Treatment Recommendations Based on Drug-to-Drug Interactions

A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device, causes the computing device to implement a cognitive medical treatment recommendation system which operates to:

• ingest a corpus of medical treatment content, wherein the medical treatment content comprises drug-to-drug interaction information;
• generate a set of drug interaction insight data structures based on the ingested corpus of medical treatment content;
• generate an initial set of candidate treatments for a medical condition of a patient based on an analysis of one or more electronic medical records (EMRs) associated with the patient;
• rank candidate treatments in the initial set of candidate treatments based on the set of drug interaction insight data structures to generate a final set of candidate treatments, wherein the ranking reduces rankings of candidate treatments in which drug interactions are identified in the set of drug interaction insight data structures;
• and
• output a treatment recommendation based on the final set of candidate treatments.

An apparatus comprising:

• at least one processor;
• and
• at least one memory coupled to the at least one processor, wherein the at least one memory comprises instructions which, when executed by the at least one processor, cause the at least one processor to:
• ingest a corpus of medical treatment content, wherein the medical treatment content comprises drug-to-drug interaction information;
• generate a set of drug interaction insight data structures based on the ingested corpus of medical treatment content;
• generate an initial set of candidate treatments for a medical condition of a patient based on an analysis of one or more electronic medical records (EMRs) associated with the patient;
• rank candidate treatments in the initial set of candidate treatments based on the set of drug interaction insight data structures to generate a final set of candidate treatments, wherein the ranking reduces rankings of candidate treatments in which drug interactions are identified in the set of drug interaction insight data structures;
• and
• output a treatment recommendation based on the final set of candidate treatments.