HL7 Argentina, Buenos Aires, Argentina.
BIOCOM Argentina, Buenos Aires, Argentina.
Stud Health Technol Inform. 2024 Aug 22;316:414-415. doi: 10.3233/SHTI240435.
Telemedicine is used to assist and support remote medical care for patients. Our objective was to build up a REST Webservices alert engine that receives clinical parameters from patients of vital signs and basic laboratories to monitor patients remotely. We built a REST API using FHIR, so it can interoperate with other applications, send data to be processed, and receive a response. If the API detects a health risk situation, it sends an alert about the medical parameters that are controlled. The results of the processed data, news and alert, can return synchronously or asynchronously, at the same time that the data to be processed is being sent. The alerts generated can be automatically sent to a web service, mail or WhatsApp of the physician. The alert message comes out as normal, low, medium and high risk. The presented approach establishes communication that enables timely health information exchange. We conducted an experiment (with fictitious data) where we sent several queries by Postman. Finally, we evaluated the communication to be successful by manual checking. The use of the API significantly improves the monitoring of chronic patients. Many works show the effectiveness of telemedicine to improve the control of certain chronic diseases. In addition, telemedicine interventions were also found to significantly improve other health outcomes. Our API enables us to transfer data and produce alerts successfully. This gives us hope that a future with ubiquitous healthcare information interoperability is possible using our system.
远程医疗用于协助和支持患者的远程医疗。我们的目标是建立一个 REST Webservices 警报引擎,该引擎从生命体征和基本实验室的患者那里接收临床参数,以远程监测患者。我们使用 FHIR 构建了一个 REST API,因此它可以与其他应用程序进行互操作,发送要处理的数据,并接收响应。如果 API 检测到健康风险情况,它会发送有关受控制的医疗参数的警报。处理后的数据、新闻和警报的结果可以同步或异步返回,同时发送要处理的数据。生成的警报可以自动发送到医生的 Web 服务、邮件或 WhatsApp。警报消息显示为正常、低、中、高风险。所提出的方法建立了通信,实现了及时的健康信息交换。我们进行了一项实验(使用虚构数据),通过 Postman 发送了多个查询。最后,我们通过手动检查评估了通信的成功。API 的使用显著改善了慢性病患者的监测。许多研究表明,远程医疗在改善某些慢性病的控制方面是有效的。此外,还发现远程医疗干预措施显著改善了其他健康结果。我们的 API 使我们能够成功传输数据和生成警报。这让我们有希望通过我们的系统实现无处不在的医疗保健信息互操作性的未来。