Improving Quality of Care - Managing Atrial Fibrillation Through Care Teams and Health Information Technology (IQ-MATCH)
Atrial Fibrillation
About this trial
This is an interventional other trial for Atrial Fibrillation focused on measuring anticoagulants, NOACs, warfarin, randomized designed delay, intervention, machine learning algorithm, primary care
Eligibility Criteria
Inclusion Criteria:
- Non-valvular atrial fibrillation as identified by machine learning algorithms
- Primary care provider within Brigham and Women's Hospital
- No evidence of a prescription for an anticoagulant in medical record for at least 1 year
Exclusion Criteria:
-
Sites / Locations
Arms of the Study
Arm 1
Arm 2
Experimental
No Intervention
Intervention
Usual Care
Primary care providers in the intervention arm will receive lists of their patients with AF who are identified as being at high risk of stroke but not currently on anticoagulation therapy. Along with this list, which includes information on risks and benefits of anticoagulation, primary care providers will receive an offer of assistance from a respected Anticoagulation Management Service within the hospital network to help manage anticoagulation for referred patients.
Primary care providers will provide usual care.