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Background and Purpose—This study evaluated the use of an artificial intelligence platform on mobile devices in measuring and increasing medication adherence in stroke patients on anticoagulation therapy. The introduction of direct oral anticoagulants, while reducing the need for monitoring, have also placed pressure on patients to self-manage.
Accurately monitoring and collecting drug adherence data can allow for better understanding and interpretation of the outcomes of clinical trials [ - ]. The advent of electronic monitoring has generated a wealth of published data on the value of analyzing drug adherence and using this information as an explanatory variable in itself [ - ].
Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy Daniel L. Labovitz, Laura Shafner, Morayma Reyes Gil, Deepti Virmani and Adam Hanina
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