No Cover Image

Journal article 889 views 129 downloads

Integrating electronic health records from different sources across the UK: lessons from a record linkage study

Ronan A Lyons, Carol Dezateux, Suzanne Walton, Helen Bedford, Mario Cortina-Borja, Lucy Griffiths Orcid Logo, Ashley Akbari Orcid Logo, Karen Tingay, Amrita Bandyopadhyay

International Journal of Population Data Science, Volume: 3, Issue: 2

Swansea University Authors: Lucy Griffiths Orcid Logo, Ashley Akbari Orcid Logo

  • 43492.pdf

    PDF | Version of Record

    Released under the terms of a Creative Commons Attribution License Non-Commercial No Derivatives License (CC-BY-NC-ND).

    Download (244.49KB)
Published in: International Journal of Population Data Science
ISSN: 2399-4908
Published: International Conference for Administrative Data Research 2018
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa43492
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2018-08-16T13:12:55Z
last_indexed 2018-09-26T18:56:12Z
id cronfa43492
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2018-09-26T15:02:09.6790755</datestamp><bib-version>v2</bib-version><id>43492</id><entry>2018-08-16</entry><title>Integrating electronic health records from different sources across the UK: lessons from a record linkage study</title><swanseaauthors><author><sid>e35ea6ea4b429e812ef204b048131d93</sid><ORCID>0000-0001-9230-624X</ORCID><firstname>Lucy</firstname><surname>Griffiths</surname><name>Lucy Griffiths</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>aa1b025ec0243f708bb5eb0a93d6fb52</sid><ORCID>0000-0003-0814-0801</ORCID><firstname>Ashley</firstname><surname>Akbari</surname><name>Ashley Akbari</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2018-08-16</date><deptcode>HDAT</deptcode><abstract/><type>Journal Article</type><journal>International Journal of Population Data Science</journal><volume>3</volume><journalNumber>2</journalNumber><publisher>International Conference for Administrative Data Research</publisher><issnElectronic>2399-4908</issnElectronic><keywords/><publishedDay>11</publishedDay><publishedMonth>6</publishedMonth><publishedYear>2018</publishedYear><publishedDate>2018-06-11</publishedDate><doi>10.23889/ijpds.v3i2.495</doi><url/><notes/><college>COLLEGE NANME</college><department>Health Data Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HDAT</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2018-09-26T15:02:09.6790755</lastEdited><Created>2018-08-16T08:57:15.9117477</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Medicine</level></path><authors><author><firstname>Ronan A</firstname><surname>Lyons</surname><order>1</order></author><author><firstname>Carol</firstname><surname>Dezateux</surname><order>2</order></author><author><firstname>Suzanne</firstname><surname>Walton</surname><order>3</order></author><author><firstname>Helen</firstname><surname>Bedford</surname><order>4</order></author><author><firstname>Mario</firstname><surname>Cortina-Borja</surname><order>5</order></author><author><firstname>Lucy</firstname><surname>Griffiths</surname><orcid>0000-0001-9230-624X</orcid><order>6</order></author><author><firstname>Ashley</firstname><surname>Akbari</surname><orcid>0000-0003-0814-0801</orcid><order>7</order></author><author><firstname>Karen</firstname><surname>Tingay</surname><order>8</order></author><author><firstname>Amrita</firstname><surname>Bandyopadhyay</surname><order>9</order></author></authors><documents><document><filename>0043492-19092018092905.pdf</filename><originalFilename>43492.pdf</originalFilename><uploaded>2018-09-19T09:29:05.1400000</uploaded><type>Output</type><contentLength>221925</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><embargoDate>2018-09-19T00:00:00.0000000</embargoDate><documentNotes>Released under the terms of a Creative Commons Attribution License Non-Commercial No Derivatives License (CC-BY-NC-ND).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 2018-09-26T15:02:09.6790755 v2 43492 2018-08-16 Integrating electronic health records from different sources across the UK: lessons from a record linkage study e35ea6ea4b429e812ef204b048131d93 0000-0001-9230-624X Lucy Griffiths Lucy Griffiths true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 2018-08-16 HDAT Journal Article International Journal of Population Data Science 3 2 International Conference for Administrative Data Research 2399-4908 11 6 2018 2018-06-11 10.23889/ijpds.v3i2.495 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2018-09-26T15:02:09.6790755 2018-08-16T08:57:15.9117477 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Ronan A Lyons 1 Carol Dezateux 2 Suzanne Walton 3 Helen Bedford 4 Mario Cortina-Borja 5 Lucy Griffiths 0000-0001-9230-624X 6 Ashley Akbari 0000-0003-0814-0801 7 Karen Tingay 8 Amrita Bandyopadhyay 9 0043492-19092018092905.pdf 43492.pdf 2018-09-19T09:29:05.1400000 Output 221925 application/pdf Version of Record true 2018-09-19T00:00:00.0000000 Released under the terms of a Creative Commons Attribution License Non-Commercial No Derivatives License (CC-BY-NC-ND). true eng
title Integrating electronic health records from different sources across the UK: lessons from a record linkage study
spellingShingle Integrating electronic health records from different sources across the UK: lessons from a record linkage study
Lucy Griffiths
Ashley Akbari
title_short Integrating electronic health records from different sources across the UK: lessons from a record linkage study
title_full Integrating electronic health records from different sources across the UK: lessons from a record linkage study
title_fullStr Integrating electronic health records from different sources across the UK: lessons from a record linkage study
title_full_unstemmed Integrating electronic health records from different sources across the UK: lessons from a record linkage study
title_sort Integrating electronic health records from different sources across the UK: lessons from a record linkage study
author_id_str_mv e35ea6ea4b429e812ef204b048131d93
aa1b025ec0243f708bb5eb0a93d6fb52
author_id_fullname_str_mv e35ea6ea4b429e812ef204b048131d93_***_Lucy Griffiths
aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari
author Lucy Griffiths
Ashley Akbari
author2 Ronan A Lyons
Carol Dezateux
Suzanne Walton
Helen Bedford
Mario Cortina-Borja
Lucy Griffiths
Ashley Akbari
Karen Tingay
Amrita Bandyopadhyay
format Journal article
container_title International Journal of Population Data Science
container_volume 3
container_issue 2
publishDate 2018
institution Swansea University
issn 2399-4908
doi_str_mv 10.23889/ijpds.v3i2.495
publisher International Conference for Administrative Data Research
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
document_store_str 1
active_str 0
published_date 2018-06-11T03:54:42Z
_version_ 1763752733371793408
score 11.037581