Retrieving Information for Urgency Medical Services using Abundant Data Processing Method

Abstract

The Internet of Things (IoT) is the interconnection of uniquely identifiable embedded
computing devices within the existing internet infrastructure. Delivering clinical information of patient
at the point-of-care to physicians is critical to increase the quality of healthcare services, especially in
emergency time. However, clinical data are distributed in different hospitals. It is sometimes difficult
to collect clinical data of patient ubiquitously in case of urgency. In order to support the ubiquitous
content accessing a resource model is first proposed to locate and get clinical data which are stored in
heterogeneous hospital information systems using Hadoop Distributed File System. In the proposed
method clinical data of patient is defined as resource with unique URL address. Related clinical data of
one patient is collected together to form a combinational resource, and could be accessed by physician
if authority is assigned to the physician, by using a mongo dB database technique efficiently in big data
applications for better performance and scalability. This type of database support faster execution of
queries compared to non-relational databases. By implementing the system that combines IoT with Big
Data is built to provide quick and effective for different patients.