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Rosenberg and colleagues used an innovative approach by incorporating laboratory results, test results, feedback from physicians, and self-reported patient data to improve alert acceptance rates in their electronic prescribing system. For certain medication alerts, they managed to achieve acceptance rates higher than 90%, suggesting that clinicians found these alerts highly useful. The “drug-disease” alerts, such as alerts to prescribers about hepatotoxic medications in patients with underlying liver disease, sound particularly promising, since they warn clinicians about patients who are most likely to experience an adverse drug event. We commend the work that Rosenberg and colleagues are performing and agree that other electronic prescribing systems should adopt similar strategies.
Issaac T, Weissman JS, Davis RB, Massagli M, Cyrulik A, Sands DZ, Weingart SN. Consider the Content of Drug-Drug Interaction Alerts—Reply. Arch Intern Med. 2009;169(14):1336-1340. doi:10.1001/archinternmed.2009.226