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ELMR: lightweight mobile health records
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International Conference on Management of Data archive
Proceedings of the 35th SIGMOD international conference on Management of data table of contents
Providence, Rhode Island, USA
DEMONSTRATION SESSION: Demonstration session: group A table of contents
Pages 1035-1038  
Year of Publication: 2009
ISBN:978-1-60558-551-2
Authors
Arvind Kumar  New York University, New York, NY, USA
Amey Purandare  New York University, New York, NY, USA
Jay Chen  New York University, New York, NY, USA
Arthur Meacham  New York University, New York, NY, USA
Lakshminarayanan Subramanian  New York University, New York, NY, USA
Sponsors
ACM: Association for Computing Machinery
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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ABSTRACT

Cell phones are increasingly being used as common clients for a wide suite of distributed, database-centric healthcare applications in developing regions. This is particularly true for rural developing regions where the bulk of the healthcare is handled by health workers due to lack of doctors; the widespread availability of cellular services have made mobile devices as an important computing platform for enabling healthcare applications for these health workers. Unfortunately, the current SQL model for distributed client/server systems is far too heavy-weight for these applications, particularly in light of the high communications cost and extremely limited data transmission capacity available in these environments.

In this demonstration, we describe the Efficient Lightweight Mobile Records (ELMR) system that provides a practical and lightweight database access protocol for accessing and updating records remotely from mobile devices under an extremely bandwidth and cost-constrained Short Messaging Service (SMS) channel comprising of 140 byte packets. We have implemented ELMR using the RMS functionality in J2ME, and integrated it into an HIV treatment application we are developing for use by African health workers.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
 
2
L. Subramanian et al. The Case for SmartTrack. NYU Technical Report, 2008
 
3
"OpenMRS," http://www.openmrs.org/
 
4
"Openrosa" http://www.openrosa.org/
 
5
"Voxiva" http://mobileactive.org/directory/vendors/voxiva
 
6
"FrontlineSMS," http://www.frontlinesms.com/
 
7
Samuel Madden et al. "TinyDB: An Acquisitional Query Processing System for Sensor Networks" http://tinydb.org/
 
8
"Partners in Health," http://www.pih.org/

Collaborative Colleagues:
Arvind Kumar: colleagues
Amey Purandare: colleagues
Jay Chen: colleagues
Arthur Meacham: colleagues
Lakshminarayanan Subramanian: colleagues