Software Architecture and Support for Patient Tracking Systems in Critical Scenarios
In this work a new platform for mobile-health systems is
presented. System target application is providing decision support to
rescue corps or military medical personnel in combat areas. Software
architecture relies on a distributed client-server system that manages a
wireless ad-hoc networks hierarchy in which several different types of
client operate. Each client is characterized for different hardware and
software requirements. Lower hierarchy levels rely in a network of
completely custom devices that store clinical information and patient
status and are designed to form an ad-hoc network operating in the
2.4 GHz ISM band and complying with the IEEE 802.15.4 standard
(ZigBee). Medical personnel may interact with such devices, that are
called MICs (Medical Information Carriers), by means of a PDA
(Personal Digital Assistant) or a MDA (Medical Digital Assistant),
and transmit the information stored in their local databases as well as
issue a service request to the upper hierarchy levels by using IEEE
802.11 a/b/g standard (WiFi). The server acts as a repository that
stores both medical evacuation forms and associated events (e.g., a
teleconsulting request). All the actors participating in the diagnostic
or evacuation process may access asynchronously to such repository
and update its content or generate new events. The designed system
pretends to optimise and improve information spreading and flow
among all the system components with the aim of improving both
diagnostic quality and evacuation process.
[1] NATO STANAG, AJP 4.10(a): Allied Joint Medical Doctrine, NATO,
2006.
[2] NATO STANAG, AJP 4.10.1: Medical Planning, NATO, 2006.
[3] NATO STANAG, AJP 4.10.2: Medical Evacuation, NATO, 2006.
[4] Google Inc., Android. An Open Handset Alliance Project, available at
http://code.google.com/android, 2008.
[5] Cornetta, G., Santos, D. J., and Godara, B., A Sub-mW Low Noise
Amplifier for Wireless Sensor Networks, Proceedings of the World
Academy of Science Engineering and Technology, 34(10), pp. 835-838,
2008.
[6] Cornetta, G., and Santos, D. J., Low-power Multistage Low Noise Amplifiers
for Wireless Sensor Networks, International Journal of Electronics,
96(1), pp. 63-77, 2009.
[7] MySQL AB, MySQL. Open Source Database, available at
http://www.mysql.com, 2008.
[8] Jones, R., Roundup Issue Tracker, Project Hompage, available at
http://roundup.sourceforge.net, 2008.
[9] Hipp, Wyrick & Company Inc., SQLite, Project Hompage, available at
http://www.sqlite.org, 2008.
[10] Prabaharan, K., Lavanya, J., Goh, K.W., Kim, Y., and Soh, C.B.,
"Distributed Architecture Toward Telediagnosis", in Proceedings of
1st Transdisciplinary Conference on Distributed Diagnosis and Home
Healthcare, pp. 105-108, 2006.
[11] Qt Software ASA. Qt for Open Source C++ development on Embedded
Linux, available at http://trolltech.com, 2008.
[12] Xapian, Xapian, Open Source Search Engine Library. Project Homepage,
available at http://www.xapian.org, 2008.
[13] Yee, K.-P., Roundup. An Issue-Tracking System for
Knowledge Workers, retrieved November 21st, 2008, from
http://zesty.ca/sc-roundup.html, 2000.
[14] White, C.C., Fang, D., Eung-Hun K., Loeber, W., and Yongmin, K.,
"Improving Healthcare quality through Distributed Diagnosis and Home
Healthcare", in Proceedings of 1st Transdisciplinary Conference on
Distributed Diagnosis and Home Healthcare, pp. 168-172, 2006.
[15] Bulusu, N., and Jha, S. (Eds.), Wireless Sensor Networks: A System
Perspective, Norwood, MA: Artech House, 2005.
[16] Zhao, F., and Guibas, L., Wireless Sensor Networks. An Information
Processing Approach, San Francisco, CA: Morgan Kauffman, 2004.
[1] NATO STANAG, AJP 4.10(a): Allied Joint Medical Doctrine, NATO,
2006.
[2] NATO STANAG, AJP 4.10.1: Medical Planning, NATO, 2006.
[3] NATO STANAG, AJP 4.10.2: Medical Evacuation, NATO, 2006.
[4] Google Inc., Android. An Open Handset Alliance Project, available at
http://code.google.com/android, 2008.
[5] Cornetta, G., Santos, D. J., and Godara, B., A Sub-mW Low Noise
Amplifier for Wireless Sensor Networks, Proceedings of the World
Academy of Science Engineering and Technology, 34(10), pp. 835-838,
2008.
[6] Cornetta, G., and Santos, D. J., Low-power Multistage Low Noise Amplifiers
for Wireless Sensor Networks, International Journal of Electronics,
96(1), pp. 63-77, 2009.
[7] MySQL AB, MySQL. Open Source Database, available at
http://www.mysql.com, 2008.
[8] Jones, R., Roundup Issue Tracker, Project Hompage, available at
http://roundup.sourceforge.net, 2008.
[9] Hipp, Wyrick & Company Inc., SQLite, Project Hompage, available at
http://www.sqlite.org, 2008.
[10] Prabaharan, K., Lavanya, J., Goh, K.W., Kim, Y., and Soh, C.B.,
"Distributed Architecture Toward Telediagnosis", in Proceedings of
1st Transdisciplinary Conference on Distributed Diagnosis and Home
Healthcare, pp. 105-108, 2006.
[11] Qt Software ASA. Qt for Open Source C++ development on Embedded
Linux, available at http://trolltech.com, 2008.
[12] Xapian, Xapian, Open Source Search Engine Library. Project Homepage,
available at http://www.xapian.org, 2008.
[13] Yee, K.-P., Roundup. An Issue-Tracking System for
Knowledge Workers, retrieved November 21st, 2008, from
http://zesty.ca/sc-roundup.html, 2000.
[14] White, C.C., Fang, D., Eung-Hun K., Loeber, W., and Yongmin, K.,
"Improving Healthcare quality through Distributed Diagnosis and Home
Healthcare", in Proceedings of 1st Transdisciplinary Conference on
Distributed Diagnosis and Home Healthcare, pp. 168-172, 2006.
[15] Bulusu, N., and Jha, S. (Eds.), Wireless Sensor Networks: A System
Perspective, Norwood, MA: Artech House, 2005.
[16] Zhao, F., and Guibas, L., Wireless Sensor Networks. An Information
Processing Approach, San Francisco, CA: Morgan Kauffman, 2004.
@article{"International Journal of Information, Control and Computer Sciences:55028", author = "Gianluca Cornetta and Abdellah Touhafi and David J. Santos and Jose Manuel Vazquez", title = "Software Architecture and Support for Patient Tracking Systems in Critical Scenarios", abstract = "In this work a new platform for mobile-health systems is
presented. System target application is providing decision support to
rescue corps or military medical personnel in combat areas. Software
architecture relies on a distributed client-server system that manages a
wireless ad-hoc networks hierarchy in which several different types of
client operate. Each client is characterized for different hardware and
software requirements. Lower hierarchy levels rely in a network of
completely custom devices that store clinical information and patient
status and are designed to form an ad-hoc network operating in the
2.4 GHz ISM band and complying with the IEEE 802.15.4 standard
(ZigBee). Medical personnel may interact with such devices, that are
called MICs (Medical Information Carriers), by means of a PDA
(Personal Digital Assistant) or a MDA (Medical Digital Assistant),
and transmit the information stored in their local databases as well as
issue a service request to the upper hierarchy levels by using IEEE
802.11 a/b/g standard (WiFi). The server acts as a repository that
stores both medical evacuation forms and associated events (e.g., a
teleconsulting request). All the actors participating in the diagnostic
or evacuation process may access asynchronously to such repository
and update its content or generate new events. The designed system
pretends to optimise and improve information spreading and flow
among all the system components with the aim of improving both
diagnostic quality and evacuation process.", keywords = "IEEE 802.15.4 (ZigBee), IEEE 802.11 a/b/g (WiFi),
distributed client-server systems, embedded databases, issue trackers,
ad-hoc networks.", volume = "3", number = "3", pages = "663-8", }