Developing IHE-based PHR cloud systems

Cheng Yi Yang, Chien Tsai Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Population aging in the world causes medical expenses to soar. Preventive health care attracts people and government's close attention. Integrated electronic health records (EHRs) and Personal Health Records (PHRs) play a crucial role in providing continuous health care. Although, IHE (Integrating the Healthcare Enterprise) has developed the XDS (Cross Enterprise Document Sharing) integration profile for sharing clinical documents among computer systems in healthcare, the XDS integration profile may not directly support cloud computing environments where repository systems are heterogeneous and virtualized. In this paper, we propose a PHR cloud system architecture based on the cloud computing Service Model defined by the National Institute of Standards and Technology (NIST), and adopt the IHE XDS integration profile for system interoperability. To enhance computation power and system scalability we include Hadoop parallel computing model and implement a NoSQL storage layer in this PHR cloud architecture. Our approach presented here to PHR Systems Cloud architecture could be a paradigm for sharing documents in health care settings and supporting cloud computing as well.

Original languageEnglish
Title of host publicationProceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013
Pages1022-1025
Number of pages4
DOIs
Publication statusPublished - 2013
Event2013 ASE/IEEE Int. Conf. on Social Computing, SocialCom 2013, the 2013 ASE/IEEE Int. Conf. on Big Data, BigData 2013, the 2013 Int. Conf. on Economic Computing, EconCom 2013, the 2013 PASSAT 2013, and the 2013 ASE/IEEE Int. Conf. on BioMedCom 2013 - Washington, DC, United States
Duration: Sep 8 2013Sep 14 2013

Other

Other2013 ASE/IEEE Int. Conf. on Social Computing, SocialCom 2013, the 2013 ASE/IEEE Int. Conf. on Big Data, BigData 2013, the 2013 Int. Conf. on Economic Computing, EconCom 2013, the 2013 PASSAT 2013, and the 2013 ASE/IEEE Int. Conf. on BioMedCom 2013
CountryUnited States
CityWashington, DC
Period9/8/139/14/13

Fingerprint

Health
Cloud computing
Health care
Industry
Parallel processing systems
Interoperability
Scalability
Computer systems
Aging of materials

Keywords

  • Cloud computing
  • Electronic health record
  • Personal health record
  • System interoperability

ASJC Scopus subject areas

  • Software

Cite this

Yang, C. Y., & Liu, C. T. (2013). Developing IHE-based PHR cloud systems. In Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013 (pp. 1022-1025). [6693461] https://doi.org/10.1109/SocialCom.2013.164

Developing IHE-based PHR cloud systems. / Yang, Cheng Yi; Liu, Chien Tsai.

Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013. 2013. p. 1022-1025 6693461.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yang, CY & Liu, CT 2013, Developing IHE-based PHR cloud systems. in Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013., 6693461, pp. 1022-1025, 2013 ASE/IEEE Int. Conf. on Social Computing, SocialCom 2013, the 2013 ASE/IEEE Int. Conf. on Big Data, BigData 2013, the 2013 Int. Conf. on Economic Computing, EconCom 2013, the 2013 PASSAT 2013, and the 2013 ASE/IEEE Int. Conf. on BioMedCom 2013, Washington, DC, United States, 9/8/13. https://doi.org/10.1109/SocialCom.2013.164
Yang CY, Liu CT. Developing IHE-based PHR cloud systems. In Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013. 2013. p. 1022-1025. 6693461 https://doi.org/10.1109/SocialCom.2013.164
Yang, Cheng Yi ; Liu, Chien Tsai. / Developing IHE-based PHR cloud systems. Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013. 2013. pp. 1022-1025
@inproceedings{ff7ba57b1e96420598371fbe96be1dff,
title = "Developing IHE-based PHR cloud systems",
abstract = "Population aging in the world causes medical expenses to soar. Preventive health care attracts people and government's close attention. Integrated electronic health records (EHRs) and Personal Health Records (PHRs) play a crucial role in providing continuous health care. Although, IHE (Integrating the Healthcare Enterprise) has developed the XDS (Cross Enterprise Document Sharing) integration profile for sharing clinical documents among computer systems in healthcare, the XDS integration profile may not directly support cloud computing environments where repository systems are heterogeneous and virtualized. In this paper, we propose a PHR cloud system architecture based on the cloud computing Service Model defined by the National Institute of Standards and Technology (NIST), and adopt the IHE XDS integration profile for system interoperability. To enhance computation power and system scalability we include Hadoop parallel computing model and implement a NoSQL storage layer in this PHR cloud architecture. Our approach presented here to PHR Systems Cloud architecture could be a paradigm for sharing documents in health care settings and supporting cloud computing as well.",
keywords = "Cloud computing, Electronic health record, Personal health record, System interoperability",
author = "Yang, {Cheng Yi} and Liu, {Chien Tsai}",
year = "2013",
doi = "10.1109/SocialCom.2013.164",
language = "English",
isbn = "9780769551371",
pages = "1022--1025",
booktitle = "Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013",

}

TY - GEN

T1 - Developing IHE-based PHR cloud systems

AU - Yang, Cheng Yi

AU - Liu, Chien Tsai

PY - 2013

Y1 - 2013

N2 - Population aging in the world causes medical expenses to soar. Preventive health care attracts people and government's close attention. Integrated electronic health records (EHRs) and Personal Health Records (PHRs) play a crucial role in providing continuous health care. Although, IHE (Integrating the Healthcare Enterprise) has developed the XDS (Cross Enterprise Document Sharing) integration profile for sharing clinical documents among computer systems in healthcare, the XDS integration profile may not directly support cloud computing environments where repository systems are heterogeneous and virtualized. In this paper, we propose a PHR cloud system architecture based on the cloud computing Service Model defined by the National Institute of Standards and Technology (NIST), and adopt the IHE XDS integration profile for system interoperability. To enhance computation power and system scalability we include Hadoop parallel computing model and implement a NoSQL storage layer in this PHR cloud architecture. Our approach presented here to PHR Systems Cloud architecture could be a paradigm for sharing documents in health care settings and supporting cloud computing as well.

AB - Population aging in the world causes medical expenses to soar. Preventive health care attracts people and government's close attention. Integrated electronic health records (EHRs) and Personal Health Records (PHRs) play a crucial role in providing continuous health care. Although, IHE (Integrating the Healthcare Enterprise) has developed the XDS (Cross Enterprise Document Sharing) integration profile for sharing clinical documents among computer systems in healthcare, the XDS integration profile may not directly support cloud computing environments where repository systems are heterogeneous and virtualized. In this paper, we propose a PHR cloud system architecture based on the cloud computing Service Model defined by the National Institute of Standards and Technology (NIST), and adopt the IHE XDS integration profile for system interoperability. To enhance computation power and system scalability we include Hadoop parallel computing model and implement a NoSQL storage layer in this PHR cloud architecture. Our approach presented here to PHR Systems Cloud architecture could be a paradigm for sharing documents in health care settings and supporting cloud computing as well.

KW - Cloud computing

KW - Electronic health record

KW - Personal health record

KW - System interoperability

UR - http://www.scopus.com/inward/record.url?scp=84893532521&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84893532521&partnerID=8YFLogxK

U2 - 10.1109/SocialCom.2013.164

DO - 10.1109/SocialCom.2013.164

M3 - Conference contribution

SN - 9780769551371

SP - 1022

EP - 1025

BT - Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013

ER -