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The skåne emergency...
The skåne emergency medicine (SEM) cohort
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- Ekelund, Ulf (författare)
- Lund University,Lunds universitet,Skåne University Hospital,Department Of Clinical Sciences Lund, Lund, Sweden
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- Ohlsson, Bodil (författare)
- Lund University,Lunds universitet,Internmedicin - epidemiologi,Forskargrupper vid Lunds universitet,Internal Medicine - Epidemiology,Lund University Research Groups,Skåne University Hospital,University Hospital, Lund, Sweden
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- Melander, Olle (författare)
- Lund University,Lunds universitet,Kardiovaskulär forskning - hypertoni,Forskargrupper vid Lunds universitet,Cardiovascular Research - Hypertension,Lund University Research Groups,Skåne University Hospital,University Hospital, Lund, Sweden
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- Björk, Jonas (författare)
- Lund University,Lunds universitet,Kirurgi och folkhälsa,Forskargrupper vid Lunds universitet,EPI@LUND,LU profilområde: Naturbaserade framtidslösningar,Lunds universitets profilområden,Surgery and public health,Lund University Research Groups,LU Profile Area: Nature-based future solutions,Lund University Profile areas,Skåne University Hospital,Department Of Laboratory Medicine, Lund, Sweden; University Hospital, Lund, Sweden
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- Ohlsson, Mattias (författare)
- Högskolan i Halmstad,Halmstad University,Lund University,Lunds universitet,Artificiell intelligens och thoraxkirurgisk vetenskap (AICTS),Forskargrupper vid Lunds universitet,LU profilområde: Naturlig och artificiell kognition,Lunds universitets profilområden,Beräkningsvetenskap för hälsa och miljö,Artificial Intelligence in CardioThoracic Sciences (AICTS),Lund University Research Groups,LU Profile Area: Natural and Artificial Cognition,Lund University Profile areas,Computational Science for Health and Environment,Akademin för informationsteknologi,Lund University, Lund, Sweden
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- Forberg, Jakob Lundager (författare)
- Lund University,Lunds universitet,Akutsjukvård,Forskargrupper vid Lunds universitet,Emergency medicine,Lund University Research Groups,Helsingborg Hospital,Department Of Clinical Sciences Lund, Lund, Sweden
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- de Capretz, Pontus Olsson (författare)
- Lund University,Lunds universitet,Akutsjukvård,Forskargrupper vid Lunds universitet,Emergency medicine,Lund University Research Groups,Skåne University Hospital,Department Of Clinical Sciences Lund, Lund, Sweden
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- Nyström, Axel (författare)
- Lund University,Lunds universitet,Avdelningen för arbets- och miljömedicin,Institutionen för laboratoriemedicin,Medicinska fakulteten,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,EPI@LUND,Forskargrupper vid Lunds universitet,Division of Occupational and Environmental Medicine, Lund University,Department of Laboratory Medicine,Faculty of Medicine,Centre for Environmental and Climate Science (CEC),Faculty of Science,Lund University Research Groups,Department Of Laboratory Medicine, Lund, Sweden; Lund University, Lund, Sweden
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- Björkelund, Anders (författare)
- Lund University,Lunds universitet,Electrocardiology Research Group - CIEL,Forskargrupper vid Lunds universitet,Beräkningsvetenskap för hälsa och miljö,Lund University Research Groups,Computational Science for Health and Environment,Lund University, Lund, Sweden
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(creator_code:org_t)
- London : BioMed Central (BMC), 2024
- 2024
- Engelska.
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Ingår i: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine. - London : BioMed Central (BMC). - 1757-7241. ; 32, s. 1-8
- Relaterad länk:
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http://dx.doi.org/10... (free)
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https://doi.org/10.1...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Hälso- och sjukvårdsorganisation, hälsopolitik och hälsoekonomi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Health Care Service and Management, Health Policy and Services and Health Economy (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences (hsv//eng)
Nyckelord
- Humans
- Sweden
- Emergency Service, Hospital/statistics & numerical data
- Emergency Medicine
- Female
- Male
- Decision Support Systems, Clinical
- Cohort Studies
- Artificial Intelligence
- Adult
- Artificial intelligence
- IDC
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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