Managing comorbid (and often polypharmacy) patients is clinically challenging because of the complexities associated with identifying and mitigating adverse interactions across diseases and drugs. We are working on new methods to mitigate adverse interactions (drug-drug or drug-disease) that occur in concurrently applied CPGs.
Our research relies on logic formalism to represent and manipulate the guidelines and combines this formalism with domain knowledge encoded as interaction and revision operators. On the one hand, the logic paradigm allows us to efficiently solve logical models representing CPGs – a solution represents a therapy that may be safely applied to a patient. On the other hand, the operators characterize adverse interactions and describe revisions to logical models required to address them. We consider the proposed approach as a foundation for an alerting tool for a physician at the point of care that will be implemented as a component of a larger clinical decision support system.