Using Artificial Intelligence to Measure and Optimize Adherence in Patients on Anticoagulation Therapy.

Completed · Not applicable

Conditions studied: Stroke

In brief

AiCure uses artificial intelligence and visual recognition technology to confirm medication ingestion. The software is available as an app and downloaded onto a smart phone. The single-site, parallel-arm, randomized controlled trial will test the feasibility and impact of using the platform in a stroke population. End points: usability, consistent use of the device, and optimization of treatment.

Key facts

Study ID: NCT02599259
Run by: AiCure
People needed: 28
Starts: 2015-03-01
Expected to finish: 2016-04-01
Last updated by the study team: 2016-07-12

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

Is male or female at least 18 years of age.
Having a diagnosis of ischemic stroke.
Has a score between 1 and 20 on the NIH Stroke Survey (NIHSS) at admission and upon enrollment at discharge from the index admission to the hospital or at first encounter in the outpatient stroke center.
Is taking any one of the monitored drugs- Coumadin®, Pradaxa®, Xarelto® or Eliquis®.
Is going home or to acute outpatient rehabilitation after discharge.
Has sufficient capacity to provide consent or agree to assent.
Has at least minimal mental capacity and motor skills.

You may not qualify if…

Has poor fine motor skills, to preclude him/her from holding a pill steady in front of a camera.
Has impaired visual or auditory faculties.
Is being released to a nursing home, hospice or any other inpatient care facility.
Has stable, therapeutic INRs on warfarin for at least one year.
Has a mechanical mitral valve or left ventricular assist device.

Where it is running

Montefiore Medical Center — New York, New York, United States

Full record on ClinicalTrials.gov

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