Characterizing the Accuracy of <i>International Classification of Diseases, Tenth Revision</i> Administrative Claims for Aortic Valve Disease.
Jordan B StromJiaman XuTianyu SunYang SongJonathan Sevilla-CazesZaid I AlmarzooqLawrence J MarksonRishi K WadheraRobert W YehPublished in: Circulation. Cardiovascular quality and outcomes (2022)
Among US Medicare beneficiaries receiving a TTE, <i>International Classification of Diseases, Tenth Revision</i> claims, though identifying a population at significant greater risk of valve-related outcomes, failed to identify nearly half of individuals with AS and were unable to distinguish disease severity or subtype. These results argue against the widespread use of <i>International Classification of Diseases, Tenth Revision</i> claims to screen for patients with AS and suggests the need for improved coding algorithms and alternative systems to extract TTE data for quality improvement and hospital benchmarking.
Keyphrases
- aortic valve
- machine learning
- deep learning
- total knee arthroplasty
- health insurance
- transcatheter aortic valve replacement
- total hip arthroplasty
- aortic stenosis
- aortic valve replacement
- transcatheter aortic valve implantation
- quality improvement
- big data
- healthcare
- artificial intelligence
- affordable care act
- emergency department
- electronic health record
- heart failure
- mitral valve
- adipose tissue
- type diabetes
- drug induced
- insulin resistance
- coronary artery disease
- anti inflammatory
- glycemic control