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Refinado por: Base de dados/Biblioteca: Gale Academic OneFile remover Base de dados/Biblioteca: SpringerLink remover
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11
Increasing emergency number utilisation is not driven by low-acuity calls: an observational study of 1.5 million emergency calls (2018-2021) from Berlin
Increasing emergency number utilisation is not driven by low-acuity calls: an observational study of 1.5 million emergency calls (2018-2021) from Berlin
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Increasing emergency number utilisation is not driven by low-acuity calls: an observational study of 1.5 million emergency calls (2018-2021) from Berlin

Herr, David ; Bhatia, Sangeeta ; Breuer, Florian ; Poloczek, Stefan ; Pommerenke, Christopher ; Dahmen, Janosch

BMC medicine, 2023-05, Vol.21 (1), p.184-184, Article 184 [Periódico revisado por pares]

England: BioMed Central Ltd

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12
Application of four-dimension criteria to assess rigour of qualitative research in emergency medicine
Application of four-dimension criteria to assess rigour of qualitative research in emergency medicine
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Application of four-dimension criteria to assess rigour of qualitative research in emergency medicine

Forero, Roberto ; Nahidi, Shizar ; De Costa, Josephine ; Mohsin, Mohammed ; Fitzgerald, Gerry ; Gibson, Nick ; McCarthy, Sally ; Aboagye-Sarfo, Patrick

BMC health services research, 2018-02, Vol.18 (1), p.120-120, Article 120 [Periódico revisado por pares]

England: BioMed Central Ltd

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13
Live video from bystanders’ smartphones to medical dispatchers in real emergencies
Live video from bystanders’ smartphones to medical dispatchers in real emergencies
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Live video from bystanders’ smartphones to medical dispatchers in real emergencies

Linderoth, Gitte ; Lippert, Freddy ; Østergaard, Doris ; Ersball, Annette K ; Meyhoff, Christian S ; Folke, Fredrik ; Christensen, Helle C

BMC emergency medicine, 2021-09, Vol.21 (1), p.1-101, Article 101 [Periódico revisado por pares]

London: BioMed Central Ltd

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14
Poor performance of quick-SOFA (qSOFA) score in predicting severe sepsis and mortality: a prospective study of patients admitted with infection to the emergency department
Poor performance of quick-SOFA (qSOFA) score in predicting severe sepsis and mortality: a prospective study of patients admitted with infection to the emergency department
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Poor performance of quick-SOFA (qSOFA) score in predicting severe sepsis and mortality: a prospective study of patients admitted with infection to the emergency department

Askim, Åsa ; Moser, Florentin ; Gustad, Lise T ; Stene, Helga ; Gundersen, Maren ; Åsvold, Bjørn Olav ; Dale, Jostein ; Bjørnsen, Lars Petter ; Damås, Jan Kristian ; Solligård, Erik

Scandinavian journal of trauma, resuscitation and emergency medicine, 2017-06, Vol.25 (1), p.56-56, Article 56 [Periódico revisado por pares]

England: BioMed Central Ltd

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15
Management of COVID-19-related challenges faced by EMS personnel: a qualitative study
Management of COVID-19-related challenges faced by EMS personnel: a qualitative study
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Management of COVID-19-related challenges faced by EMS personnel: a qualitative study

Mohammadi, Fateme ; Tehranineshat, Banafsheh ; Bijani, Mostafa ; Khaleghi, Ali Asghar

BMC emergency medicine, 2021-08, Vol.21 (1), p.95-9, Article 95 [Periódico revisado por pares]

England: BioMed Central Ltd

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16
Telemedical support for prehospital emergency medical service in severe emergencies: an open-label randomised non-inferiority clinical trial
Telemedical support for prehospital emergency medical service in severe emergencies: an open-label randomised non-inferiority clinical trial
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Telemedical support for prehospital emergency medical service in severe emergencies: an open-label randomised non-inferiority clinical trial

Kowark, Ana ; Felzen, Marc ; Ziemann, Sebastian ; Wied, Stephanie ; Czaplik, Michael ; Beckers, Stefan K ; Brokmann, Jörg C ; Hilgers, Ralf-Dieter ; Rossaint, Rolf

Critical care (London, England), 2023-06, Vol.27 (1), p.256-256, Article 256 [Periódico revisado por pares]

England: BioMed Central Ltd

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17
Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical services
Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical services
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Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical services

Kang, Da-Young ; Cho, Kyung-Jae ; Kwon, Oyeon ; Kwon, Joon-Myoung ; Jeon, Ki-Hyun ; Park, Hyunho ; Lee, Yeha ; Park, Jinsik ; Oh, Byung-Hee

Scandinavian journal of trauma, resuscitation and emergency medicine, 2020-03, Vol.28 (1), p.17-17, Article 17 [Periódico revisado por pares]

England: BioMed Central Ltd

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18
Appropriateness of transferring nursing home residents to emergency departments: a systematic review
Appropriateness of transferring nursing home residents to emergency departments: a systematic review
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Appropriateness of transferring nursing home residents to emergency departments: a systematic review

Lemoyne, Sabine E ; Herbots, Hanne H ; De Blick, Dennis ; Remmen, Roy ; Monsieurs, Koenraad G ; Van Bogaert, Peter

BMC geriatrics, 2019-01, Vol.19 (1), p.17-17, Article 17 [Periódico revisado por pares]

England: BioMed Central Ltd

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19
Paediatric emergency medicine practice in Nigeria: a narrative review
Paediatric emergency medicine practice in Nigeria: a narrative review
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Paediatric emergency medicine practice in Nigeria: a narrative review

Eze, Joy N ; Edelu, Benedict O ; Ndu, Ikenna K ; Oguonu, Tagbo

BMC emergency medicine, 2023-03, Vol.23 (1), p.31-31, Article 31 [Periódico revisado por pares]

England: BioMed Central Ltd

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20
Evaluating the disaster preparedness of emergency medical services (EMS) facilities: a cross-sectional investigation in Iran
Evaluating the disaster preparedness of emergency medical services (EMS) facilities: a cross-sectional investigation in Iran
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Evaluating the disaster preparedness of emergency medical services (EMS) facilities: a cross-sectional investigation in Iran

Beyrami Jam, Mehdi ; Aminizadeh, Mohsen ; Akbari-Shahrestanaki, Yousof ; Khankeh, Hamid Reza

BMC emergency medicine, 2024-03, Vol.24 (1), p.48-48 [Periódico revisado por pares]

England: BioMed Central Ltd

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