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Technical Report 474 views

Informing better use of Welsh hospital admissions data in the SAIL Databank: A review of the clinical coding completeness and lag in the Patient Episode Database for Wales (PEDW)

Victoria Best, Ashley Akbari Orcid Logo, Stuart Bedston, Gareth Davies, Emily Lowthian, Jane Lyons, Fatemeh Torabi Orcid Logo, Ronan Lyons Orcid Logo

Swansea University Authors: Victoria Best, Ashley Akbari Orcid Logo, Stuart Bedston, Gareth Davies, Emily Lowthian, Jane Lyons, Fatemeh Torabi Orcid Logo, Ronan Lyons Orcid Logo

Published: ADR Wales 2022
Online Access: https://www.adruk.org/news-publications/publications-reports/informing-better-use-of-welsh-hospital-admissions-data-in-the-sail-databank/
URI: https://cronfa.swan.ac.uk/Record/cronfa59295
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first_indexed 2022-03-03T13:34:18Z
last_indexed 2022-03-04T04:28:24Z
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spelling 2022-03-03T13:34:26.2974417 v2 59295 2022-02-02 Informing better use of Welsh hospital admissions data in the SAIL Databank: A review of the clinical coding completeness and lag in the Patient Episode Database for Wales (PEDW) 0c82f7076d0fc5c916ecbcc472a6a9ae Victoria Best Victoria Best true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false c79d07eaba5c9515c0df82b372b76a41 Stuart Bedston Stuart Bedston true false ab7964da48dd7d1b74a81f2935dc564b Gareth Davies Gareth Davies true false db5bc529b8a9dfca2b4a268d14e03479 Emily Lowthian Emily Lowthian true false 1b74fa5125a88451c52c45bcf20e0b47 Jane Lyons Jane Lyons true false f569591e1bfb0e405b8091f99fec45d3 0000-0002-5853-4625 Fatemeh Torabi Fatemeh Torabi true false 83efcf2a9dfcf8b55586999d3d152ac6 0000-0001-5225-000X Ronan Lyons Ronan Lyons true false 2022-02-02 HDAT Technical Report ADR Wales 18 1 2022 2022-01-18 https://www.adruk.org/news-publications/publications-reports/informing-better-use-of-welsh-hospital-admissions-data-in-the-sail-databank/ https://www.adruk.org/news-publications/publications-reports/informing-better-use-of-welsh-hospital-admissions-data-in-the-sail-databank/ COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2022-03-03T13:34:26.2974417 2022-02-02T12:56:34.5683834 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Victoria Best 1 Ashley Akbari 0000-0003-0814-0801 2 Stuart Bedston 3 Gareth Davies 4 Emily Lowthian 5 Jane Lyons 6 Fatemeh Torabi 0000-0002-5853-4625 7 Ronan Lyons 0000-0001-5225-000X 8
title Informing better use of Welsh hospital admissions data in the SAIL Databank: A review of the clinical coding completeness and lag in the Patient Episode Database for Wales (PEDW)
spellingShingle Informing better use of Welsh hospital admissions data in the SAIL Databank: A review of the clinical coding completeness and lag in the Patient Episode Database for Wales (PEDW)
Victoria Best
Ashley Akbari
Stuart Bedston
Gareth Davies
Emily Lowthian
Jane Lyons
Fatemeh Torabi
Ronan Lyons
title_short Informing better use of Welsh hospital admissions data in the SAIL Databank: A review of the clinical coding completeness and lag in the Patient Episode Database for Wales (PEDW)
title_full Informing better use of Welsh hospital admissions data in the SAIL Databank: A review of the clinical coding completeness and lag in the Patient Episode Database for Wales (PEDW)
title_fullStr Informing better use of Welsh hospital admissions data in the SAIL Databank: A review of the clinical coding completeness and lag in the Patient Episode Database for Wales (PEDW)
title_full_unstemmed Informing better use of Welsh hospital admissions data in the SAIL Databank: A review of the clinical coding completeness and lag in the Patient Episode Database for Wales (PEDW)
title_sort Informing better use of Welsh hospital admissions data in the SAIL Databank: A review of the clinical coding completeness and lag in the Patient Episode Database for Wales (PEDW)
author_id_str_mv 0c82f7076d0fc5c916ecbcc472a6a9ae
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author_id_fullname_str_mv 0c82f7076d0fc5c916ecbcc472a6a9ae_***_Victoria Best
aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari
c79d07eaba5c9515c0df82b372b76a41_***_Stuart Bedston
ab7964da48dd7d1b74a81f2935dc564b_***_Gareth Davies
db5bc529b8a9dfca2b4a268d14e03479_***_Emily Lowthian
1b74fa5125a88451c52c45bcf20e0b47_***_Jane Lyons
f569591e1bfb0e405b8091f99fec45d3_***_Fatemeh Torabi
83efcf2a9dfcf8b55586999d3d152ac6_***_Ronan Lyons
author Victoria Best
Ashley Akbari
Stuart Bedston
Gareth Davies
Emily Lowthian
Jane Lyons
Fatemeh Torabi
Ronan Lyons
author2 Victoria Best
Ashley Akbari
Stuart Bedston
Gareth Davies
Emily Lowthian
Jane Lyons
Fatemeh Torabi
Ronan Lyons
format Technical Report
publishDate 2022
institution Swansea University
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
url https://www.adruk.org/news-publications/publications-reports/informing-better-use-of-welsh-hospital-admissions-data-in-the-sail-databank/
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published_date 2022-01-18T04:16:29Z
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