Unknown

Dataset Information

0

Artificial intelligence-enabled tools in cardiovascular medicine: A survey of current use, perceptions, and challenges.


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

altmetric image

Publications

Artificial intelligence-enabled tools in cardiovascular medicine: A survey of current use, perceptions, and challenges.

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]

Similar Datasets

| S-EPMC9636531 | biostudies-literature
| S-EPMC10455092 | biostudies-literature
| S-EPMC6697547 | biostudies-literature
| S-EPMC10802884 | biostudies-literature
| S-EPMC12307732 | biostudies-literature
| S-EPMC7768160 | biostudies-literature
| S-EPMC10766001 | biostudies-literature
| S-EPMC11027289 | biostudies-literature
| S-EPMC9208816 | biostudies-literature
| S-EPMC7861214 | biostudies-literature