A Cloud Computing Solution for Patient's Data Collection in Health Care Institutions

被引：170

作者：

Rolim, Carlos Oberdan ^{[1
]}

Koch, Fernando Luiz ^{[1
]}

Westphall, Carlos Becker ^{[1
]}

Werner, Jorge ^{[1
]}

Fracalossi, Armando ^{[1
]}

Salvador, Giovanni Schmitt ^{[1
]}

机构：

[1] Univ Fed Santa Catarina, Network & Management Lab LRG, Florianopolis, SC, Brazil

来源：

SECOND INTERNATIONAL CONFERENCE ON EHEALTH, TELEMEDICINE, AND SOCIAL MEDICINE: ETELEMED 2010, PROCEEDINGS | 2010年

关键词：

utility computing; sensor networks; telemedicine; cloud computing; NETWORKS;

D O I：

10.1109/eTELEMED.2010.19

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Existing processes for patients' vital data collection require a great deal of labor work to collect, input and analyze the information. These processes are usually slow and errorprone, introducing a latency that prevents real-time data accessibility. This scenario restrains the clinical diagnostics and monitoring capabilities. We propose a solution to automate this process by using "sensors" attached to existing medical equipments that are inter-connected to exchange service. The proposal is based on the concepts of utility computing and wireless sensor networks. The information becomes available in the "cloud" from where it can be processed by expert systems and/or distributed to medical staff. The proof-of-concept design applies commodity computing integrated to legacy medical devices, ensuring cost-effectiveness and simple integration.

引用

页码：95 / 99

页数：5

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