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Developing a standardised approach to the aggregation of inpatient episodes into person-based spells in all specialties and psychiatric specialties

Sarah Rees Orcid Logo, Ashley Akbari Orcid Logo, Huw Collins, Sze Chim Lee, Amanda Marchant Orcid Logo, Arfon Rees, Daniel Thayer Orcid Logo, Ting Wang, Sophie Wood, Ann John Orcid Logo

BMC Medical Informatics and Decision Making, Volume: 19, Issue: 1

Swansea University Authors: Sarah Rees Orcid Logo, Ashley Akbari Orcid Logo, Huw Collins, Sze Chim Lee, Amanda Marchant Orcid Logo, Arfon Rees, Daniel Thayer Orcid Logo, Ting Wang, Sophie Wood, Ann John Orcid Logo

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DOI (Published version): 10.1186/s12911-019-0953-2

Published in: BMC Medical Informatics and Decision Making
ISSN: 1472-6947
Published: Springer Science and Business Media LLC 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa53019
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last_indexed 2020-10-31T04:05:11Z
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spelling 2020-10-30T09:44:08.9312238 v2 53019 2019-12-11 Developing a standardised approach to the aggregation of inpatient episodes into person-based spells in all specialties and psychiatric specialties 86073be88970f36d7ffa0a1f0768be2b 0000-0002-1939-0120 Sarah Rees Sarah Rees true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 68de1e4c2140c97c37cdf154a3f18819 Huw Collins Huw Collins true false 10628af4988d624b49c4de7bd78b4694 Sze Chim Lee Sze Chim Lee true false 0776f450dd575004ba7c69930c579cae 0000-0001-7013-6980 Amanda Marchant Amanda Marchant true false f6c63061b401d67f479f766e31d0c474 Arfon Rees Arfon Rees true false e1a6d9b30965cc61a76371fc8a1bf232 0000-0003-1847-4362 Daniel Thayer Daniel Thayer true false 07cadc7e2e640735ae1f5bd948b74f6c Ting Wang Ting Wang true false e993751efa35e694df535d9d257c01c6 Sophie Wood Sophie Wood true false ed8a9c37bd7b7235b762d941ef18ee55 0000-0002-5657-6995 Ann John Ann John true false 2019-12-11 HDAT Journal Article BMC Medical Informatics and Decision Making 19 1 Springer Science and Business Media LLC 1472-6947 Data linkage, Electronic healthcare record, Data quality, Routine health data, Hospital inpatient episodes, Spells 1 12 2019 2019-12-01 10.1186/s12911-019-0953-2 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2020-10-30T09:44:08.9312238 2019-12-11T13:45:45.1251065 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Sarah Rees 0000-0002-1939-0120 1 Ashley Akbari 0000-0003-0814-0801 2 Huw Collins 3 Sze Chim Lee 4 Amanda Marchant 0000-0001-7013-6980 5 Arfon Rees 6 Daniel Thayer 0000-0003-1847-4362 7 Ting Wang 8 Sophie Wood 9 Ann John 0000-0002-5657-6995 10 53019__16082__88f86333819742b39f68228036981b41.pdf 53019.pdf 2019-12-11T13:47:14.3822183 Output 1798845 application/pdf Version of Record true Released under the terms of a Creative Commons Attribution 4.0 International License (CC-BY). true English http://creativecommons.org/licenses/by/4.0/
title Developing a standardised approach to the aggregation of inpatient episodes into person-based spells in all specialties and psychiatric specialties
spellingShingle Developing a standardised approach to the aggregation of inpatient episodes into person-based spells in all specialties and psychiatric specialties
Sarah Rees
Ashley Akbari
Huw Collins
Sze Chim Lee
Amanda Marchant
Arfon Rees
Daniel Thayer
Ting Wang
Sophie Wood
Ann John
title_short Developing a standardised approach to the aggregation of inpatient episodes into person-based spells in all specialties and psychiatric specialties
title_full Developing a standardised approach to the aggregation of inpatient episodes into person-based spells in all specialties and psychiatric specialties
title_fullStr Developing a standardised approach to the aggregation of inpatient episodes into person-based spells in all specialties and psychiatric specialties
title_full_unstemmed Developing a standardised approach to the aggregation of inpatient episodes into person-based spells in all specialties and psychiatric specialties
title_sort Developing a standardised approach to the aggregation of inpatient episodes into person-based spells in all specialties and psychiatric specialties
author_id_str_mv 86073be88970f36d7ffa0a1f0768be2b
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10628af4988d624b49c4de7bd78b4694
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f6c63061b401d67f479f766e31d0c474
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author_id_fullname_str_mv 86073be88970f36d7ffa0a1f0768be2b_***_Sarah Rees
aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari
68de1e4c2140c97c37cdf154a3f18819_***_Huw Collins
10628af4988d624b49c4de7bd78b4694_***_Sze Chim Lee
0776f450dd575004ba7c69930c579cae_***_Amanda Marchant
f6c63061b401d67f479f766e31d0c474_***_Arfon Rees
e1a6d9b30965cc61a76371fc8a1bf232_***_Daniel Thayer
07cadc7e2e640735ae1f5bd948b74f6c_***_Ting Wang
e993751efa35e694df535d9d257c01c6_***_Sophie Wood
ed8a9c37bd7b7235b762d941ef18ee55_***_Ann John
author Sarah Rees
Ashley Akbari
Huw Collins
Sze Chim Lee
Amanda Marchant
Arfon Rees
Daniel Thayer
Ting Wang
Sophie Wood
Ann John
author2 Sarah Rees
Ashley Akbari
Huw Collins
Sze Chim Lee
Amanda Marchant
Arfon Rees
Daniel Thayer
Ting Wang
Sophie Wood
Ann John
format Journal article
container_title BMC Medical Informatics and Decision Making
container_volume 19
container_issue 1
publishDate 2019
institution Swansea University
issn 1472-6947
doi_str_mv 10.1186/s12911-019-0953-2
publisher Springer Science and Business Media LLC
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 2019-12-01T04:05:46Z
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