HL7 FHIR Compliant Data Access Model for Maternal Health Information System

Saadia Ismail; Majed Alshmari; Usman Qamar; Wasi Haider Butt; Khalid Latif; Hafiz Farooq Ahmad

doi:10.1109/BIBE.2016.9

HL7 FHIR Compliant Data Access Model for Maternal Health Information System

Saadia Ismail
, Majed Alshmari
, Usman Qamar
, Wasi Haider Butt
, Khalid Latif
, Hafiz Farooq Ahmad

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

11 Scopus citations

Abstract

Effective decision-making to improve healthcare for people depends essentially upon availability of reliable health data. Several developing countries have maternal health indicators lagging behind as compared to international targets set by the UN as Millennium or Sustainable Development Goals. One of the major reasons is poor and non-standardized maternal health record keeping that affect data quality and undermines evidence-based decision making. The aim of this research is the design and development of HL7 FHIR compliant data access model for maintaining maternal health data as FHIR resources to enable effective exchange of health data. The proposed model is implemented as restful web services and data is stored in a NoSQL database for flexibility. To evaluate effectiveness, the system was reviewed by healthcare providers and expectant women. Their feedback highlights the usefulness of the proposed system as compared to traditional record keeping techniques. It is anticipated that the proposed system will lay the foundation of a comprehensive maternal healthcare information system. This shall enable trend analysis for policy-making to help accelerate the efforts for meeting global maternal health targets.

Original language	English
Title of host publication	Proceedings - 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering, BIBE 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	51-56
Number of pages	6
ISBN (Electronic)	9781509038336
DOIs	https://doi.org/10.1109/BIBE.2016.9
State	Published - 16 Dec 2016
Externally published	Yes
Event	16th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2016 - Taichung, Taiwan, Province of China Duration: 31 Oct 2016 → 2 Nov 2016

Publication series

Name	Proceedings - 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering, BIBE 2016

Conference

Conference	16th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2016
Country/Territory	Taiwan, Province of China
City	Taichung
Period	31/10/16 → 2/11/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

UN SDGs

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

SDG 3 Good Health and Well-being
SDG 17 Partnerships for the Goals

Keywords

HL7 FHIR
Maternal Health
REST Architecture

ASJC Scopus subject areas

Biotechnology
Genetics
Bioengineering
Biomedical Engineering
Health Informatics

Access to Document

10.1109/BIBE.2016.9

Cite this

Ismail, S., Alshmari, M., Qamar, U., Butt, W. H., Latif, K., & Ahmad, H. F. (2016). HL7 FHIR Compliant Data Access Model for Maternal Health Information System. In Proceedings - 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering, BIBE 2016 (pp. 51-56). Article 7789959 (Proceedings - 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering, BIBE 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBE.2016.9

Ismail, Saadia ; Alshmari, Majed ; Qamar, Usman et al. / HL7 FHIR Compliant Data Access Model for Maternal Health Information System. Proceedings - 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering, BIBE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 51-56 (Proceedings - 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering, BIBE 2016).

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abstract = "Effective decision-making to improve healthcare for people depends essentially upon availability of reliable health data. Several developing countries have maternal health indicators lagging behind as compared to international targets set by the UN as Millennium or Sustainable Development Goals. One of the major reasons is poor and non-standardized maternal health record keeping that affect data quality and undermines evidence-based decision making. The aim of this research is the design and development of HL7 FHIR compliant data access model for maintaining maternal health data as FHIR resources to enable effective exchange of health data. The proposed model is implemented as restful web services and data is stored in a NoSQL database for flexibility. To evaluate effectiveness, the system was reviewed by healthcare providers and expectant women. Their feedback highlights the usefulness of the proposed system as compared to traditional record keeping techniques. It is anticipated that the proposed system will lay the foundation of a comprehensive maternal healthcare information system. This shall enable trend analysis for policy-making to help accelerate the efforts for meeting global maternal health targets.",

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Ismail, S, Alshmari, M, Qamar, U, Butt, WH, Latif, K & Ahmad, HF 2016, HL7 FHIR Compliant Data Access Model for Maternal Health Information System. in Proceedings - 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering, BIBE 2016., 7789959, Proceedings - 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering, BIBE 2016, Institute of Electrical and Electronics Engineers Inc., pp. 51-56, 16th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2016, Taichung, Taiwan, Province of China, 31/10/16. https://doi.org/10.1109/BIBE.2016.9

HL7 FHIR Compliant Data Access Model for Maternal Health Information System. / Ismail, Saadia; Alshmari, Majed; Qamar, Usman et al.
Proceedings - 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering, BIBE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 51-56 7789959 (Proceedings - 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering, BIBE 2016).

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

TY - GEN

T1 - HL7 FHIR Compliant Data Access Model for Maternal Health Information System

AU - Ismail, Saadia

AU - Alshmari, Majed

AU - Qamar, Usman

AU - Butt, Wasi Haider

AU - Latif, Khalid

AU - Ahmad, Hafiz Farooq

PY - 2016/12/16

Y1 - 2016/12/16

N2 - Effective decision-making to improve healthcare for people depends essentially upon availability of reliable health data. Several developing countries have maternal health indicators lagging behind as compared to international targets set by the UN as Millennium or Sustainable Development Goals. One of the major reasons is poor and non-standardized maternal health record keeping that affect data quality and undermines evidence-based decision making. The aim of this research is the design and development of HL7 FHIR compliant data access model for maintaining maternal health data as FHIR resources to enable effective exchange of health data. The proposed model is implemented as restful web services and data is stored in a NoSQL database for flexibility. To evaluate effectiveness, the system was reviewed by healthcare providers and expectant women. Their feedback highlights the usefulness of the proposed system as compared to traditional record keeping techniques. It is anticipated that the proposed system will lay the foundation of a comprehensive maternal healthcare information system. This shall enable trend analysis for policy-making to help accelerate the efforts for meeting global maternal health targets.

AB - Effective decision-making to improve healthcare for people depends essentially upon availability of reliable health data. Several developing countries have maternal health indicators lagging behind as compared to international targets set by the UN as Millennium or Sustainable Development Goals. One of the major reasons is poor and non-standardized maternal health record keeping that affect data quality and undermines evidence-based decision making. The aim of this research is the design and development of HL7 FHIR compliant data access model for maintaining maternal health data as FHIR resources to enable effective exchange of health data. The proposed model is implemented as restful web services and data is stored in a NoSQL database for flexibility. To evaluate effectiveness, the system was reviewed by healthcare providers and expectant women. Their feedback highlights the usefulness of the proposed system as compared to traditional record keeping techniques. It is anticipated that the proposed system will lay the foundation of a comprehensive maternal healthcare information system. This shall enable trend analysis for policy-making to help accelerate the efforts for meeting global maternal health targets.

KW - HL7 FHIR

KW - Maternal Health

KW - REST Architecture

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T3 - Proceedings - 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering, BIBE 2016

SP - 51

EP - 56

BT - Proceedings - 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering, BIBE 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 16th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2016

Y2 - 31 October 2016 through 2 November 2016

ER -

Ismail S, Alshmari M, Qamar U, Butt WH, Latif K, Ahmad HF. HL7 FHIR Compliant Data Access Model for Maternal Health Information System. In Proceedings - 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering, BIBE 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 51-56. 7789959. (Proceedings - 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering, BIBE 2016). doi: 10.1109/BIBE.2016.9

HL7 FHIR Compliant Data Access Model for Maternal Health Information System

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this