A Granular Ontology Model for Maternal and Child Health Information System
Joint Authors
Ahmad, Hafiz Farooq
Ismail, Saadia
Alshmari, Majed
Latif, Khalid
Source
Journal of Healthcare Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-16
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
In several developing countries, maternal and child health indicators trail behind the international targets set by the UN as Millennium or Sustainable Development Goals.
One of the reasons is poor and nonstandardized maternal health record keeping that affects data quality.
Effective decision making to improve public healthcare depends essentially on the availability of reliable data.
Therefore, the aim of this research is the design and development of the standard compliant data access model for maintaining maternal and child health data to enable the effective exchange of healthcare data.
The proposed model is very granular and comprehensive in contrast with existing systems.
To evaluate the effectiveness of the model, a web application was implemented and was reviewed by healthcare providers and expectant mothers.
User feedback highlights the usefulness of the proposed approach as compared to traditional record-keeping techniques.
It is anticipated that the proposed model will lay a foundation for a comprehensive maternal and child healthcare information system.
This shall enable trend analysis for policy making to help accelerate the efforts for meeting global maternal and child health targets.
American Psychological Association (APA)
Ismail, Saadia& Alshmari, Majed& Latif, Khalid& Ahmad, Hafiz Farooq. 2017. A Granular Ontology Model for Maternal and Child Health Information System. Journal of Healthcare Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1181421
Modern Language Association (MLA)
Ismail, Saadia…[et al.]. A Granular Ontology Model for Maternal and Child Health Information System. Journal of Healthcare Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1181421
American Medical Association (AMA)
Ismail, Saadia& Alshmari, Majed& Latif, Khalid& Ahmad, Hafiz Farooq. A Granular Ontology Model for Maternal and Child Health Information System. Journal of Healthcare Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1181421
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181421