Bhatia Munish, Sood Sandeep K
Department of Computer Science and Engineering, Guru Nanak Dev University, Regional Campus, Gurdaspur, Punjab, India.
J Med Syst. 2016 Aug;40(8):190. doi: 10.1007/s10916-016-0547-9. Epub 2016 Jul 7.
The rapid introduction of Internet of Things (IoT) Technology has boosted the service deliverance aspects of health sector in terms of m-health, and remote patient monitoring. IoT Technology is not only capable of sensing the acute details of sensitive events from wider perspectives, but it also provides a means to deliver services in time sensitive and efficient manner. Henceforth, IoT Technology has been efficiently adopted in different fields of the healthcare domain. In this paper, a framework for IoT based patient monitoring in Intensive Care Unit (ICU) is presented to enhance the deliverance of curative services. Though ICUs remained a center of attraction for high quality care among researchers, still number of studies have depicted the vulnerability to a patient's life during ICU stay. The work presented in this study addresses such concerns in terms of efficient monitoring of various events (and anomalies) with temporal associations, followed by time sensitive alert generation procedure. In order to validate the system, it was deployed in 3 ICU room facilities for 30 days in which nearly 81 patients were monitored during their ICU stay. The results obtained after implementation depicts that IoT equipped ICUs are more efficient in monitoring sensitive events as compared to manual monitoring and traditional Tele-ICU monitoring. Moreover, the adopted methodology for alert generation with information presentation further enhances the utility of the system.
物联网(IoT)技术的迅速引入,在移动医疗和远程患者监测方面推动了医疗部门的服务提供。物联网技术不仅能够从更广泛的角度感知敏感事件的详细情况,还提供了一种以对时间敏感且高效的方式提供服务的手段。此后,物联网技术已在医疗领域的不同领域得到有效应用。本文提出了一种基于物联网的重症监护病房(ICU)患者监测框架,以提高治疗服务的提供水平。尽管重症监护病房在研究人员中一直是高质量护理的关注焦点,但仍有多项研究表明,患者在重症监护病房住院期间生命存在脆弱性。本研究提出的工作从对各种事件(和异常情况)进行具有时间关联的高效监测以及随后的对时间敏感的警报生成程序方面解决了此类问题。为了验证该系统,它在3个重症监护病房设施中部署了为期30天,期间对近81名患者在重症监护病房住院期间进行了监测。实施后获得的结果表明,与人工监测和传统远程重症监护病房监测相比,配备物联网的重症监护病房在监测敏感事件方面效率更高。此外,所采用的带有信息呈现的警报生成方法进一步提高了该系统的实用性。