Consumer-facing and professional medical devices in cardiology: monitoring and evaluation of big data and the implications for the practice of cardiology.

Sri Nuvvula, Amgad N Makaryus
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Abstract

Introduction: With the ever-expanding increase in the availability of electronic devices that can monitor everything from a patient's daily step count to more detailed devices that can measure or estimate pulmonary artery pressures in patients with heart failure, the amount of data measured by these devices produces mountains of information.

Areas covered: Our review will examine the various options and developments of both consumer-facing and professional medical devices. We discuss provider-facing cardiac devices including pacemakers, implantable cardioverter-defibrillators, Holter monitors, implantable loop recorders, left ventricular assist devices, patch monitors, and pulmonary artery pressure sensors, as well as consumer-facing cardiac medical devices including the Apple Watch and the Fitbit wearable device. We searched through the available studies on the PubMed, Cochrane Library, and Embase databases for information on these devices. The role of artificial intelligence in the analysis and interpretation of data currently and in the future is also discussed.

Expert opinion: We expect future consumer-facing cardiac medical devices to focus on ventricular arrhythmias especially given their clinical impact. We also expect clinical data and patient-specific information to play a larger role as artificial intelligence advances, and it becomes more capable of drawing conclusions using multiple variables from a single patient.

心脏病学中面向消费者和专业的医疗设备:大数据的监测和评估及其对心脏病学实践的影响。
导言:随着电子设备的可用性不断扩大,这些设备可以监测从患者每日步数到更详细的设备,可以测量或估计心力衰竭患者的肺动脉压,这些设备测量的数据量产生了大量的信息。涵盖范围:我们的检讨将研究面向消费者和专业医疗设备的各种选择和发展。我们讨论了面向提供者的心脏设备,包括起搏器、植入式心律转复除颤器、霍尔特监测器、植入式循环记录仪、左心室辅助设备、Zio贴片和CardioMEMS,以及面向消费者的心脏医疗设备,包括Apple Watch和Fitbit可穿戴设备。我们在PubMed、Cochrane Library和Embase数据库中搜索了有关这些设备的信息。本文还讨论了人工智能在当前和未来数据分析和解释中的作用。专家意见:我们预计未来面向消费者的心脏医疗设备将专注于室性心律失常,特别是考虑到它们的临床影响。随着人工智能的进步,我们也希望临床数据和患者特定信息发挥更大的作用,并且它更有能力利用单个患者的多个变量得出结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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