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通过FHIR访问苹果手表的心电图数据并实现互操作性。

Accessing the ECG Data of the Apple Watch and Accomplishing Interoperability Through FHIR.

作者信息

Bartschke Alexander, Börner Yannick, Thun Sylvia

机构信息

Charité - Universitätsmedizin Berlin, Germany.

Humboldt University of Berlin, Germany.

出版信息

Stud Health Technol Inform. 2021 May 24;278:245-250. doi: 10.3233/SHTI210076.

DOI:10.3233/SHTI210076
PMID:34042901
Abstract

Medical data generated by wearables and smartphones can add value to health care and medical research. This also applies to the ECG data that is created with Apple Watch 4 or later. However, Apple currently does not provide an efficient solution for accessing and sharing ECG raw data in a standardized data format. Our method aims to provide a solution that enables patients to share their Apple Watch's ECG data with any health care institution via an iPhone application. We achieved this by implementing a parser in Swift that converts the Apple Watch's raw ECG data into a FHIR observation. Furthermore, we added the capability of transmitting these observations to a specified server and equipping it with the patient's reference number. The result is a user-friendly iPhone application, enabling patients to share their Apple Watch's ECG data in a widely known health data standard with minimal effort. This allows the personnel involved in the patient's treatment to use data that was previously difficult to access for further analyses and processing. Our solution can facilitate research for new treatment methods, for example, utilizing the Apple Watch for continuous monitoring of heart activity and early detection of heart conditions.

摘要

可穿戴设备和智能手机生成的医疗数据可为医疗保健和医学研究增添价值。这也适用于使用Apple Watch 4或更高版本创建的心电图(ECG)数据。然而,苹果公司目前并未提供一种高效的解决方案,以便以标准化数据格式访问和共享ECG原始数据。我们的方法旨在提供一种解决方案,使患者能够通过iPhone应用程序与任何医疗机构共享其Apple Watch的ECG数据。我们通过在Swift中实现一个解析器来实现这一目标,该解析器将Apple Watch的原始ECG数据转换为FHIR观察结果。此外,我们增加了将这些观察结果传输到指定服务器并为其配备患者参考编号的功能。结果是一个用户友好的iPhone应用程序,使患者能够轻松地以广为人知的健康数据标准共享其Apple Watch的ECG数据。这使得参与患者治疗的人员能够使用以前难以获取的数据进行进一步分析和处理。我们的解决方案可以促进对新治疗方法的研究,例如,利用Apple Watch持续监测心脏活动并早期发现心脏疾病。

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