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

IF 2.6 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Cardiovascular digital health journal Pub Date : 2023-06-01 DOI:10.1016/j.cvdhj.2023.04.003

Alexander Schepart PharmD, MBA , Arianna Burton PharmD , Larry Durkin MBA , Allison Fuller BA , Ellyn Charap MSc , Rahul Bhambri PharmD, MBA , Faraz S. Ahmad MD, MS

{"title":"Artificial intelligence–enabled tools in cardiovascular medicine: A survey of current use, perceptions, and challenges","authors":"Alexander Schepart PharmD, MBA , Arianna Burton PharmD , Larry Durkin MBA , Allison Fuller BA , Ellyn Charap MSc , Rahul Bhambri PharmD, MBA , Faraz S. Ahmad MD, MS","doi":"10.1016/j.cvdhj.2023.04.003","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>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.</p></div><div><h3>Objective</h3><p>To evaluate current awareness, perceptions, and clinical use of AI-enabled digital health tools for patients with cardiovascular disease, and challenges to adoption.</p></div><div><h3>Methods</h3><p>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.</p></div><div><h3>Results</h3><p>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.</p></div><div><h3>Conclusion</h3><p>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.</p></div>","PeriodicalId":72527,"journal":{"name":"Cardiovascular digital health journal","volume":"4 3","pages":"Pages 101-110"},"PeriodicalIF":2.6000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10282011/pdf/","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cardiovascular digital health journal","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666693623000282","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}

引用次数: 1

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.

Abstract Image

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

心血管医学中的人工智能工具:当前使用、认知和挑战的调查

背景许多用于心血管疾病的人工智能工具已经发表，对公众健康产生了重大影响。然而，很少有人被纳入或有意义地影响了常规临床护理。目的评估当前心血管疾病患者对人工智能数字健康工具的认识、认知和临床使用情况，以及采用该工具的挑战。方法该混合方法研究包括对12名心脏病专家和8名健康信息技术（IT）管理员的访谈，以及对90名心脏病学家和30名IT管理员的后续调查。结果我们发现了5个主要挑战：（1）知识有限，（2）可用性不足，（3）成本限制，（4）电子健康记录互操作性差，以及（5）缺乏信任。少数心脏病专家使用人工智能工具；更多的人准备实施人工智能工具，但它们的复杂程度差异很大。结论大多数受访者相信人工智能工具在提高护理质量和效率方面的潜力，但他们发现了大规模采用人工智能的几个根本障碍。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊