Cargando…

A commentary on the value of hospital data for covid-19 pandemic surveillance and planning

Hospital data for covid-19 surveillance, planning and modelling are challenging to find worldwide in public aggregation portals. Detailed covid-19 hospital data provides insights into covid-19’s health burden including identifying which sociodemographic groups are at greatest risk of covid-19 morbid...

Descripción completa

Detalles Bibliográficos
Autores principales: Manuel, Douglas G., van Walraven, Carl, Forster, Alan J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Swansea University 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8104152/
https://www.ncbi.nlm.nih.gov/pubmed/34007891
http://dx.doi.org/10.23889/ijpds.v5i4.1393
_version_ 1783689431251681280
author Manuel, Douglas G.
van Walraven, Carl
Forster, Alan J.
author_facet Manuel, Douglas G.
van Walraven, Carl
Forster, Alan J.
author_sort Manuel, Douglas G.
collection PubMed
description Hospital data for covid-19 surveillance, planning and modelling are challenging to find worldwide in public aggregation portals. Detailed covid-19 hospital data provides insights into covid-19’s health burden including identifying which sociodemographic groups are at greatest risk of covid-19 morbidity and mortality. Timely hospital data is the best source of information for actionable forecasts and projection models of hospital capacity, including critical resources such as intensive care unit beds and ventilators that take time to plan or procure. A challenge to generate timely and detailed hospital data is the reliance on separation or discharge abstracts and census counts. What are needed are well-maintained lists of patients hospitalized with covid-19. From the standpoint of public health and health services researchers and practitioners, we describe the role of hospital data for studying covid-19, why admission data are hard to find, and how improved data infrastructure can meet surveillance and planning needs in the near future. Modern hospital electronic health records can create covid-19 patient lists and these decision support tools are increasingly used for research. These tools can generate patient lists that are transmitted and combined with public health data systems.
format Online
Article
Text
id pubmed-8104152
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Swansea University
record_format MEDLINE/PubMed
spelling pubmed-81041522021-05-17 A commentary on the value of hospital data for covid-19 pandemic surveillance and planning Manuel, Douglas G. van Walraven, Carl Forster, Alan J. Int J Popul Data Sci Population Data Science Hospital data for covid-19 surveillance, planning and modelling are challenging to find worldwide in public aggregation portals. Detailed covid-19 hospital data provides insights into covid-19’s health burden including identifying which sociodemographic groups are at greatest risk of covid-19 morbidity and mortality. Timely hospital data is the best source of information for actionable forecasts and projection models of hospital capacity, including critical resources such as intensive care unit beds and ventilators that take time to plan or procure. A challenge to generate timely and detailed hospital data is the reliance on separation or discharge abstracts and census counts. What are needed are well-maintained lists of patients hospitalized with covid-19. From the standpoint of public health and health services researchers and practitioners, we describe the role of hospital data for studying covid-19, why admission data are hard to find, and how improved data infrastructure can meet surveillance and planning needs in the near future. Modern hospital electronic health records can create covid-19 patient lists and these decision support tools are increasingly used for research. These tools can generate patient lists that are transmitted and combined with public health data systems. Swansea University 2021-03-03 /pmc/articles/PMC8104152/ /pubmed/34007891 http://dx.doi.org/10.23889/ijpds.v5i4.1393 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Population Data Science
Manuel, Douglas G.
van Walraven, Carl
Forster, Alan J.
A commentary on the value of hospital data for covid-19 pandemic surveillance and planning
title A commentary on the value of hospital data for covid-19 pandemic surveillance and planning
title_full A commentary on the value of hospital data for covid-19 pandemic surveillance and planning
title_fullStr A commentary on the value of hospital data for covid-19 pandemic surveillance and planning
title_full_unstemmed A commentary on the value of hospital data for covid-19 pandemic surveillance and planning
title_short A commentary on the value of hospital data for covid-19 pandemic surveillance and planning
title_sort commentary on the value of hospital data for covid-19 pandemic surveillance and planning
topic Population Data Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8104152/
https://www.ncbi.nlm.nih.gov/pubmed/34007891
http://dx.doi.org/10.23889/ijpds.v5i4.1393
work_keys_str_mv AT manueldouglasg acommentaryonthevalueofhospitaldataforcovid19pandemicsurveillanceandplanning
AT vanwalravencarl acommentaryonthevalueofhospitaldataforcovid19pandemicsurveillanceandplanning
AT forsteralanj acommentaryonthevalueofhospitaldataforcovid19pandemicsurveillanceandplanning
AT manueldouglasg commentaryonthevalueofhospitaldataforcovid19pandemicsurveillanceandplanning
AT vanwalravencarl commentaryonthevalueofhospitaldataforcovid19pandemicsurveillanceandplanning
AT forsteralanj commentaryonthevalueofhospitaldataforcovid19pandemicsurveillanceandplanning