Using Artificial Intelligence to Measure and Optimize Adherence in Patients on Anticoagulation Therapy
In this video Rich Christie MD PhD will discuss:
- Treatment adherence is a critical component of anticoagulation therapy. When anticoagulation is indicated for stroke prevention, strict adherence to warfarin has been shown to be highly effective. The recent introduction of direct oral anticoagulants (DOACs), while reducing the need for regular monitoring in an elderly and sick patient population, has also placed pressure on patients to self-manage and be fully adherent.
- Non-adherence accounts for approximately 30-50% of treatment failures in patients on anticoagulation therapy. Elderly patients who are discharged home after a stroke are at high risk of medication non-adherence and discontinuation of therapy.
- The majority of monitoring solutions (pill counts, patient self-reports, pharmacy refill data, electronic packaging) do not confirm medication ingestion. Accurate and continuous monitoring of medication adherence to all oral anticoagulants (warfarin and DOACs) allows for immediate intervention with patients who miss doses.
- The artificial intelligence (AI) Platform (AiCure, New York, NY) uses artificial intelligence to visually confirm medication ingestion using software that can be downloaded as an application onto any mobile device. Software algorithms identify the patient, the drug, and confirm ingestion. Encrypted data are sent to cloud-based dashboards for real-time monitoring and intervention; missed doses, late doses, or incorrect usage immediately trigger alerts.