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Jamie Miles

Observed names: J Miles, Miles, Jamie
ORCID: 0000-0002-1080-768X
Observed ORCID: 0000-0002-1080-768X
OpenAlex ID: A5043447360
Using machine-learning risk prediction models to triage the acuity of undifferentiated patients entering the emergency care system: a systematic review
2020 · Jamie Miles, Janette Turner, et al. · Diagnostic and Prognostic Research · 85
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17 Exploring ambulance conveyances to the emergency department: a descriptive analysis of non-urgent transports
2017 · Jamie Miles, Colin O’Keeffe, et al. · Emergency Medicine Journal · 15
A service evaluation of paediatric pain management in an English ambulance service
2019 · Richard Pilbery, Jamie Miles, et al. · British Paramedic Journal · 11
Using vignettes to assess the accuracy and rationale of paramedic decisions on conveyance to the emergency department
2019 · Jamie Miles, Joanne Coster, et al. · British Paramedic Journal · 11
The Safety INdEx of Prehospital On Scene Triage (SINEPOST) study: The development and validation of a risk prediction model to support ambulance clinical transport decisions on-scene
2022 · Jamie Miles, Richard Jacques, et al. · PLoS ONE · 9
The Safety INdEx of Prehospital On Scene Triage (SINEPOST) study: the development and validation of a risk prediction model to support ambulance clinical transport decisions on-scene—a protocol
2021 · Jamie Miles, Richard Jacques, et al. · Diagnostic and Prognostic Research · 4
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What factors predict ambulance pre-alerts to the emergency department? Analysis of routine data from 3 UK ambulance services
2023 · Fiona Sampson, Richard Pilbery, et al. · medRxiv · 3
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Use of artificial intelligence in the out-of-hospital care settings: a scoping review
2026 · Jamie Miles, Mike Brady, et al. · BMJ Digital Health & AI · 2
62 Thinking on scene: using vignettes to assess the accuracy and rationale of paramedic decision making
2018 · J Miles, J Coster, et al. · BMJ Open · 2
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Exploring the use of pre-hospital pre-alerts and their impact on patients, Ambulance Service and Emergency Department staff: a mixed-methods study
2025 · Fiona C Sampson, Jaqui Long, et al. · Health and Social Care Delivery Research · 1
What factors predict ambulance prealerts to the emergency department? Retrospective observational study from three UK ambulance services
2025 · Richard Pilbery, Fiona C Sampson, et al. · BMJ Open · 1
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What factors predict ambulance pre-alerts to the emergency department? Analysis of routine data from three UK ambulance services.
2024 · Fiona Clare Sampson, Richard Pilbery, et al. · Research Square · 1
05 The safety index of prehospital on scene triage (SINEPOST) study: The development and validation of a risk prediction model to support ambulance clinical transport decisions on-scene
2023 · Jamie Miles, Richard Jacques, et al. · Emergency Medicine Journal · 1
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PP26 Exploring the use of pre-hospital pre-alerts and their impact on patients, ambulance service and emergency department staff: protocol for a mixed methods study
2022 · Fiona C Sampson, Fiona Bell, et al. · Emergency Medicine Journal · 1
59 Ambulance over-conveyance to the emergency department: a large data analysis of ambulance journeys
2018 · J Miles, C O’Keeffe, et al. · BMJ Open · 1
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The SINEPOST study
2023 · Miles, Jamie, Jacques, Richard, et al. · amber - ambulance research repository
Creating a decision support tool to help paramedics decide if their patients need to go to hospital
2021 · Jamie Miles · http://isrctn.com/
Emergency Medicine JournalCOVID-19 monthly top five
2021 · Michael Tonkins, Jamie Miles, et al. · Emergency Medicine Journal
Works count: 23
Citation count: 149
H-index: 5
I10-index: 4
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