Federating health information systems to enable population level research

John Ainsworth; Peter Crowther; Iain Buchan

doi:10.1109/CBMS.2009.5255442

Federating health information systems to enable population level research

John Ainsworth, Peter Crowther, Iain Buchan

Division of Informatics, Imaging & Data Sciences (L5)

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

Abstract

Epidemiology requires large-scale, high-resolution, representative population data sets; data extracted from electronic health record systems meets these criteria. However, within the UK, there is no single electronic health record, and the record of a patient's healthcare is fragmented over multiple systems and multiple organizations. In the SHORE project we have developed a proof of concept system that addresses these problems by retaining control of patient data at a local level, where it can be effectively interpreted and governed, and by overlaying on these data sources privacy-preserving record linkage providing a unified view of the health and care of the population. ©2009 IEEE.

Original language	English
Title of host publication	Proceedings - IEEE Symposium on Computer-Based Medical Systems\|Proc. IEEE Symp. Comput.-Based Med. Syst.
Publisher	IEEE
Number of pages	4
ISBN (Print)	9781424448784
DOIs	https://doi.org/10.1109/CBMS.2009.5255442
Publication status	Published - 2009
Event	2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009 - Albuquerque, NM Duration: 1 Jul 2009 → …

Conference

Conference	2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009
City	Albuquerque, NM
Period	1/07/09 → …

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10.1109/CBMS.2009.5255442

http://www.computer.org/portal/web/csdl/doi/10.1109/CBMS.2009.5255442

Cite this

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title = "Federating health information systems to enable population level research",

abstract = "Epidemiology requires large-scale, high-resolution, representative population data sets; data extracted from electronic health record systems meets these criteria. However, within the UK, there is no single electronic health record, and the record of a patient's healthcare is fragmented over multiple systems and multiple organizations. In the SHORE project we have developed a proof of concept system that addresses these problems by retaining control of patient data at a local level, where it can be effectively interpreted and governed, and by overlaying on these data sources privacy-preserving record linkage providing a unified view of the health and care of the population. {\textcopyright}2009 IEEE.",

author = "John Ainsworth and Peter Crowther and Iain Buchan",

year = "2009",

doi = "10.1109/CBMS.2009.5255442",

language = "English",

isbn = "9781424448784",

booktitle = "Proceedings - IEEE Symposium on Computer-Based Medical Systems|Proc. IEEE Symp. Comput.-Based Med. Syst.",

publisher = "IEEE",

address = "United States",

note = "2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009 ; Conference date: 01-07-2009",

}

Ainsworth, J, Crowther, P & Buchan, I 2009, Federating health information systems to enable population level research. in Proceedings - IEEE Symposium on Computer-Based Medical Systems|Proc. IEEE Symp. Comput.-Based Med. Syst.. IEEE, 2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009, Albuquerque, NM, 1/07/09. https://doi.org/10.1109/CBMS.2009.5255442

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AU - Ainsworth, John

AU - Crowther, Peter

AU - Buchan, Iain

PY - 2009

Y1 - 2009

N2 - Epidemiology requires large-scale, high-resolution, representative population data sets; data extracted from electronic health record systems meets these criteria. However, within the UK, there is no single electronic health record, and the record of a patient's healthcare is fragmented over multiple systems and multiple organizations. In the SHORE project we have developed a proof of concept system that addresses these problems by retaining control of patient data at a local level, where it can be effectively interpreted and governed, and by overlaying on these data sources privacy-preserving record linkage providing a unified view of the health and care of the population. ©2009 IEEE.

AB - Epidemiology requires large-scale, high-resolution, representative population data sets; data extracted from electronic health record systems meets these criteria. However, within the UK, there is no single electronic health record, and the record of a patient's healthcare is fragmented over multiple systems and multiple organizations. In the SHORE project we have developed a proof of concept system that addresses these problems by retaining control of patient data at a local level, where it can be effectively interpreted and governed, and by overlaying on these data sources privacy-preserving record linkage providing a unified view of the health and care of the population. ©2009 IEEE.

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DO - 10.1109/CBMS.2009.5255442

M3 - Conference contribution

SN - 9781424448784

BT - Proceedings - IEEE Symposium on Computer-Based Medical Systems|Proc. IEEE Symp. Comput.-Based Med. Syst.

PB - IEEE

T2 - 2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009

Y2 - 1 July 2009

ER -

Federating health information systems to enable population level research

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