Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy.

Journal: Stroke
PMID: 28386037

Abstract

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. Suboptimal adherence goes undetected as routine laboratory tests are not reliable indicators of adherence, placing patients at increased risk of stroke and bleeding.

Authors

  • Daniel L Labovitz
    From the Montefiore Medical Center, Bronx, New York (D.L.L., M.R.G., D.V.); and AiCure, New York, NY (L.S., A.H.).
  • Laura Shafner
    From the Montefiore Medical Center, Bronx, New York (D.L.L., M.R.G., D.V.); and AiCure, New York, NY (L.S., A.H.). laura.shafner@aicure.com.
  • Morayma Reyes Gil
    From the Montefiore Medical Center, Bronx, New York (D.L.L., M.R.G., D.V.); and AiCure, New York, NY (L.S., A.H.).
  • Deepti Virmani
    From the Montefiore Medical Center, Bronx, New York (D.L.L., M.R.G., D.V.); and AiCure, New York, NY (L.S., A.H.).
  • Adam Hanina
    From the Montefiore Medical Center, Bronx, New York (D.L.L., M.R.G., D.V.); and AiCure, New York, NY (L.S., A.H.).

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