DACAR platform for eHealth services cloud

L. Fan; W. Buchanan; C. Thümmler; O. Lo; A. Khedim; O. Uthmani; A. Lawson; D. Bell

doi:10.1109/CLOUD.2011.31

DACAR platform for eHealth services cloud

L. Fan^*, W. Buchanan, C. Thümmler, O. Lo, A. Khedim, O. Uthmani, A. Lawson, D. Bell

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

69 Citations (Scopus)

Abstract

The use of digital technologies in providing health care services is collectively known as eHealth. Considerable progress has been made in the development of eHealth services, but concerns over service integration, large scale deployment, and security, integrity and confidentiality of sensitive medical data still need to be addressed. This paper presents a solution proposed by the Data Capture and Auto Identification Reference (DACAR) project to overcoming these challenges. The key contributions of this paper include a Single Point of Contact (SPoC), a novel rule based information sharing policy syntax, and Data Buckets hosted by a scalable and cost-effective Cloud infrastructure. These key components and other system services constitute DACAR's eHealth platform, which allows the secure capture, storage and consumption of sensitive health care data. Currently, a prototype of the DACAR platform has been implemented. To assess the viability and performance of the platform, a demonstration application, namely the Early Warning Score (EWS), has been developed and deployed within a private Cloud infrastructure at Edinburgh Napier University. Simulated experimental results show that the end-to-end communication latency of 97.8% of application messages were below 100ms. Hence, the DACAR platform is efficient enough to support the development and integration of time critical eHealth services. A more comprehensive evaluation of the DACAR platform in a real life clinical environment is under development at Chelsea & Westminster Hospital in London.

Original language	English
Title of host publication	Proceedings of 2011 IEEE 4th International Conference on Cloud Computing (CLOUD 2011)
Editors	Ling Lui, Manish Parashar
Publisher	IEEE
Pages	219-226
Number of pages	8
ISBN (Print)	9780769544601
DOIs	https://doi.org/10.1109/CLOUD.2011.31
Publication status	Published - Jul 2011
Externally published	Yes
Event	2011 IEEE 4th International Conference on Cloud Computing, CLOUD 2011 - Washington, DC, United States Duration: 4 Jul 2011 → 9 Jul 2011

Conference

Conference	2011 IEEE 4th International Conference on Cloud Computing, CLOUD 2011
Country/Territory	United States
City	Washington, DC
Period	4/07/11 → 9/07/11

Keywords

Cloud
Confidentiality
Data buckets
EHealth
Information sharing policy syntax
Platform as a service
Security
Single Point of Contact

ASJC Scopus subject areas

Computational Theory and Mathematics
Applied Mathematics

Documents and Links

10.1109/CLOUD.2011.31

Cite this

@inproceedings{83b5e9cb47cd4ca48b5d663d3e85c818,

title = "DACAR platform for eHealth services cloud",

abstract = "The use of digital technologies in providing health care services is collectively known as eHealth. Considerable progress has been made in the development of eHealth services, but concerns over service integration, large scale deployment, and security, integrity and confidentiality of sensitive medical data still need to be addressed. This paper presents a solution proposed by the Data Capture and Auto Identification Reference (DACAR) project to overcoming these challenges. The key contributions of this paper include a Single Point of Contact (SPoC), a novel rule based information sharing policy syntax, and Data Buckets hosted by a scalable and cost-effective Cloud infrastructure. These key components and other system services constitute DACAR's eHealth platform, which allows the secure capture, storage and consumption of sensitive health care data. Currently, a prototype of the DACAR platform has been implemented. To assess the viability and performance of the platform, a demonstration application, namely the Early Warning Score (EWS), has been developed and deployed within a private Cloud infrastructure at Edinburgh Napier University. Simulated experimental results show that the end-to-end communication latency of 97.8\% of application messages were below 100ms. Hence, the DACAR platform is efficient enough to support the development and integration of time critical eHealth services. A more comprehensive evaluation of the DACAR platform in a real life clinical environment is under development at Chelsea \& Westminster Hospital in London.",

keywords = "Cloud, Confidentiality, Data buckets, EHealth, Information sharing policy syntax, Platform as a service, Security, Single Point of Contact",

author = "L. Fan and W. Buchanan and C. Th{\"u}mmler and O. Lo and A. Khedim and O. Uthmani and A. Lawson and D. Bell",

year = "2011",

month = jul,

doi = "10.1109/CLOUD.2011.31",

language = "English",

isbn = "9780769544601",

pages = "219--226",

editor = "Ling Lui and Manish Parashar",

booktitle = "Proceedings of 2011 IEEE 4th International Conference on Cloud Computing (CLOUD 2011)",

publisher = "IEEE",

address = "United States",

note = "2011 IEEE 4th International Conference on Cloud Computing, CLOUD 2011 ; Conference date: 04-07-2011 Through 09-07-2011",

}

Fan, L, Buchanan, W, Thümmler, C, Lo, O, Khedim, A, Uthmani, O, Lawson, A & Bell, D 2011, DACAR platform for eHealth services cloud. in L Lui & M Parashar (eds), Proceedings of 2011 IEEE 4th International Conference on Cloud Computing (CLOUD 2011)., 6008713, IEEE, pp. 219-226, 2011 IEEE 4th International Conference on Cloud Computing, CLOUD 2011, Washington, DC, United States, 4/07/11. https://doi.org/10.1109/CLOUD.2011.31

TY - GEN

T1 - DACAR platform for eHealth services cloud

AU - Fan, L.

AU - Buchanan, W.

AU - Thümmler, C.

AU - Lo, O.

AU - Khedim, A.

AU - Uthmani, O.

AU - Lawson, A.

AU - Bell, D.

PY - 2011/7

Y1 - 2011/7

N2 - The use of digital technologies in providing health care services is collectively known as eHealth. Considerable progress has been made in the development of eHealth services, but concerns over service integration, large scale deployment, and security, integrity and confidentiality of sensitive medical data still need to be addressed. This paper presents a solution proposed by the Data Capture and Auto Identification Reference (DACAR) project to overcoming these challenges. The key contributions of this paper include a Single Point of Contact (SPoC), a novel rule based information sharing policy syntax, and Data Buckets hosted by a scalable and cost-effective Cloud infrastructure. These key components and other system services constitute DACAR's eHealth platform, which allows the secure capture, storage and consumption of sensitive health care data. Currently, a prototype of the DACAR platform has been implemented. To assess the viability and performance of the platform, a demonstration application, namely the Early Warning Score (EWS), has been developed and deployed within a private Cloud infrastructure at Edinburgh Napier University. Simulated experimental results show that the end-to-end communication latency of 97.8% of application messages were below 100ms. Hence, the DACAR platform is efficient enough to support the development and integration of time critical eHealth services. A more comprehensive evaluation of the DACAR platform in a real life clinical environment is under development at Chelsea & Westminster Hospital in London.

AB - The use of digital technologies in providing health care services is collectively known as eHealth. Considerable progress has been made in the development of eHealth services, but concerns over service integration, large scale deployment, and security, integrity and confidentiality of sensitive medical data still need to be addressed. This paper presents a solution proposed by the Data Capture and Auto Identification Reference (DACAR) project to overcoming these challenges. The key contributions of this paper include a Single Point of Contact (SPoC), a novel rule based information sharing policy syntax, and Data Buckets hosted by a scalable and cost-effective Cloud infrastructure. These key components and other system services constitute DACAR's eHealth platform, which allows the secure capture, storage and consumption of sensitive health care data. Currently, a prototype of the DACAR platform has been implemented. To assess the viability and performance of the platform, a demonstration application, namely the Early Warning Score (EWS), has been developed and deployed within a private Cloud infrastructure at Edinburgh Napier University. Simulated experimental results show that the end-to-end communication latency of 97.8% of application messages were below 100ms. Hence, the DACAR platform is efficient enough to support the development and integration of time critical eHealth services. A more comprehensive evaluation of the DACAR platform in a real life clinical environment is under development at Chelsea & Westminster Hospital in London.

KW - Cloud

KW - Confidentiality

KW - Data buckets

KW - EHealth

KW - Information sharing policy syntax

KW - Platform as a service

KW - Security

KW - Single Point of Contact

U2 - 10.1109/CLOUD.2011.31

DO - 10.1109/CLOUD.2011.31

M3 - Conference contribution

AN - SCOPUS:80053166091

SN - 9780769544601

SP - 219

EP - 226

BT - Proceedings of 2011 IEEE 4th International Conference on Cloud Computing (CLOUD 2011)

A2 - Lui, Ling

A2 - Parashar, Manish

PB - IEEE

T2 - 2011 IEEE 4th International Conference on Cloud Computing, CLOUD 2011

Y2 - 4 July 2011 through 9 July 2011

ER -

DACAR platform for eHealth services cloud

Abstract

Conference

Keywords

ASJC Scopus subject areas

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Cite this