Gouda Pishoy, Ganni Elie, Chung Peter, Randhawa Varinder Kaur, Marquis-Gravel Guillaume, Avram Robert, Ezekowitz Justin A, Sharma Abhinav
Division of Cardiology, University of Alberta, Edmonton, Alberta Canada.
DREAM-CV Lab, McGill University Health Centre, McGill University, Montreal, Quebec, Canada.
Curr Cardiovasc Risk Rep. 2021;15(8):13. doi: 10.1007/s12170-021-00673-9. Epub 2021 Jun 20.
With the rising cost of cardiovascular clinical trials, there is interest in determining whether new technologies can increase cost effectiveness. This review focuses on current and potential uses of voice-based technologies, including virtual assistants, in cardiovascular clinical trials.
Numerous potential uses for voice-based technologies have begun to emerge within cardiovascular medicine. Voice biomarkers, subtle changes in speech parameters, have emerged as a potential tool to diagnose and monitor many cardiovascular conditions, including heart failure, coronary artery disease, and pulmonary hypertension. With the increasing use of virtual assistants, numerous pilot studies have examined whether these devices can supplement initiatives to promote transitional care, physical activity, smoking cessation, and medication adherence with promising initial results. Additionally, these devices have demonstrated the ability to streamline data collection by administering questionnaires accurately and reliably. With the use of these technologies, there are several challenges that must be addressed before wider implementation including respecting patient privacy, maintaining regulatory standards, acceptance by patients and healthcare providers, determining the validity of voice-based biomarkers and endpoints, and increased accessibility.
Voice technology represents a novel and promising tool for cardiovascular clinical trials; however, research is still required to understand how it can be best harnessed.
随着心血管临床试验成本的不断上升,人们对确定新技术能否提高成本效益产生了兴趣。本综述重点关注基于语音的技术,包括虚拟助手,在心血管临床试验中的当前和潜在用途。
基于语音的技术在心血管医学领域已开始出现众多潜在用途。语音生物标志物,即语音参数的细微变化,已成为诊断和监测多种心血管疾病(包括心力衰竭、冠状动脉疾病和肺动脉高压)的潜在工具。随着虚拟助手的使用日益增加,众多试点研究探讨了这些设备是否能够辅助促进过渡性护理、身体活动、戒烟和药物依从性的举措,并取得了初步的积极成果。此外,这些设备已证明能够通过准确可靠地发放问卷来简化数据收集。使用这些技术时,在更广泛应用之前必须解决几个挑战,包括尊重患者隐私、维持监管标准、获得患者和医疗服务提供者的认可、确定基于语音的生物标志物和终点的有效性以及提高可及性。
语音技术是心血管临床试验中一种新颖且有前景的工具;然而,仍需开展研究以了解如何能最佳地利用它。