Developing eXtensible mHealth solutions for low resource settings

Yvonne O’Connor; Timothy O’Sullivan; Joe Gallagher; Ciara Heavin; John O’donoghue

doi:10.1007/978-3-319-13817-6_35

Developing eXtensible mHealth solutions for low resource settings

Yvonne O’Connor, Timothy O’Sullivan, Joe Gallagher, Ciara Heavin, John O’donoghue

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

Abstract

Over the last ten years there has been a proliferation of mHealth solutions to support patient diagnosis and treatment. Coupled with this, increased attention and resources have been attributed to the development of technologies to improve patient health care outcomes in low resource settings. Most significantly, it is the development of highly extensible, portable and scalable technologies which have received the most attention. As part of an mHealth intervention in Malawi Africa, an agnostic clinical guideline decisionsupport rule engine has been developed which uses classification and treatment rules for assessing a sick child defined in XML; namely, Integrated Management of Childhood Illness (IMCI) and Community Case Management (CCM). Using a two-phased approach, 1) the rules underpinning the cloudbased mobile eCCM application were devised based on the widely accepted WHO/UNICEF paper based guidelines and 2) subsequently validated and extended through a user workshop conducted in Malawi, Africa.

Original language	English
Title of host publication	Mining Intelligence and Knowledge Exploration - 2nd International Conference, MIKE 2014, Proceedings
Editors	Rajendra Prasath, Philip O’Reilly, Thangairulappan Kathirvalavakumar
Publisher	Springer Verlag
Pages	361-371
Number of pages	11
ISBN (Electronic)	9783319138169
DOIs	https://doi.org/10.1007/978-3-319-13817-6_35
Publication status	Published - 2014
Externally published	Yes
Event	2nd International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2014 - Cork, Ireland Duration: 10 Dec 2014 → 12 Dec 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8891
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2014
Country/Territory	Ireland
City	Cork
Period	10/12/14 → 12/12/14

Keywords

Cloud-based technology
Community Case Management (CCM)
Electronic-CCM (eCCM)
Low Resource Settings
mHealth
XML

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-319-13817-6_35

Cite this

O’Connor, Y., O’Sullivan, T., Gallagher, J., Heavin, C., & O’donoghue, J. (2014). Developing eXtensible mHealth solutions for low resource settings. In R. Prasath, P. O’Reilly, & T. Kathirvalavakumar (Eds.), Mining Intelligence and Knowledge Exploration - 2nd International Conference, MIKE 2014, Proceedings (pp. 361-371). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8891). Springer Verlag. https://doi.org/10.1007/978-3-319-13817-6_35

O’Connor, Yvonne ; O’Sullivan, Timothy ; Gallagher, Joe et al. / Developing eXtensible mHealth solutions for low resource settings. Mining Intelligence and Knowledge Exploration - 2nd International Conference, MIKE 2014, Proceedings. editor / Rajendra Prasath ; Philip O’Reilly ; Thangairulappan Kathirvalavakumar. Springer Verlag, 2014. pp. 361-371 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{5f1a5d81dfda42b8b2b2c55c7ba5a5ea,

title = "Developing eXtensible mHealth solutions for low resource settings",

abstract = "Over the last ten years there has been a proliferation of mHealth solutions to support patient diagnosis and treatment. Coupled with this, increased attention and resources have been attributed to the development of technologies to improve patient health care outcomes in low resource settings. Most significantly, it is the development of highly extensible, portable and scalable technologies which have received the most attention. As part of an mHealth intervention in Malawi Africa, an agnostic clinical guideline decisionsupport rule engine has been developed which uses classification and treatment rules for assessing a sick child defined in XML; namely, Integrated Management of Childhood Illness (IMCI) and Community Case Management (CCM). Using a two-phased approach, 1) the rules underpinning the cloudbased mobile eCCM application were devised based on the widely accepted WHO/UNICEF paper based guidelines and 2) subsequently validated and extended through a user workshop conducted in Malawi, Africa.",

keywords = "Cloud-based technology, Community Case Management (CCM), Electronic-CCM (eCCM), Low Resource Settings, mHealth, XML",

author = "Yvonne O{\textquoteright}Connor and Timothy O{\textquoteright}Sullivan and Joe Gallagher and Ciara Heavin and John O{\textquoteright}donoghue",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; 2nd International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2014 ; Conference date: 10-12-2014 Through 12-12-2014",

year = "2014",

doi = "10.1007/978-3-319-13817-6_35",

language = "English",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "361--371",

editor = "Rajendra Prasath and Philip O{\textquoteright}Reilly and Thangairulappan Kathirvalavakumar",

booktitle = "Mining Intelligence and Knowledge Exploration - 2nd International Conference, MIKE 2014, Proceedings",

}

O’Connor, Y, O’Sullivan, T, Gallagher, J, Heavin, C & O’donoghue, J 2014, Developing eXtensible mHealth solutions for low resource settings. in R Prasath, P O’Reilly & T Kathirvalavakumar (eds), Mining Intelligence and Knowledge Exploration - 2nd International Conference, MIKE 2014, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8891, Springer Verlag, pp. 361-371, 2nd International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2014, Cork, Ireland, 10/12/14. https://doi.org/10.1007/978-3-319-13817-6_35

Developing eXtensible mHealth solutions for low resource settings. / O’Connor, Yvonne; O’Sullivan, Timothy; Gallagher, Joe et al.
Mining Intelligence and Knowledge Exploration - 2nd International Conference, MIKE 2014, Proceedings. ed. / Rajendra Prasath; Philip O’Reilly; Thangairulappan Kathirvalavakumar. Springer Verlag, 2014. p. 361-371 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8891).

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

TY - GEN

T1 - Developing eXtensible mHealth solutions for low resource settings

AU - O’Connor, Yvonne

AU - O’Sullivan, Timothy

AU - Gallagher, Joe

AU - Heavin, Ciara

AU - O’donoghue, John

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2014.

PY - 2014

Y1 - 2014

N2 - Over the last ten years there has been a proliferation of mHealth solutions to support patient diagnosis and treatment. Coupled with this, increased attention and resources have been attributed to the development of technologies to improve patient health care outcomes in low resource settings. Most significantly, it is the development of highly extensible, portable and scalable technologies which have received the most attention. As part of an mHealth intervention in Malawi Africa, an agnostic clinical guideline decisionsupport rule engine has been developed which uses classification and treatment rules for assessing a sick child defined in XML; namely, Integrated Management of Childhood Illness (IMCI) and Community Case Management (CCM). Using a two-phased approach, 1) the rules underpinning the cloudbased mobile eCCM application were devised based on the widely accepted WHO/UNICEF paper based guidelines and 2) subsequently validated and extended through a user workshop conducted in Malawi, Africa.

AB - Over the last ten years there has been a proliferation of mHealth solutions to support patient diagnosis and treatment. Coupled with this, increased attention and resources have been attributed to the development of technologies to improve patient health care outcomes in low resource settings. Most significantly, it is the development of highly extensible, portable and scalable technologies which have received the most attention. As part of an mHealth intervention in Malawi Africa, an agnostic clinical guideline decisionsupport rule engine has been developed which uses classification and treatment rules for assessing a sick child defined in XML; namely, Integrated Management of Childhood Illness (IMCI) and Community Case Management (CCM). Using a two-phased approach, 1) the rules underpinning the cloudbased mobile eCCM application were devised based on the widely accepted WHO/UNICEF paper based guidelines and 2) subsequently validated and extended through a user workshop conducted in Malawi, Africa.

KW - Cloud-based technology

KW - Community Case Management (CCM)

KW - Electronic-CCM (eCCM)

KW - Low Resource Settings

KW - mHealth

KW - XML

UR - http://www.scopus.com/inward/record.url?scp=84915752408&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-13817-6_35

DO - 10.1007/978-3-319-13817-6_35

M3 - Conference contribution

AN - SCOPUS:84915752408

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 361

EP - 371

BT - Mining Intelligence and Knowledge Exploration - 2nd International Conference, MIKE 2014, Proceedings

A2 - Prasath, Rajendra

A2 - O’Reilly, Philip

A2 - Kathirvalavakumar, Thangairulappan

PB - Springer Verlag

T2 - 2nd International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2014

Y2 - 10 December 2014 through 12 December 2014

ER -

O’Connor Y, O’Sullivan T, Gallagher J, Heavin C, O’donoghue J. Developing eXtensible mHealth solutions for low resource settings. In Prasath R, O’Reilly P, Kathirvalavakumar T, editors, Mining Intelligence and Knowledge Exploration - 2nd International Conference, MIKE 2014, Proceedings. Springer Verlag. 2014. p. 361-371. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-13817-6_35

Developing eXtensible mHealth solutions for low resource settings

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this