Abstract
An era of open information in the healthcare is now underway. This
information can be considered as „Big data‟, not only for its sheer volume but
also for its complexity, diversity, and timeliness of data for any large eHealth
System such as Personally Controlled Electronic Health Record (PCEHR). The
system enables different person or organization to access, share, and manage
their health data. Other challenges incorporated with the PCEHR data can be
very excessive to capture, store, process and retrieve the insight knowledge in
real time. Various PCEHR frameworks have been proposed in recent literature.
However, big data challenges have not been considered in these frameworks.
In this paper, we argue the PCEHR data should be considered as big data and
the challenges of big data should be addressed when to design the framework of
the PCEHR system. In doing so, we propose a PCEHR framework, which deals
with real time big data challenges using the state-of-the-art technologies such as
Apache Kafka and Apache Storm. At the same time the proposed framework
ensures secure data communication using cryptographic techniques. Using a
qualitative analysis, we show that the proposed framework addresses the big
data challenges
information can be considered as „Big data‟, not only for its sheer volume but
also for its complexity, diversity, and timeliness of data for any large eHealth
System such as Personally Controlled Electronic Health Record (PCEHR). The
system enables different person or organization to access, share, and manage
their health data. Other challenges incorporated with the PCEHR data can be
very excessive to capture, store, process and retrieve the insight knowledge in
real time. Various PCEHR frameworks have been proposed in recent literature.
However, big data challenges have not been considered in these frameworks.
In this paper, we argue the PCEHR data should be considered as big data and
the challenges of big data should be addressed when to design the framework of
the PCEHR system. In doing so, we propose a PCEHR framework, which deals
with real time big data challenges using the state-of-the-art technologies such as
Apache Kafka and Apache Storm. At the same time the proposed framework
ensures secure data communication using cryptographic techniques. Using a
qualitative analysis, we show that the proposed framework addresses the big
data challenges
| Original language | English |
|---|---|
| Title of host publication | International Conference on Security and Privacy in Communication Networks |
| Subtitle of host publication | 10th International ICST Conference, SecureComm 2014, Beijing, China, September 24-26, 2014 |
| Place of Publication | Belgium |
| Publisher | Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (ICST) |
| Pages | 141-156 |
| Number of pages | 16 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | International Conference on Security and Privacy in Communication Networks - Beijing, China, China Duration: 24 Sept 2014 → 26 Sept 2014 https://securecomm.eai-conferences.org/2014/index.html |
Workshop
| Workshop | International Conference on Security and Privacy in Communication Networks |
|---|---|
| Country/Territory | China |
| Period | 24/09/14 → 26/09/14 |
| Internet address |