Understanding and applying practitioner and patient views on the implementation of a novel automated Computer-Aided Risk Score (CARS) predicting the risk of death following emergency medical admission to hospital: Qualitative study

Judith Dyson; Claire Marsh; Natalie Jackson; Donald Richardson; Muhammad Faisal; Andrew J. Scally; Mohammed Mohammed

doi:10.1136/bmjopen-2018-026591

Understanding and applying practitioner and patient views on the implementation of a novel automated Computer-Aided Risk Score (CARS) predicting the risk of death following emergency medical admission to hospital: Qualitative study

Judith Dyson^*
, Claire Marsh
, Natalie Jackson
, Donald Richardson
, Muhammad Faisal
, Andrew J. Scally
, Mohammed Mohammed

^*Corresponding author for this work

University of Hull
Bradford Teaching Hospitals NHS Foundation Trust
York Teaching Hospital NHS Foundation Trust
University of Bradford

Research output: Contribution to journal › Article › peer-review

4 Citations (SciVal)

Original language	English
Article number	e026591
Journal	BMJ Open
Volume	9
Issue number	4
DOIs	https://doi.org/10.1136/bmjopen-2018-026591
Publication status	Published (VoR) - 1 Apr 2019

Funding

Funding This study is funded by the Health Foundation and the National Institute for Health Research (NIHR) Yorkshire and Humber Patient Safety Translational Research Centre (NIHR Yorkshire and Humber PSTRC). The Health Foundation is an independent charity working to improve the quality of health care in the UK.

Keywords

cars
computer aided risk score
early warning score
hospital mortality
implementation
service user involvement

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10.1136/bmjopen-2018-026591

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Dyson, J., Marsh, C., Jackson, N., Richardson, D., Faisal, M., Scally, A. J., & Mohammed, M. (2019). Understanding and applying practitioner and patient views on the implementation of a novel automated Computer-Aided Risk Score (CARS) predicting the risk of death following emergency medical admission to hospital: Qualitative study. BMJ Open, 9(4), Article e026591. https://doi.org/10.1136/bmjopen-2018-026591

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keywords = "cars, computer aided risk score, early warning score, hospital mortality, implementation, service user involvement",

author = "Judith Dyson and Claire Marsh and Natalie Jackson and Donald Richardson and Muhammad Faisal and Scally, \{Andrew J.\} and Mohammed Mohammed",

note = "Funding Information: Funding This study is funded by the Health Foundation and the National Institute for Health Research (NIHR) Yorkshire and Humber Patient Safety Translational Research Centre (NIHR Yorkshire and Humber PSTRC). The Health Foundation is an independent charity working to improve the quality of health care in the UK. Publisher Copyright: {\textcopyright} 2019 Author(s). Published by BMJ.",

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doi = "10.1136/bmjopen-2018-026591",

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Dyson, J, Marsh, C, Jackson, N, Richardson, D, Faisal, M, Scally, AJ & Mohammed, M 2019, 'Understanding and applying practitioner and patient views on the implementation of a novel automated Computer-Aided Risk Score (CARS) predicting the risk of death following emergency medical admission to hospital: Qualitative study', BMJ Open, vol. 9, no. 4, e026591. https://doi.org/10.1136/bmjopen-2018-026591

Understanding and applying practitioner and patient views on the implementation of a novel automated Computer-Aided Risk Score (CARS) predicting the risk of death following emergency medical admission to hospital: Qualitative study. / Dyson, Judith; Marsh, Claire; Jackson, Natalie et al.
In: BMJ Open, Vol. 9, No. 4, e026591, 01.04.2019.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Understanding and applying practitioner and patient views on the implementation of a novel automated Computer-Aided Risk Score (CARS) predicting the risk of death following emergency medical admission to hospital

T2 - Qualitative study

AU - Dyson, Judith

AU - Marsh, Claire

AU - Jackson, Natalie

AU - Richardson, Donald

AU - Faisal, Muhammad

AU - Scally, Andrew J.

AU - Mohammed, Mohammed

N1 - Funding Information: Funding This study is funded by the Health Foundation and the National Institute for Health Research (NIHR) Yorkshire and Humber Patient Safety Translational Research Centre (NIHR Yorkshire and Humber PSTRC). The Health Foundation is an independent charity working to improve the quality of health care in the UK. Publisher Copyright: © 2019 Author(s). Published by BMJ.

PY - 2019/4/1

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KW - cars

KW - computer aided risk score

KW - early warning score

KW - hospital mortality

KW - implementation

KW - service user involvement

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Dyson J, Marsh C, Jackson N, Richardson D, Faisal M, Scally AJ et al. Understanding and applying practitioner and patient views on the implementation of a novel automated Computer-Aided Risk Score (CARS) predicting the risk of death following emergency medical admission to hospital: Qualitative study. BMJ Open. 2019 Apr 1;9(4):e026591. doi: 10.1136/bmjopen-2018-026591

Understanding and applying practitioner and patient views on the implementation of a novel automated Computer-Aided Risk Score (CARS) predicting the risk of death following emergency medical admission to hospital: Qualitative study

Funding

Keywords

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