• and
• determining a clinical conclusion based on the at least one path.

A computer program product, comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:

• receive a plurality of rule sets, each respective rule set comprising one or more respective rules, wherein at least one rule of at least one of the plurality of rule sets indicates a clinical condition and a clinical conclusion;
• generate a combined graph including at least one loop based on the plurality of rule sets, wherein a first rule of at least one of the plurality of rule sets is indicated with a path comprising at least one first node and a second node, the at least one first node indicating a clinical condition and the second node indicating a clinical conclusion, and wherein generating the combined graph comprises:
• creating a node, in a first graphical representation, for a first clinical condition specified in a first rule set, wherein the first graphical representation further includes a first path corresponding to a first rule in the first rule set, and wherein the first path is associated with a first edge attribute indicating a priority of the first path based at least in part on a price associated with the first path;
• creating a node, in a second graphical representation, for a second clinical condition specified in a second rule set, wherein the second graphical representation further includes a second path corresponding to a second rule in the second rule set, and wherein the second path is associated with a second edge attribute indicating a priority of the second path based at least in part on a price associated with the second path;
• and
• upon determining that the first and second clinical conditions represented by the node in the first graphical representation and the node in the second graphical representation match, generating the combined graph by:
• combining the node, from the first graphical representation, for the first clinical condition and the node, from the second graphical representation, for the second clinical condition to create a single combined node in the combined graph to represent both the node from the first graphical representation and the node from the second graphical representation, and
• adding the first and second paths to the combined graph by adding one or more edges, in the combined graph, connecting to the combined node, wherein the combined graph distinguishes between the first and second rule sets by depicting the first path using a first color and the second path using a second color;
• obtain patient information comprising at least one clinical condition;
• search the combined graph based on the at least one clinical condition;
• and
• upon determining that the at least one path matching the at least one clinical condition is found in the combined graph:
• highlight, in the combined graph, one or more nodes associated with the at least one path;
• and
• determine a clinical conclusion based on the at least one path.