Novel Method of Atrial Fibrillation Case Identification and Burden Estimation Using the MIMIC-III Electronic Health Data Set.
Eric Y DingDaniella AlbuquerqueMichael WinterSophia BiniciJaclyn PicheSyed Khairul BasharKi ChonAllan J WalkeyDavid D McManusPublished in: Journal of intensive care medicine (2019)
Nurse documentation of AF in EHR is accurate and has high precision for determining AF onset to within 1 hour. Our study suggests that nurse-charted AF in the EHR represents a potentially novel method for AF case identification, timing, and burden estimation.
Keyphrases
- atrial fibrillation
- electronic health record
- oral anticoagulants
- left atrial
- catheter ablation
- left atrial appendage
- direct oral anticoagulants
- primary care
- heart failure
- public health
- percutaneous coronary intervention
- blood pressure
- bioinformatics analysis
- risk factors
- high resolution
- big data
- health information
- risk assessment