Anders Björkelund
Researcher
The skåne emergency medicine (SEM) cohort
Author
Summary, in English
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.
Department/s
- EpiHealth: Epidemiology for Health
- Internal Medicine - Epidemiology
- MultiPark: Multidisciplinary research focused on Parkinson´s disease
- EXODIAB: Excellence of Diabetes Research in Sweden
- Cardiovascular Research - Hypertension
- LU Profile Area: Nature-based future solutions
- EPI@LUND
- Surgery and public health
- eSSENCE: The e-Science Collaboration
- Computational Science for Health and Environment
- LU Profile Area: Natural and Artificial Cognition
- Artificial Intelligence in CardioThoracic Sciences (AICTS)
- Emergency medicine
- Division of Occupational and Environmental Medicine, Lund University
- Centre for Environmental and Climate Science (CEC)
- Electrocardiology Research Group - CIEL
Publishing year
2024-04-26
Language
English
Pages
1-8
Publication/Series
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
Volume
32
Document type
Journal article
Publisher
BioMed Central (BMC)
Topic
- Health Care Service and Management, Health Policy and Services and Health Economy
Keywords
- Humans
- Sweden
- Emergency Service, Hospital/statistics & numerical data
- Emergency Medicine
- Female
- Male
- Decision Support Systems, Clinical
- Cohort Studies
- Artificial Intelligence
- Adult
Status
Published
Project
- AIR Lund - Artificially Intelligent use of Registers
Research group
- Internal Medicine - Epidemiology
- Cardiovascular Research - Hypertension
- EPI@LUND
- Surgery and public health
- Computational Science for Health and Environment
- Artificial Intelligence in CardioThoracic Sciences (AICTS)
- Emergency medicine
- Electrocardiology Research Group - CIEL
ISBN/ISSN/Other
- ISSN: 1757-7241