Ontology highlight
ABSTRACT: Background
Numerous artificial intelligence (AI)-enabled tools for cardiovascular diseases have been published, with a high impact on public health. However, few have been adopted into, or have meaningfully affected, routine clinical care.Objective
To evaluate current awareness, perceptions, and clinical use of AI-enabled digital health tools for patients with cardiovascular disease, and challenges to adoption.Methods
This mixed-methods study included interviews with 12 cardiologists and 8 health information technology (IT) administrators, and a follow-on survey of 90 cardiologists and 30 IT administrators.Results
We identified 5 major challenges: (1) limited knowledge, (2) insufficient usability, (3) cost constraints, (4) poor electronic health record interoperability, and (5) lack of trust. A minority of cardiologists were using AI tools; more were prepared to implement AI tools, but their sophistication level varied greatly.Conclusion
Most respondents believe in the potential of AI-enabled tools to improve care quality and efficiency, but they identified several fundamental barriers to wide-scale adoption.
SUBMITTER: Schepart A
PROVIDER: S-EPMC10282011 | biostudies-literature | 2023 Jun
REPOSITORIES: biostudies-literature

Schepart Alexander A Burton Arianna A Durkin Larry L Fuller Allison A Charap Ellyn E Bhambri Rahul R Ahmad Faraz S FS
Cardiovascular digital health journal 20230503 3
<h4>Background</h4>Numerous artificial intelligence (AI)-enabled tools for cardiovascular diseases have been published, with a high impact on public health. However, few have been adopted into, or have meaningfully affected, routine clinical care.<h4>Objective</h4>To evaluate current awareness, perceptions, and clinical use of AI-enabled digital health tools for patients with cardiovascular disease, and challenges to adoption.<h4>Methods</h4>This mixed-methods study included interviews with 12 c ...[more]