Clinical risk assessment of modelled situations in a pharmaceutical decision support system: a modified e-Delphi exploratory study.

Background: Pharmaceutical decision support systems (PDSSs) use reasoning software to match patient data to modelled situations likely to cause drug-related problems (DRPs) or adverse drug events. To aid decision-making, modelled situations must be linked to well-defined systemic clinical risks.

Aim: To obtain expert consensus on the level of clinical risk for patients associated with each modelled situation that could be addressed using a PDSS.