Development of a context model to prioritize drug safety alerts in CPOE systems

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This article is about prioritizing drug safety alerts. Although the Computerized Physician Order Entry system (CPOE) can reduce the number of medication errors, they tend to produce way to many alerts. To reduce the number of medication errors and Adverse Drug Events (ADE), the CPOE had to be equipped with further Clinical Decision Support (CDS).


The methods that were used in this study were factor identification phase, model generation phase, and model validation phase. In the factor identification phase, they identified the possible context factors that might be used to prioritize and present drug safety alerts. In the 2nd phase, model generation, the literature search and the semi-structured interviews were generalized and hierarchically organized. In the final phase, model validation, a internal validation was performed.


The final context model is the result of performed literature search and the five semi-structural expert interviews. There were 20 factors grouped into 3 categories, characteristics of the patient or case, characteristics of the organizational unit or user, and alert characteristics. In the search 33 papers were identified that named 20 possible context factors.


In conclusion, the authors state that there is no other attempt to structure and validate possible context factors for alert optimization within CPOE systems.



  1. CPOE Development of a context model to prioritize drug safety alerts in CPOE systems