A cloud computing based 12-lead ECG telemedicine service

Abstract

BackgroundDue to the great variability of 12-lead ECG instruments and medical specialists’ interpretation skills, it remains a challenge to deliver rapid and accurate 12-lead ECG reports with senior cardiologists’ decision making support in emergency telecardiology.MethodsWe create a new cloud and pervasive computing based 12-lead Electrocardiography (ECG) service to realize ubiquitous 12-lead ECG tele-diagnosis.ResultsThis developed service enables ECG to be transmitted and interpreted via mobile phones. That is, tele-consultation can take place while the patient is on the ambulance, between the onsite clinicians and the off-site senior cardiologists, or among hospitals. Most importantly, this developed service is convenient, efficient, and inexpensive.ConclusionsThis cloud computing based ECG tele-consultation service expands the traditional 12-lead ECG applications onto the collaboration of clinicians at different locations or among hospitals. In short, this service can greatly improve medical service quality and efficiency, especially for patients in rural areas. This service has been evaluated and proved to be useful by cardiologists in Taiwan.

A Study of a Health Resources Management Platform Integrating Neural Networks and DSS Telemedicine for Homecare Assistance

“…In DSS healthcare, data mining could provide an added value for the enrichment of the knowledge base of the healthcare system, diagnosis support, home-based rehabilitation, optimal management of healthcare processes, optimization of the quality of services, correct allocation of material and non-material resources, turnover prediction, and definition of new performance indicators based on artificial intelligence algorithms [5][6][7][8][9][10][11][12][13]. In healthcare systems, an interesting topic is homecare assistance by telemedicine [14][15][16], allowing home assistance through the use of appropriate certified devices connected to the cloud and able to transmit patient measurements from home to an external structure behaving as a control room. In this direction, ANN could predict patient physiological status [17], could be applied for predictive medicine [18], and for the prediction of heart problems [19], suggesting ANN as a good approach to predict patient health status in DSS.…”

Cloud Computing in Healthcare and Biomedicine

“…The recognition that technology can improve patient care while reducing costs has meant that governments are willing to push the traditionally slow healthcare industry to a faster pace of adoption. In [21], the authors pointed out that, based on Azures pricing model, the cost of their cloud-based telemedicine service is based on the use of CPU resources, which is charged by USD $ 0.12 per hour, and the use of database, which is charged by USD $9.99 per GB per month. Dudley and his colleagues [22] demonstrated that cloud computing is a viable and cheaper technology that enables large-scale integration and analysis for studies in genomic medicine.…”

“…It allows anyone to run a private Galaxy installation on the Cloud exactly replicating functionality of the main site 21 , but without the need to share computing resources with other users. With Galaxy Cloud, unlike software service solutions, the users can customize their deployment as well as retain complete control over their instances and associated data; the analysis can also be moved to other cloud providers or local resources, avoiding concerns about dependence on a single vendor.…”

“…In [21], Hsieh et al describe the implementation of a cloud computing based telemedicine application, which can upload 12-lead ECG reading to a cloud service from which they can be visualized on a variety of network connected devices, both mobile and fixed. This cloud application supports a variety of clinically used 12-lead ECG devices, such as Philips XML-ECG, HP compatible SCP-ECG, and Mortara DICOM-ECG by first transcoding the data from a vendor-specific format to an XML format in a public cloud computing platform, Microsoft Azure.…”

Primena i bezbednosni rizici Cloud rešenja u eZdravlju

“…Italijanska pedijatrijska bolnica Bambino Gesu, uvela je rešenje u oblaku 2011. i u eksploataciji je zapaženo unapređenje saradnje između medicinskog osoblja, bolja komunikacija sa pacijentima i više vremena za IT osoblje [14]. Zatim, predstavljen je i telemedicinski servis namenjen dijagnostici na osnovu rezultata sa EKG [15], koji omogućava prenos trenutnog snimljenog EKG pacijenta iz ambulantnih kola u informacioni sistem bolnice, a analizu snimka može da uradi i lekar sa bilo koje lokacije i vam radnog vremena. Servis mogu koristiti i zdravstvene stanice u ruralnim delovima zemlje.…”