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The skåne emergency medicine (SEM) cohort

Ekelund, Ulf LU orcid ; Ohlsson, Bodil LU ; Melander, Olle LU orcid ; Björk, Jonas LU ; Ohlsson, Mattias LU orcid ; Forberg, Jakob Lundager LU ; de Capretz, Pontus Olsson LU ; Nyström, Axel LU and Björkelund, Anders LU (2024) In Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine 32. p.1-8
Abstract

BACKGROUND: In the European Union alone, more than 100 million people present to the emergency department (ED) each year, and this has increased steadily year-on-year by 2-3%. Better patient management decisions have the potential to reduce ED crowding, the number of diagnostic tests, the use of inpatient beds, and healthcare costs.

METHODS: We have established the Skåne Emergency Medicine (SEM) cohort for developing clinical decision support systems (CDSS) based on artificial intelligence or machine learning as well as traditional statistical methods. The SEM cohort consists of 325 539 unselected unique patients with 630 275 visits from January 1st, 2017 to December 31st, 2018 at eight EDs in the region Skåne in southern Sweden.... (More)

BACKGROUND: In the European Union alone, more than 100 million people present to the emergency department (ED) each year, and this has increased steadily year-on-year by 2-3%. Better patient management decisions have the potential to reduce ED crowding, the number of diagnostic tests, the use of inpatient beds, and healthcare costs.

METHODS: We have established the Skåne Emergency Medicine (SEM) cohort for developing clinical decision support systems (CDSS) based on artificial intelligence or machine learning as well as traditional statistical methods. The SEM cohort consists of 325 539 unselected unique patients with 630 275 visits from January 1st, 2017 to December 31st, 2018 at eight EDs in the region Skåne in southern Sweden. Data on sociodemographics, previous diseases and current medication are available for each ED patient visit, as well as their chief complaint, test results, disposition and the outcome in the form of subsequent diagnoses, treatments, healthcare costs and mortality within a follow-up period of at least 30 days, and up to 3 years.

DISCUSSION: The SEM cohort provides a platform for CDSS research, and we welcome collaboration. In addition, SEM's large amount of real-world patient data with almost complete short-term follow-up will allow research in epidemiology, patient management, diagnostics, prognostics, ED crowding, resource allocation, and social medicine.

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author
; ; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Humans, Sweden, Emergency Service, Hospital/statistics & numerical data, Emergency Medicine, Female, Male, Decision Support Systems, Clinical, Cohort Studies, Artificial Intelligence, Adult
in
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
volume
32
article number
37
pages
1 - 8
publisher
BioMed Central (BMC)
external identifiers
  • scopus:85191630503
  • pmid:38671511
ISSN
1757-7241
DOI
10.1186/s13049-024-01206-0
project
AIR Lund - Artificially Intelligent use of Registers
language
English
LU publication?
yes
additional info
© 2024. The Author(s).
id
633da053-654e-49d9-a188-dde545ede196
date added to LUP
2024-04-29 23:01:26
date last changed
2024-05-16 14:08:58
@article{633da053-654e-49d9-a188-dde545ede196,
  abstract     = {{<p>BACKGROUND: In the European Union alone, more than 100 million people present to the emergency department (ED) each year, and this has increased steadily year-on-year by 2-3%. Better patient management decisions have the potential to reduce ED crowding, the number of diagnostic tests, the use of inpatient beds, and healthcare costs.</p><p>METHODS: We have established the Skåne Emergency Medicine (SEM) cohort for developing clinical decision support systems (CDSS) based on artificial intelligence or machine learning as well as traditional statistical methods. The SEM cohort consists of 325 539 unselected unique patients with 630 275 visits from January 1st, 2017 to December 31st, 2018 at eight EDs in the region Skåne in southern Sweden. Data on sociodemographics, previous diseases and current medication are available for each ED patient visit, as well as their chief complaint, test results, disposition and the outcome in the form of subsequent diagnoses, treatments, healthcare costs and mortality within a follow-up period of at least 30 days, and up to 3 years.</p><p>DISCUSSION: The SEM cohort provides a platform for CDSS research, and we welcome collaboration. In addition, SEM's large amount of real-world patient data with almost complete short-term follow-up will allow research in epidemiology, patient management, diagnostics, prognostics, ED crowding, resource allocation, and social medicine.</p>}},
  author       = {{Ekelund, Ulf and Ohlsson, Bodil and Melander, Olle and Björk, Jonas and Ohlsson, Mattias and Forberg, Jakob Lundager and de Capretz, Pontus Olsson and Nyström, Axel and Björkelund, Anders}},
  issn         = {{1757-7241}},
  keywords     = {{Humans; Sweden; Emergency Service, Hospital/statistics & numerical data; Emergency Medicine; Female; Male; Decision Support Systems, Clinical; Cohort Studies; Artificial Intelligence; Adult}},
  language     = {{eng}},
  month        = {{04}},
  pages        = {{1--8}},
  publisher    = {{BioMed Central (BMC)}},
  series       = {{Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine}},
  title        = {{The skåne emergency medicine (SEM) cohort}},
  url          = {{http://dx.doi.org/10.1186/s13049-024-01206-0}},
  doi          = {{10.1186/s13049-024-01206-0}},
  volume       = {{32}},
  year         = {{2024}},
}