Process mining helps understand processes within healthcare. While often used in secondary care, there is little work using primary care data.
Serious adverse events that result from hazardous prescrib-ing are common and costly. For example, non-steroidal anti-inflammatory drugs (NSAIDs) and antiplatelets which can cause gastro-intestinal bleeds (GiBs). Prescribing typically occurs within primary care, therefore we used this setting to attempt process mining.
Certain patients should be prescribed gastro-protection alongside NSAIDs or antiplatelets. We extracted events (drug started, drug stopped, GiB) for understanding three prescrib-ing pathways, and applied process mining.
We found NSAIDs are often short-term prescriptions whereas antiplatelets are often long-term. This perhaps explains our finding that co-prescription of gastro-protection is more prevalent for antiplatelets than NSAIDs. We identified rea-sons why primary care data is harder to process mine and proposed solutions. Process mining primary care data is pos-sible and likely useful for improving patient safety and re-ducing costs.